diff --git a/workflows/opendap/CIDA/MACAV2/future_daily_01_nc_to_zarr.ipynb b/workflows/opendap/CIDA/MACAV2/future_daily_01_nc_to_zarr.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..ac72ef00dafa5e71c00864000fb2b410898bc1aa
--- /dev/null
+++ b/workflows/opendap/CIDA/MACAV2/future_daily_01_nc_to_zarr.ipynb
@@ -0,0 +1,9184 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MACAV2 Future Monthly dataset\n",
+    "\n",
+    "Step 1: Rechunk each NC file individually. Prior to merging. \n",
+    "\n",
+    "## Setting up the execution environment:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "import os\n",
+    "os.environ['AWS_PROFILE'] = 'nhgf-dev'\n",
+    "os.environ['AWS_ENDPOINT'] = 'https://s3.us-west-2.amazonaws.com/'\n",
+    "%run ../../../AWS.ipynb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pathlib\n",
+    "import logging\n",
+    "import xarray as xr\n",
+    "from datetime import datetime\n",
+    "import warnings\n",
+    "from tqdm import tqdm\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "# logging.basicConfig(level=logging.INFO, force=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Python     : 3.11.6 | packaged by conda-forge | (main, Oct  3 2023, 10:40:35) [GCC 12.3.0]\n",
+      "dask       : 2023.8.1\n",
+      "fsspec     : 2023.10.0\n",
+      "kerchunk   : --\n",
+      "s3fs       : 2023.10.0\n",
+      "xarray     : 2023.10.1\n",
+      "zarr       : 2.16.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "_versions(['dask', 'fsspec', 'zarr', 'xarray', 'kerchunk', 's3fs'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finding source files\n",
+    "\n",
+    "To make this list of sources easier to work with, I made a simple flat text file of the various \n",
+    "`.nc` files that will need to be processed.  That file is in `worklist.txt` in the scratch space\n",
+    "on Caldera. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "List of *.nc files has been saved to list_of_future_daily_nc_files.txt\n"
+     ]
+    }
+   ],
+   "source": [
+    "srcdir =  pathlib.Path(\"/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/\")\n",
+    "# The text file where the list of *.nc files will be saved\n",
+    "output_file_path = 'list_of_future_daily_nc_files.txt'\n",
+    "\n",
+    "# Initialize an empty list to store file names\n",
+    "nc_files = []\n",
+    "\n",
+    "# List the content of the directory\n",
+    "for filename in os.listdir(srcdir):\n",
+    "    # Check if the file is an *.nc file\n",
+    "    if filename.endswith('.nc'):\n",
+    "        nc_files.append(filename)\n",
+    "\n",
+    "# Write the list of *.nc files into the text file\n",
+    "with open(srcdir / output_file_path, 'w') as f:\n",
+    "    for nc_file in nc_files:\n",
+    "        f.write(f\"{nc_file}\\n\")\n",
+    "\n",
+    "print(f\"List of *.nc files has been saved to {output_file_path}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CCSM4_r6i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_NorESM1-M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_NorESM1-M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CCSM4_r6i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_NorESM1-M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_NorESM1-M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CCSM4_r6i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CCSM4_r6i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MIROC-ESM_r1i1p_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CCSM4_r6i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_NorESM1-M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CCSM4_r6i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CCSM4_r6i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_NorESM1-M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_NorESM1-M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_NorESM1-M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CCSM4_r6i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CCSM4_r6i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_NorESM1-M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_HadGEM2-ES365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CCSM4_r6i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CSIRO-Mk3-6-0_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_NorESM1-M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_inmcm4_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CCSM4_r6i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_IPSL-CM5A-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_NorESM1-M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_HadGEM2-CC365_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CanESM2_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CCSM4_r6i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_MIROC5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MRI-CGCM3_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MIROC-ESM-CHEM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_bcc-csm1-1_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CCSM4_r6i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_GFDL-ESM2G_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_IPSL-CM5B-LR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_IPSL-CM5A-MR_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_NorESM1-M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_MIROC-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_NorESM1-M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CNRM-CM5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_HadGEM2-ES365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CNRM-CM5_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_MRI-CGCM3_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_CanESM2_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_IPSL-CM5A-MR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_BNU-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_CCSM4_r6i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_NorESM1-M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_bcc-csm1-1-m_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_bcc-csm1-1-m_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MIROC-ESM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MIROC5_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmax_IPSL-CM5B-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_bcc-csm1-1_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_GFDL-ESM2M_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_BNU-ESM_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlpr_MIROC-ESM-CHEM_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_GFDL-ESM2G_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlvas_inmcm4_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmluas_GFDL-ESM2M_r1i1p1_rcp45.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrsds_HadGEM2-CC365_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmltasmin_IPSL-CM5A-LR_r1i1p1_rcp85.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlrhsmin_bcc-csm1-1-m_r1i1p1_rcp45.nc')]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "worklist = []\n",
+    "with open(srcdir / output_file_path, \"r\") as wl:\n",
+    "    while fname:=wl.readline().strip():\n",
+    "        worklist.append(srcdir / fname)\n",
+    "worklist"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Start a dask cluster\n",
+    "Because we are using dask arrays under the cover, processing them will benefit from \n",
+    "clustered/parallel capabilities. While we *could* do a SLURM cluster, the local cluster\n",
+    "is adequate for this task -- and it prevents us having to broadcast/scatter data among\n",
+    "the cluster nodes.  A local cluster's workers are not remote."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dask Dashboard is available at: http://127.0.0.1:8787/status\n"
+     ]
+    }
+   ],
+   "source": [
+    "from dask.distributed import Client, LocalCluster\n",
+    "\n",
+    "try:\n",
+    "    if 'client' in locals():\n",
+    "        client.close()\n",
+    "        cluster.close()\n",
+    "    cluster = LocalCluster(n_workers=7, threads_per_worker=2)\n",
+    "    client = Client(cluster)\n",
+    "except Exception as e:\n",
+    "    print(f\"An error occurred: {e}\")\n",
+    "\n",
+    "# Display the Dask Dashboard URL\n",
+    "print(f\"Dask Dashboard is available at: {client.dashboard_link}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "351"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(worklist)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
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+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
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+       "  margin-top: 0;\n",
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+       "\n",
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+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
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+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
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+       "  font-weight: 500;\n",
+       "}\n",
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+       "  display: inline-block;\n",
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+       "  grid-column: 1 / -1;\n",
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+       "  grid-column: 1;\n",
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+       "\n",
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+       "}\n",
+       "\n",
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+       "\n",
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+       "}\n",
+       "\n",
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+       "  float: right;\n",
+       "}\n",
+       "\n",
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+       ".xr-var-data,\n",
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+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                             (crs: 1, lat: 585, lon: 1386,\n",
+       "                                         time: 34333)\n",
+       "Coordinates:\n",
+       "  * crs                                 (crs) int32 1\n",
+       "  * lat                                 (lat) float64 25.06 25.1 ... 49.35 49.4\n",
+       "  * lon                                 (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                (time) datetime64[ns] 2006-01-01 ... ...\n",
+       "Data variables: (12/46)\n",
+       "    huss_CCSM4_r6i1p1_rcp85             (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_CSIRO-Mk3-6-0_r1i1p1_rcp45     (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_GFDL-ESM2M_r1i1p1_rcp85        (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_HadGEM2-ES365_r1i1p1_rcp85     (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_IPSL-CM5A-LR_r1i1p1_rcp85      (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_IPSL-CM5B-LR_r1i1p1_rcp45      (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    ...                                  ...\n",
+       "    vas_CNRM-CM5_r1i1p1_rcp85           (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_IPSL-CM5B-LR_r1i1p1_rcp45       (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_MIROC-ESM-CHEM_r1i1p1_rcp85     (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_MIROC-ESM_r1i1p1_rcp45          (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_NorESM1-M_r1i1p1_rcp85          (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_inmcm4_r1i1p1_rcp45             (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "Attributes: (12/45)\n",
+       "    description:                     Multivariate Adaptive Constructed Analog...\n",
+       "    id:                              MACAv2-METDATA\n",
+       "    naming_authority:                edu.uidaho.reacch\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    ...                              ...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    publisher_name:                  \n",
+       "    publisher_email:                 \n",
+       "    publisher_url:                   \n",
+       "    license:                         Creative Commons CC0 1.0 Universal Dedic...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b77fb940-daf0-4d9f-8a63-bc19697994f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b77fb940-daf0-4d9f-8a63-bc19697994f8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>crs</span>: 1</li><li><span class='xr-has-index'>lat</span>: 585</li><li><span class='xr-has-index'>lon</span>: 1386</li><li><span class='xr-has-index'>time</span>: 34333</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-821c1a1f-39b3-4018-ab76-d2e1fbe4b7a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-821c1a1f-39b3-4018-ab76-d2e1fbe4b7a3' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>crs</span></div><div class='xr-var-dims'>(crs)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-8133a42e-a046-42de-b4aa-113dae9b0389' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8133a42e-a046-42de-b4aa-113dae9b0389' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49e45f98-cc12-42bb-84bc-16f17b4d8884' class='xr-var-data-in' type='checkbox'><label for='data-49e45f98-cc12-42bb-84bc-16f17b4d8884' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array([1], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.06 25.1 25.15 ... 49.35 49.4</div><input id='attrs-72d71fba-81d9-4568-ab44-eebbc50977a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72d71fba-81d9-4568-ab44-eebbc50977a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cb8268b-b3ab-447b-ade7-1fad4fef2e30' class='xr-var-data-in' type='checkbox'><label for='data-8cb8268b-b3ab-447b-ade7-1fad4fef2e30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>description :</span></dt><dd>Latitude of the center of the grid cell</dd></dl></div><div class='xr-var-data'><pre>array([25.063078, 25.104744, 25.14641 , ..., 49.312691, 49.354359, 49.396023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>235.2 235.3 235.3 ... 292.9 292.9</div><input id='attrs-79fb845a-94a0-4e62-b599-b93b840ba860' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79fb845a-94a0-4e62-b599-b93b840ba860' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6330923-679d-4537-891e-917e6caeb1e8' class='xr-var-data-in' type='checkbox'><label for='data-c6330923-679d-4537-891e-917e6caeb1e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>description :</span></dt><dd>Longitude of the center of the grid cell</dd></dl></div><div class='xr-var-data'><pre>array([235.227844, 235.269501, 235.311157, ..., 292.851929, 292.893585,\n",
+       "       292.935242])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2006-01-01 ... 2099-12-31</div><input id='attrs-29c8bae2-1c0a-491f-93b8-987ef0c14088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29c8bae2-1c0a-491f-93b8-987ef0c14088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-747960e5-95ba-4c21-a8eb-6e1cd2fd54f8' class='xr-var-data-in' type='checkbox'><label for='data-747960e5-95ba-4c21-a8eb-6e1cd2fd54f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>days since 1900-01-01</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-02T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2006-01-03T00:00:00.000000000&#x27;, ..., &#x27;2099-12-29T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2099-12-30T00:00:00.000000000&#x27;, &#x27;2099-12-31T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eaa69b1c-2408-4da5-a041-c2f94f03f200' class='xr-section-summary-in' type='checkbox'  ><label for='section-eaa69b1c-2408-4da5-a041-c2f94f03f200' class='xr-section-summary' >Data variables: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>huss_CCSM4_r6i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-461d2181-31a5-49fe-8bdc-35f6bd66d84e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-461d2181-31a5-49fe-8bdc-35f6bd66d84e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf5045ed-9b71-45d9-9a1c-27f83b3372e8' class='xr-var-data-in' type='checkbox'><label for='data-bf5045ed-9b71-45d9-9a1c-27f83b3372e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-be371455-ecd3-4833-890d-46a39ddad312' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be371455-ecd3-4833-890d-46a39ddad312' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a92377f3-af66-4ab2-9881-24e829a001f4' class='xr-var-data-in' type='checkbox'><label for='data-a92377f3-af66-4ab2-9881-24e829a001f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d31a41b6-6113-4804-9390-82d23ba0dd1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d31a41b6-6113-4804-9390-82d23ba0dd1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94d79c43-0aac-4f64-b8ef-2f957c2ea8bb' class='xr-var-data-in' type='checkbox'><label for='data-94d79c43-0aac-4f64-b8ef-2f957c2ea8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_HadGEM2-ES365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6b09fad5-dbce-4a5c-bd8f-c09af59af767' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b09fad5-dbce-4a5c-bd8f-c09af59af767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c970c14-8bb1-447c-bc9d-fd9335eb76a3' class='xr-var-data-in' type='checkbox'><label for='data-2c970c14-8bb1-447c-bc9d-fd9335eb76a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5A-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8bfe191d-80a0-468d-9efe-820ec0d73175' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bfe191d-80a0-468d-9efe-820ec0d73175' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c739984-eb3a-44b4-8ad7-8eeb488220be' class='xr-var-data-in' type='checkbox'><label for='data-0c739984-eb3a-44b4-8ad7-8eeb488220be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5B-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ae6f51ff-6a10-4140-a743-6f0ad53735a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae6f51ff-6a10-4140-a743-6f0ad53735a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-333a6e0f-417d-43a6-9461-486faaf20ffc' class='xr-var-data-in' type='checkbox'><label for='data-333a6e0f-417d-43a6-9461-486faaf20ffc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC-ESM-CHEM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9c5e1eb5-faf2-4cd9-a41c-8733e125abea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c5e1eb5-faf2-4cd9-a41c-8733e125abea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b08f339b-8a45-4c22-85ea-413056d89bee' class='xr-var-data-in' type='checkbox'><label for='data-b08f339b-8a45-4c22-85ea-413056d89bee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC-ESM-CHEM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-642af515-1eb8-4b59-8a99-1a9caa9df686' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-642af515-1eb8-4b59-8a99-1a9caa9df686' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b04c3adf-3a46-4ff5-8da6-1487065c7faf' class='xr-var-data-in' type='checkbox'><label for='data-b04c3adf-3a46-4ff5-8da6-1487065c7faf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e5aca908-0f51-4a32-9b3d-29071d3cf372' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5aca908-0f51-4a32-9b3d-29071d3cf372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc7cf69a-f9f6-4c4c-b450-fc06caf105f4' class='xr-var-data-in' type='checkbox'><label for='data-bc7cf69a-f9f6-4c4c-b450-fc06caf105f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-c8083599-0a0e-47dd-9ef5-3697d4335d79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8083599-0a0e-47dd-9ef5-3697d4335d79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86d62631-652c-459f-8037-356074e67755' class='xr-var-data-in' type='checkbox'><label for='data-86d62631-652c-459f-8037-356074e67755' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_HadGEM2-CC365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8fd4fb8c-4bff-41e6-951c-6e9fb8e0da72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fd4fb8c-4bff-41e6-951c-6e9fb8e0da72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13f0a4f6-265e-4df9-8f07-e0acbd5d59ac' class='xr-var-data-in' type='checkbox'><label for='data-13f0a4f6-265e-4df9-8f07-e0acbd5d59ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e7835441-820c-4ede-8f40-50d541afacca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7835441-820c-4ede-8f40-50d541afacca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eea4fa2d-e90b-48ba-a5c4-7868ce0c4738' class='xr-var-data-in' type='checkbox'><label for='data-eea4fa2d-e90b-48ba-a5c4-7868ce0c4738' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-fff700ce-261f-4fb0-92f7-2a19ab80701f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fff700ce-261f-4fb0-92f7-2a19ab80701f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46c04e77-bba0-4778-a1ea-7c4241eb96d3' class='xr-var-data-in' type='checkbox'><label for='data-46c04e77-bba0-4778-a1ea-7c4241eb96d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3124f179-0dba-48c0-9228-eeda208da8bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3124f179-0dba-48c0-9228-eeda208da8bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1d9720a-ca2c-4bfb-8457-3391ff5e1bf0' class='xr-var-data-in' type='checkbox'><label for='data-a1d9720a-ca2c-4bfb-8457-3391ff5e1bf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-CC365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f0693b95-9f5f-4d05-9daa-d72cab1ca1ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0693b95-9f5f-4d05-9daa-d72cab1ca1ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23d5084c-c906-479c-bfb1-ec2d02c9005f' class='xr-var-data-in' type='checkbox'><label for='data-23d5084c-c906-479c-bfb1-ec2d02c9005f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2a0eb629-f1a8-4979-804b-431a8e054d75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a0eb629-f1a8-4979-804b-431a8e054d75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d4cd9ea-bef3-4107-b178-40c0711b83aa' class='xr-var-data-in' type='checkbox'><label for='data-5d4cd9ea-bef3-4107-b178-40c0711b83aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-834bf7a2-e808-4945-b5e6-674eb2c06065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-834bf7a2-e808-4945-b5e6-674eb2c06065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f55aa098-b3d1-4f8e-9153-387c96bf9460' class='xr-var-data-in' type='checkbox'><label for='data-f55aa098-b3d1-4f8e-9153-387c96bf9460' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-c9f39d39-a0cd-4eb2-a7e2-21f4714ac077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9f39d39-a0cd-4eb2-a7e2-21f4714ac077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c355839-49fb-47b6-9cfb-9dffd8c089b3' class='xr-var-data-in' type='checkbox'><label for='data-6c355839-49fb-47b6-9cfb-9dffd8c089b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-c37d203e-eefa-43aa-9976-80dbf6bf7373' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c37d203e-eefa-43aa-9976-80dbf6bf7373' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fda8a51-912e-4f48-91d9-39f90864a5e0' class='xr-var-data-in' type='checkbox'><label for='data-0fda8a51-912e-4f48-91d9-39f90864a5e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-944d831d-5e57-4a71-967a-254b664a6edb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-944d831d-5e57-4a71-967a-254b664a6edb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1de176cf-2b57-4f31-83f3-70d7102f6d23' class='xr-var-data-in' type='checkbox'><label for='data-1de176cf-2b57-4f31-83f3-70d7102f6d23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MRI-CGCM3_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3e35ccf1-10ef-479e-b730-07f64557d1fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e35ccf1-10ef-479e-b730-07f64557d1fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-846521a1-3078-439c-ab15-6496c8e3a4ba' class='xr-var-data-in' type='checkbox'><label for='data-846521a1-3078-439c-ab15-6496c8e3a4ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8eba1a7a-a2d8-4a0d-8612-fbaef7f70f8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8eba1a7a-a2d8-4a0d-8612-fbaef7f70f8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95c5b96f-3ced-4e3c-929e-7ba8a7970114' class='xr-var-data-in' type='checkbox'><label for='data-95c5b96f-3ced-4e3c-929e-7ba8a7970114' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-7b28905f-09a1-4adb-8d4b-6ebf60e049e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b28905f-09a1-4adb-8d4b-6ebf60e049e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ba6a25a-7eb0-4dff-9125-3df223dd201b' class='xr-var-data-in' type='checkbox'><label for='data-9ba6a25a-7eb0-4dff-9125-3df223dd201b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b56e658d-edaa-463e-a26c-8712e8822263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b56e658d-edaa-463e-a26c-8712e8822263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87b4b814-8891-45a4-b88b-d953b01d1881' class='xr-var-data-in' type='checkbox'><label for='data-87b4b814-8891-45a4-b88b-d953b01d1881' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3bf5f9f0-93a2-4142-89d2-ffd958fb75da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bf5f9f0-93a2-4142-89d2-ffd958fb75da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f2991a1-9d95-4336-b7b5-a2535d728b37' class='xr-var-data-in' type='checkbox'><label for='data-3f2991a1-9d95-4336-b7b5-a2535d728b37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CCSM4_r6i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6752581c-0a2e-4025-ab3e-7b889b4ec9ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6752581c-0a2e-4025-ab3e-7b889b4ec9ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfddd1b6-f930-48d2-9987-763f9cf07003' class='xr-var-data-in' type='checkbox'><label for='data-cfddd1b6-f930-48d2-9987-763f9cf07003' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8b86fadc-41af-47fa-9d0a-72feb5b187ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b86fadc-41af-47fa-9d0a-72feb5b187ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3514a2be-7642-4973-a5a8-c41b379f49e6' class='xr-var-data-in' type='checkbox'><label for='data-3514a2be-7642-4973-a5a8-c41b379f49e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MIROC-ESM-CHEM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ecb4b012-c287-41bd-a635-c568065be77e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecb4b012-c287-41bd-a635-c568065be77e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbb8025a-4f1c-4e95-85bd-c64668b10892' class='xr-var-data-in' type='checkbox'><label for='data-dbb8025a-4f1c-4e95-85bd-c64668b10892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MRI-CGCM3_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9dd4725c-acbf-4031-b3bc-533c3531da83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dd4725c-acbf-4031-b3bc-533c3531da83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55949b02-9466-42d5-866f-5b902c937021' class='xr-var-data-in' type='checkbox'><label for='data-55949b02-9466-42d5-866f-5b902c937021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_NorESM1-M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f70ab022-fa90-4caa-aaa2-819379333c2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f70ab022-fa90-4caa-aaa2-819379333c2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd0b227d-39b9-4e3a-9c1d-3a8acf7fbf7f' class='xr-var-data-in' type='checkbox'><label for='data-bd0b227d-39b9-4e3a-9c1d-3a8acf7fbf7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f462f20e-6974-44cf-9242-8faa65643e02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f462f20e-6974-44cf-9242-8faa65643e02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3025dbdd-69f7-4190-85b5-49b9b2bd58a1' class='xr-var-data-in' type='checkbox'><label for='data-3025dbdd-69f7-4190-85b5-49b9b2bd58a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CanESM2_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-42cc5163-55c4-4ee8-8bfd-5b886aeed899' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42cc5163-55c4-4ee8-8bfd-5b886aeed899' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98576d47-4b04-4394-b6f2-b16db5505de7' class='xr-var-data-in' type='checkbox'><label for='data-98576d47-4b04-4394-b6f2-b16db5505de7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6a57f5b8-8331-47b8-925c-503648228b98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a57f5b8-8331-47b8-925c-503648228b98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2feba02-ecdd-4f67-98e7-df8fae767174' class='xr-var-data-in' type='checkbox'><label for='data-c2feba02-ecdd-4f67-98e7-df8fae767174' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-5c758663-eccd-4f56-b5ee-919e3851e4b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c758663-eccd-4f56-b5ee-919e3851e4b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea2cda9d-eb4c-4114-a5bb-d9552770e156' class='xr-var-data-in' type='checkbox'><label for='data-ea2cda9d-eb4c-4114-a5bb-d9552770e156' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_inmcm4_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-dcdadf51-2c59-4cfd-a4e9-0d2581440ff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcdadf51-2c59-4cfd-a4e9-0d2581440ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ab44769-3ac5-4a62-8cf9-740f06a3253a' class='xr-var-data-in' type='checkbox'><label for='data-0ab44769-3ac5-4a62-8cf9-740f06a3253a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d3b01c1e-ee05-47bd-a157-b5f0103c859e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3b01c1e-ee05-47bd-a157-b5f0103c859e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78d222ce-f821-48ac-aaba-605b22da6a2b' class='xr-var-data-in' type='checkbox'><label for='data-78d222ce-f821-48ac-aaba-605b22da6a2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-CC365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-a1d9ce82-40f1-4a7e-85c4-e04e8fb1d5b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1d9ce82-40f1-4a7e-85c4-e04e8fb1d5b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85d84e00-1cf0-4327-8a84-bc46134f3f36' class='xr-var-data-in' type='checkbox'><label for='data-85d84e00-1cf0-4327-8a84-bc46134f3f36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3b88b28e-c5df-4ca5-8322-8ae44105ddd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b88b28e-c5df-4ca5-8322-8ae44105ddd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-474c0532-780e-4aa4-a0ae-4ae74e034c48' class='xr-var-data-in' type='checkbox'><label for='data-474c0532-780e-4aa4-a0ae-4ae74e034c48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-fac40a06-2225-4255-aeb5-284f0d893f7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fac40a06-2225-4255-aeb5-284f0d893f7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81267b18-850b-4638-91f3-dd9890f9d8d8' class='xr-var-data-in' type='checkbox'><label for='data-81267b18-850b-4638-91f3-dd9890f9d8d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CCSM4_r6i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f010c93e-cf03-48ab-a03e-da6a4b24ae2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f010c93e-cf03-48ab-a03e-da6a4b24ae2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e394c7a-c755-4839-acfa-e5990534854e' class='xr-var-data-in' type='checkbox'><label for='data-6e394c7a-c755-4839-acfa-e5990534854e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-be7bedfa-6d73-4799-af7b-6f13ca6e671b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be7bedfa-6d73-4799-af7b-6f13ca6e671b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa5fb84-31c3-44d7-8ba6-59eb0daf49c4' class='xr-var-data-in' type='checkbox'><label for='data-3fa5fb84-31c3-44d7-8ba6-59eb0daf49c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5B-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6cf0dcef-6af5-4f40-af65-4ec410796b5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cf0dcef-6af5-4f40-af65-4ec410796b5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70f0e7fe-c4ba-4280-81b2-9bbb7066cdb2' class='xr-var-data-in' type='checkbox'><label for='data-70f0e7fe-c4ba-4280-81b2-9bbb7066cdb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM-CHEM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d911b9ec-17bc-43c2-a003-11f2f2c9095d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d911b9ec-17bc-43c2-a003-11f2f2c9095d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b32b56ea-062b-4537-862f-43694725d158' class='xr-var-data-in' type='checkbox'><label for='data-b32b56ea-062b-4537-862f-43694725d158' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-42c893a7-5db6-4cab-8fb7-e00aa0821591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42c893a7-5db6-4cab-8fb7-e00aa0821591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-906cbc39-d73e-41e9-9f0f-81f236c58072' class='xr-var-data-in' type='checkbox'><label for='data-906cbc39-d73e-41e9-9f0f-81f236c58072' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-4610e1b9-31e7-48e9-aa05-9c8dd5cf0160' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4610e1b9-31e7-48e9-aa05-9c8dd5cf0160' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05880fe1-3fc7-4959-800e-bcd27e56ef24' class='xr-var-data-in' type='checkbox'><label for='data-05880fe1-3fc7-4959-800e-bcd27e56ef24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_inmcm4_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-eebfcab4-cc71-4d77-a2d9-1a2ad039bcef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eebfcab4-cc71-4d77-a2d9-1a2ad039bcef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4303c76-7fe8-4bab-a66b-fc1c91a3e79d' class='xr-var-data-in' type='checkbox'><label for='data-f4303c76-7fe8-4bab-a66b-fc1c91a3e79d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6248606 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-88f75ee9-5dc6-4e88-a1d9-6b69dff57836' class='xr-section-summary-in' type='checkbox'  ><label for='section-88f75ee9-5dc6-4e88-a1d9-6b69dff57836' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>crs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5b55186c-767b-465e-aaa8-99e6a4d2cc9b' class='xr-index-data-in' type='checkbox'/><label for='index-5b55186c-767b-465e-aaa8-99e6a4d2cc9b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int32&#x27;, name=&#x27;crs&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3af26527-7895-40b6-acf1-d002d1cd36af' class='xr-index-data-in' type='checkbox'/><label for='index-3af26527-7895-40b6-acf1-d002d1cd36af' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([25.063077926635742,  25.10474395751953,  25.14640998840332,\n",
+       "        25.18807601928711,   25.2297420501709, 25.271408081054688,\n",
+       "       25.313074111938477, 25.354740142822266, 25.396406173706055,\n",
+       "       25.438072204589844,\n",
+       "       ...\n",
+       "        49.02103042602539,  49.06269454956055,  49.10436248779297,\n",
+       "       49.146026611328125,  49.18769454956055,   49.2293586730957,\n",
+       "       49.271026611328125,  49.31269073486328,   49.3543586730957,\n",
+       "        49.39602279663086],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=585))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4eaa498e-c478-480e-902c-59bfc254bea3' class='xr-index-data-in' type='checkbox'/><label for='index-4eaa498e-c478-480e-902c-59bfc254bea3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([235.22784423828125, 235.26950073242188,  235.3111572265625,\n",
+       "       235.35284423828125, 235.39450073242188,  235.4361572265625,\n",
+       "        235.4778289794922, 235.51950073242188,  235.5611572265625,\n",
+       "        235.6028289794922,\n",
+       "       ...\n",
+       "       292.56024169921875,  292.6019287109375,  292.6435852050781,\n",
+       "       292.68524169921875,  292.7269287109375,  292.7685852050781,\n",
+       "       292.81024169921875,  292.8519287109375,  292.8935852050781,\n",
+       "       292.93524169921875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1386))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-26cf9571-9785-4bde-89dc-95d102f8b7d7' class='xr-index-data-in' type='checkbox'/><label for='index-26cf9571-9785-4bde-89dc-95d102f8b7d7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2006-01-01&#x27;, &#x27;2006-01-02&#x27;, &#x27;2006-01-03&#x27;, &#x27;2006-01-04&#x27;,\n",
+       "               &#x27;2006-01-05&#x27;, &#x27;2006-01-06&#x27;, &#x27;2006-01-07&#x27;, &#x27;2006-01-08&#x27;,\n",
+       "               &#x27;2006-01-09&#x27;, &#x27;2006-01-10&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2099-12-22&#x27;, &#x27;2099-12-23&#x27;, &#x27;2099-12-24&#x27;, &#x27;2099-12-25&#x27;,\n",
+       "               &#x27;2099-12-26&#x27;, &#x27;2099-12-27&#x27;, &#x27;2099-12-28&#x27;, &#x27;2099-12-29&#x27;,\n",
+       "               &#x27;2099-12-30&#x27;, &#x27;2099-12-31&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=34333, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa6086e6-143f-4f2a-a9b4-ecc23dc1519f' class='xr-section-summary-in' type='checkbox'  ><label for='section-aa6086e6-143f-4f2a-a9b4-ecc23dc1519f' class='xr-section-summary' >Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Multivariate Adaptive Constructed Analogs (MACA) method, version 2.3,Dec 2013.</dd><dt><span>id :</span></dt><dd>MACAv2-METDATA</dd><dt><span>naming_authority :</span></dt><dd>edu.uidaho.reacch</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Metadata_Link :</span></dt><dd></dd><dt><span>cdm_data_type :</span></dt><dd>GRID</dd><dt><span>title :</span></dt><dd>Downscaled daily meteorological data of Precipitation from College of Global Change and Earth System Science, Beijing Normal University (BNU-ESM) using the run r1i1p1 of the rcp45 scenario.</dd><dt><span>summary :</span></dt><dd>This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin)precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modellers.</dd><dt><span>keywords :</span></dt><dd>daily precipitation, daily maximum temperature, daily minimum temperature, daily downward shortwave solar radiation, daily specific humidity, daily wind velocity, CMIP5, Gridded Meteorological Data</dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>No revisions.</dd><dt><span>comment :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-124.7722 25.0631,-124.7722 49.3960, -67.0648 49.3960,-67.0648, 25.0631, -124.7722,25.0631))</dd><dt><span>geospatial_lat_min :</span></dt><dd>25.0631</dd><dt><span>geospatial_lat_max :</span></dt><dd>49.3960</dd><dt><span>geospatial_lon_min :</span></dt><dd>-124.7722</dd><dt><span>geospatial_lon_max :</span></dt><dd>-67.0648</dd><dt><span>geospatial_lat_units :</span></dt><dd>decimal degrees north</dd><dt><span>geospatial_lon_units :</span></dt><dd>decimal degrees east</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>time_coverage_start :</span></dt><dd>2006-01-01T00:0</dd><dt><span>time_coverage_end :</span></dt><dd>2010-12-31T00:00</dd><dt><span>time_coverage_duration :</span></dt><dd>P5Y</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>date_created :</span></dt><dd>2014-05-15</dd><dt><span>date_modified :</span></dt><dd>2014-05-15</dd><dt><span>date_issued :</span></dt><dd>2014-05-15</dd><dt><span>creator_name :</span></dt><dd>John Abatzoglou</dd><dt><span>creator_url :</span></dt><dd>http://maca.northwestknowledge.net</dd><dt><span>creator_email :</span></dt><dd>jabatzoglou@uidaho.edu</dd><dt><span>institution :</span></dt><dd>University of Idaho</dd><dt><span>processing_level :</span></dt><dd>GRID</dd><dt><span>project :</span></dt><dd></dd><dt><span>contributor_name :</span></dt><dd>Katherine C. Hegewisch</dd><dt><span>contributor_role :</span></dt><dd>Postdoctoral Fellow</dd><dt><span>publisher_name :</span></dt><dd></dd><dt><span>publisher_email :</span></dt><dd></dd><dt><span>publisher_url :</span></dt><dd></dd><dt><span>license :</span></dt><dd>Creative Commons CC0 1.0 Universal Dedication(http://creativecommons.org/publicdomain/zero/1.0/legalcode)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                             (crs: 1, lat: 585, lon: 1386,\n",
+       "                                         time: 34333)\n",
+       "Coordinates:\n",
+       "  * crs                                 (crs) int32 1\n",
+       "  * lat                                 (lat) float64 25.06 25.1 ... 49.35 49.4\n",
+       "  * lon                                 (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                (time) datetime64[ns] 2006-01-01 ... ...\n",
+       "Data variables: (12/46)\n",
+       "    huss_CCSM4_r6i1p1_rcp85             (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_CSIRO-Mk3-6-0_r1i1p1_rcp45     (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_GFDL-ESM2M_r1i1p1_rcp85        (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_HadGEM2-ES365_r1i1p1_rcp85     (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_IPSL-CM5A-LR_r1i1p1_rcp85      (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_IPSL-CM5B-LR_r1i1p1_rcp45      (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    ...                                  ...\n",
+       "    vas_CNRM-CM5_r1i1p1_rcp85           (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_IPSL-CM5B-LR_r1i1p1_rcp45       (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_MIROC-ESM-CHEM_r1i1p1_rcp85     (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_MIROC-ESM_r1i1p1_rcp45          (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_NorESM1-M_r1i1p1_rcp85          (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_inmcm4_r1i1p1_rcp45             (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "Attributes: (12/45)\n",
+       "    description:                     Multivariate Adaptive Constructed Analog...\n",
+       "    id:                              MACAv2-METDATA\n",
+       "    naming_authority:                edu.uidaho.reacch\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    ...                              ...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    publisher_name:                  \n",
+       "    publisher_email:                 \n",
+       "    publisher_url:                   \n",
+       "    license:                         Creative Commons CC0 1.0 Universal Dedic..."
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_test = xr.open_mfdataset(worklist[:46], chunks={})\n",
+    "ds_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'zlib': True,\n",
+       " 'szip': False,\n",
+       " 'zstd': False,\n",
+       " 'bzip2': False,\n",
+       " 'blosc': False,\n",
+       " 'shuffle': False,\n",
+       " 'complevel': 1,\n",
+       " 'fletcher32': False,\n",
+       " 'contiguous': False,\n",
+       " 'chunksizes': (1, 44, 107),\n",
+       " 'preferred_chunks': {'time': 1, 'lat': 44, 'lon': 107},\n",
+       " 'source': '/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/macav2_future_daily.ncmlhuss_CCSM4_r6i1p1_rcp85.nc',\n",
+       " 'original_shape': (34333, 585, 1386),\n",
+       " 'dtype': dtype('int16'),\n",
+       " 'missing_value': -9999,\n",
+       " '_FillValue': -9999,\n",
+       " 'scale_factor': 1e-05,\n",
+       " 'coordinates': 'time lon lat'}"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_test['huss_CCSM4_r6i1p1_rcp85'].encoding"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Establish the chunking plan\n",
+    "I ran Parker N. chunk_shape_3D notebook and after discussing with Dave B. using a total chunk size of 50 Mb for this dataset, the determined chunk plan is below.\n",
+    "\n",
+    "```\n",
+    "Ideal number of values in a chunk = 13107200.0\n",
+    "Ideal number of chunks = 2123.8\n",
+    "Ideal number of chunks along each 2D axis = 6.8\n",
+    "\n",
+    "--- Candidates ---\n",
+    "[744, 86, 204]: Total size per chunk (MB): 49.8 (ratio: 0.996)\n",
+    "[744, 86, 205]: Total size per chunk (MB): 50.0 (ratio: 1.001)\n",
+    "[744, 87, 204]: Total size per chunk (MB): 50.4 (ratio: 1.007)\n",
+    "[744, 87, 205]: Total size per chunk (MB): 50.6 (ratio: 1.012)\n",
+    "[745, 86, 204]: Total size per chunk (MB): 49.9 (ratio: 0.997)\n",
+    "[745, 86, 205]: Total size per chunk (MB): 50.1 (ratio: 1.002)\n",
+    "[745, 87, 204]: Total size per chunk (MB): 50.4 (ratio: 1.009)\n",
+    "[745, 87, 205]: Total size per chunk (MB): 50.7 (ratio: 1.014)\n",
+    "\n",
+    "Chunk sizes: [745, 86, 204]\n",
+    "  Number of values: 13070280\n",
+    "  Size: 49.86 MB\n",
+    "  Efficiency ratio: 0.997\n",
+    "\n",
+    "--------------- Access type information ---------------\n",
+    "  Time-series: Number of chunks: 47; Data read: 2343.4 MB\n",
+    "Spatial slice: Number of chunks: 49; Data read: 2443.1 MB\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chunk_plan={\n",
+    "        'time': 745, \n",
+    "        'lat': 86,\n",
+    "        'lon': 204\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Loop\n",
+    "For each `.nc` in the worklist, re-write it as a zarr using the above chunk plan."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Finished: rhsmax_IPSL-CM5A-MR_r1i1p1_rcp45_monthly.zarr 1/351 processed.\n",
+      "Finished: tasmin_CanESM2_r1i1p1_rcp45_monthly.zarr 2/351 processed.\n",
+      "Finished: rhsmax_IPSL-CM5A-LR_r1i1p1_rcp85_monthly.zarr 3/351 processed.\n",
+      "Finished: rhsmin_MRI-CGCM3_r1i1p1_rcp85_monthly.zarr 4/351 processed.\n",
+      "Finished: vas_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 5/351 processed.\n",
+      "Finished: rhsmax_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 6/351 processed.\n",
+      "Finished: tasmin_IPSL-CM5A-MR_r1i1p1_rcp45_monthly.zarr 7/351 processed.\n",
+      "Finished: tasmax_MRI-CGCM3_r1i1p1_rcp85_monthly.zarr 8/351 processed.\n",
+      "Finished: rsds_GFDL-ESM2G_r1i1p1_rcp85_monthly.zarr 9/351 processed.\n",
+      "Finished: huss_MIROC-ESM-CHEM_r1i1p1_rcp45_monthly.zarr 10/351 processed.\n",
+      "Finished: huss_IPSL-CM5A-LR_r1i1p1_rcp85_monthly.zarr 11/351 processed.\n",
+      "Finished: rhsmin_BNU-ESM_r1i1p1_rcp85_monthly.zarr 12/351 processed.\n",
+      "Finished: rhsmax_IPSL-CM5A-LR_r1i1p1_rcp45_monthly.zarr 13/351 processed.\n",
+      "Finished: uas_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 14/351 processed.\n",
+      "Finished: rsds_GFDL-ESM2M_r1i1p1_rcp45_monthly.zarr 15/351 processed.\n",
+      "Finished: rsds_NorESM1-M_r1i1p1_rcp85_monthly.zarr 16/351 processed.\n",
+      "Finished: rhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp45_monthly.zarr 17/351 processed.\n",
+      "Finished: pr_HadGEM2-CC365_r1i1p1_rcp45_monthly.zarr 18/351 processed.\n",
+      "Finished: vas_inmcm4_r1i1p1_rcp45_monthly.zarr 19/351 processed.\n",
+      "Finished: tasmax_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 20/351 processed.\n",
+      "Finished: rsds_inmcm4_r1i1p1_rcp85_monthly.zarr 21/351 processed.\n",
+      "Finished: tasmax_NorESM1-M_r1i1p1_rcp45_monthly.zarr 22/351 processed.\n",
+      "Finished: vas_CCSM4_r6i1p1_rcp45_monthly.zarr 23/351 processed.\n",
+      "Finished: huss_bcc-csm1-1_r1i1p1_rcp85_monthly.zarr 24/351 processed.\n",
+      "Finished: huss_MIROC-ESM-CHEM_r1i1p1_rcp85_monthly.zarr 25/351 processed.\n",
+      "Finished: tasmax_NorESM1-M_r1i1p1_rcp85_monthly.zarr 26/351 processed.\n",
+      "Finished: vas_NorESM1-M_r1i1p1_rcp85_monthly.zarr 27/351 processed.\n",
+      "Finished: rhsmin_HadGEM2-ES365_r1i1p1_rcp45_monthly.zarr 28/351 processed.\n",
+      "Finished: vas_IPSL-CM5B-LR_r1i1p1_rcp45_monthly.zarr 29/351 processed.\n",
+      "Finished: tasmax_MIROC-ESM-CHEM_r1i1p1_rcp45_monthly.zarr 30/351 processed.\n",
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+      "Finished: pr_CCSM4_r6i1p1_rcp85_monthly.zarr 145/351 processed.\n",
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+      "Finished: uas_IPSL-CM5B-LR_r1i1p1_rcp45_monthly.zarr 147/351 processed.\n",
+      "Finished: tasmax_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr 148/351 processed.\n",
+      "Finished: huss_IPSL-CM5B-LR_r1i1p1_rcp85_monthly.zarr 149/351 processed.\n",
+      "Finished: rhsmax_GFDL-ESM2G_r1i1p1_rcp45_monthly.zarr 150/351 processed.\n",
+      "Finished: huss_NorESM1-M_r1i1p1_rcp85_monthly.zarr 151/351 processed.\n",
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+      "Finished: pr_inmcm4_r1i1p1_rcp45_monthly.zarr 153/351 processed.\n",
+      "Finished: pr_MIROC5_r1i1p1_rcp85_monthly.zarr 154/351 processed.\n",
+      "Finished: rsds_IPSL-CM5B-LR_r1i1p1_rcp45_monthly.zarr 155/351 processed.\n",
+      "Finished: vas_BNU-ESM_r1i1p1_rcp45_monthly.zarr 156/351 processed.\n",
+      "Finished: tasmin_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 157/351 processed.\n",
+      "Finished: tasmin_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 158/351 processed.\n",
+      "Finished: rhsmin_CanESM2_r1i1p1_rcp45_monthly.zarr 159/351 processed.\n",
+      "Finished: pr_CanESM2_r1i1p1_rcp85_monthly.zarr 160/351 processed.\n",
+      "Finished: vas_MRI-CGCM3_r1i1p1_rcp85_monthly.zarr 161/351 processed.\n",
+      "Finished: huss_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr 162/351 processed.\n",
+      "Finished: tasmin_CSIRO-Mk3-6-0_r1i1p1_rcp45_monthly.zarr 163/351 processed.\n",
+      "Finished: pr_bcc-csm1-1-m_r1i1p1_rcp85_monthly.zarr 164/351 processed.\n",
+      "Finished: tasmin_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr 165/351 processed.\n",
+      "Finished: huss_HadGEM2-CC365_r1i1p1_rcp85_monthly.zarr 166/351 processed.\n",
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+      "Finished: tasmin_bcc-csm1-1-m_r1i1p1_rcp85_monthly.zarr 168/351 processed.\n",
+      "Finished: tasmin_GFDL-ESM2G_r1i1p1_rcp85_monthly.zarr 169/351 processed.\n",
+      "Finished: tasmax_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 170/351 processed.\n",
+      "Finished: tasmax_MIROC5_r1i1p1_rcp45_monthly.zarr 171/351 processed.\n",
+      "Finished: uas_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 172/351 processed.\n",
+      "Finished: rhsmin_BNU-ESM_r1i1p1_rcp45_monthly.zarr 173/351 processed.\n",
+      "Finished: tasmax_HadGEM2-CC365_r1i1p1_rcp45_monthly.zarr 174/351 processed.\n",
+      "Finished: rhsmin_IPSL-CM5A-LR_r1i1p1_rcp45_monthly.zarr 175/351 processed.\n",
+      "Finished: rsds_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 176/351 processed.\n",
+      "Finished: huss_inmcm4_r1i1p1_rcp85_monthly.zarr 177/351 processed.\n",
+      "Finished: pr_IPSL-CM5A-LR_r1i1p1_rcp45_monthly.zarr 178/351 processed.\n",
+      "Finished: rsds_MIROC-ESM_r1i1p1_rcp85_monthly.zarr 179/351 processed.\n",
+      "Finished: vas_CSIRO-Mk3-6-0_r1i1p1_rcp85_monthly.zarr 180/351 processed.\n",
+      "Finished: vas_CNRM-CM5_r1i1p1_rcp45_monthly.zarr 181/351 processed.\n",
+      "Finished: vas_GFDL-ESM2G_r1i1p1_rcp85_monthly.zarr 182/351 processed.\n",
+      "Finished: vas_HadGEM2-CC365_r1i1p1_rcp85_monthly.zarr 183/351 processed.\n",
+      "Finished: tasmax_HadGEM2-ES365_r1i1p1_rcp85_monthly.zarr 184/351 processed.\n",
+      "Finished: huss_BNU-ESM_r1i1p1_rcp85_monthly.zarr 185/351 processed.\n",
+      "Finished: rhsmin_GFDL-ESM2M_r1i1p1_rcp45_monthly.zarr 186/351 processed.\n",
+      "Finished: tasmin_HadGEM2-ES365_r1i1p1_rcp45_monthly.zarr 187/351 processed.\n",
+      "Finished: uas_CanESM2_r1i1p1_rcp85_monthly.zarr 188/351 processed.\n",
+      "Finished: tasmin_BNU-ESM_r1i1p1_rcp45_monthly.zarr 189/351 processed.\n",
+      "Finished: tasmin_inmcm4_r1i1p1_rcp85_monthly.zarr 190/351 processed.\n",
+      "Finished: rhsmin_HadGEM2-CC365_r1i1p1_rcp85_monthly.zarr 191/351 processed.\n",
+      "Finished: vas_MIROC5_r1i1p1_rcp85_monthly.zarr 192/351 processed.\n",
+      "Finished: tasmax_IPSL-CM5B-LR_r1i1p1_rcp45_monthly.zarr 193/351 processed.\n",
+      "Finished: huss_MRI-CGCM3_r1i1p1_rcp45_monthly.zarr 194/351 processed.\n",
+      "Finished: vas_HadGEM2-CC365_r1i1p1_rcp45_monthly.zarr 195/351 processed.\n",
+      "Finished: vas_IPSL-CM5A-LR_r1i1p1_rcp45_monthly.zarr 196/351 processed.\n",
+      "Finished: vas_BNU-ESM_r1i1p1_rcp85_monthly.zarr 197/351 processed.\n",
+      "Finished: rhsmax_CNRM-CM5_r1i1p1_rcp45_monthly.zarr 198/351 processed.\n",
+      "Finished: tasmax_BNU-ESM_r1i1p1_rcp45_monthly.zarr 199/351 processed.\n",
+      "Finished: tasmin_MIROC5_r1i1p1_rcp85_monthly.zarr 200/351 processed.\n",
+      "Finished: rhsmin_CanESM2_r1i1p1_rcp85_monthly.zarr 201/351 processed.\n",
+      "Finished: huss_HadGEM2-ES365_r1i1p1_rcp45_monthly.zarr 202/351 processed.\n",
+      "Finished: rhsmin_MIROC5_r1i1p1_rcp45_monthly.zarr 203/351 processed.\n",
+      "Finished: uas_MIROC-ESM-CHEM_r1i1p1_rcp45_monthly.zarr 204/351 processed.\n",
+      "Finished: pr_IPSL-CM5B-LR_r1i1p1_rcp45_monthly.zarr 205/351 processed.\n",
+      "Finished: rhsmin_MIROC-ESM_r1i1p1_rcp45_monthly.zarr 206/351 processed.\n",
+      "Finished: vas_bcc-csm1-1-m_r1i1p1_rcp85_monthly.zarr 207/351 processed.\n",
+      "Finished: huss_CanESM2_r1i1p1_rcp45_monthly.zarr 208/351 processed.\n",
+      "Finished: rsds_HadGEM2-CC365_r1i1p1_rcp45_monthly.zarr 209/351 processed.\n",
+      "Finished: uas_bcc-csm1-1_r1i1p1_rcp45_monthly.zarr 210/351 processed.\n",
+      "Finished: rhsmin_IPSL-CM5B-LR_r1i1p1_rcp85_monthly.zarr 211/351 processed.\n",
+      "Finished: rsds_IPSL-CM5A-LR_r1i1p1_rcp45_monthly.zarr 212/351 processed.\n",
+      "Finished: rhsmin_inmcm4_r1i1p1_rcp45_monthly.zarr 213/351 processed.\n",
+      "Finished: pr_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr 214/351 processed.\n",
+      "Finished: vas_GFDL-ESM2M_r1i1p1_rcp45_monthly.zarr 215/351 processed.\n",
+      "Finished: pr_MIROC-ESM-CHEM_r1i1p1_rcp45_monthly.zarr 216/351 processed.\n",
+      "Finished: tasmax_CSIRO-Mk3-6-0_r1i1p1_rcp45_monthly.zarr 217/351 processed.\n",
+      "Finished: vas_IPSL-CM5B-LR_r1i1p1_rcp85_monthly.zarr 218/351 processed.\n",
+      "Finished: vas_bcc-csm1-1_r1i1p1_rcp85_monthly.zarr 219/351 processed.\n",
+      "Finished: tasmin_CCSM4_r6i1p1_rcp85_monthly.zarr 220/351 processed.\n",
+      "Finished: pr_MRI-CGCM3_r1i1p1_rcp45_monthly.zarr 221/351 processed.\n",
+      "Finished: rhsmax_CanESM2_r1i1p1_rcp45_monthly.zarr 222/351 processed.\n",
+      "Finished: pr_CNRM-CM5_r1i1p1_rcp45_monthly.zarr 223/351 processed.\n",
+      "Finished: rhsmax_HadGEM2-ES365_r1i1p1_rcp85_monthly.zarr 224/351 processed.\n",
+      "Finished: vas_CSIRO-Mk3-6-0_r1i1p1_rcp45_monthly.zarr 225/351 processed.\n",
+      "Finished: rhsmax_inmcm4_r1i1p1_rcp45_monthly.zarr 226/351 processed.\n",
+      "Finished: uas_CSIRO-Mk3-6-0_r1i1p1_rcp85_monthly.zarr 227/351 processed.\n",
+      "Finished: uas_inmcm4_r1i1p1_rcp45_monthly.zarr 228/351 processed.\n",
+      "Finished: rhsmax_CanESM2_r1i1p1_rcp85_monthly.zarr 229/351 processed.\n",
+      "Finished: rsds_HadGEM2-ES365_r1i1p1_rcp85_monthly.zarr 230/351 processed.\n",
+      "Finished: huss_NorESM1-M_r1i1p1_rcp45_monthly.zarr 231/351 processed.\n",
+      "Finished: uas_MRI-CGCM3_r1i1p1_rcp45_monthly.zarr 232/351 processed.\n",
+      "Finished: rsds_CanESM2_r1i1p1_rcp45_monthly.zarr 233/351 processed.\n",
+      "Finished: uas_IPSL-CM5A-LR_r1i1p1_rcp45_monthly.zarr 234/351 processed.\n",
+      "Finished: uas_IPSL-CM5A-MR_r1i1p1_rcp45_monthly.zarr 235/351 processed.\n",
+      "Finished: huss_CCSM4_r6i1p1_rcp45_monthly.zarr 236/351 processed.\n",
+      "Finished: uas_CanESM2_r1i1p1_rcp45_monthly.zarr 237/351 processed.\n",
+      "Finished: rhsmax_BNU-ESM_r1i1p1_rcp45_monthly.zarr 238/351 processed.\n",
+      "Finished: tasmin_IPSL-CM5A-LR_r1i1p1_rcp45_monthly.zarr 239/351 processed.\n",
+      "Finished: pr_GFDL-ESM2M_r1i1p1_rcp45_monthly.zarr 240/351 processed.\n",
+      "Finished: pr_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 241/351 processed.\n",
+      "Finished: tasmin_CanESM2_r1i1p1_rcp85_monthly.zarr 242/351 processed.\n",
+      "Finished: pr_MRI-CGCM3_r1i1p1_rcp85_monthly.zarr 243/351 processed.\n",
+      "Finished: vas_GFDL-ESM2G_r1i1p1_rcp45_monthly.zarr 244/351 processed.\n",
+      "Finished: rsds_bcc-csm1-1_r1i1p1_rcp85_monthly.zarr 245/351 processed.\n",
+      "Finished: uas_NorESM1-M_r1i1p1_rcp85_monthly.zarr 246/351 processed.\n",
+      "Finished: tasmin_BNU-ESM_r1i1p1_rcp85_monthly.zarr 247/351 processed.\n",
+      "Finished: rhsmax_HadGEM2-CC365_r1i1p1_rcp45_monthly.zarr 248/351 processed.\n",
+      "Finished: rhsmax_bcc-csm1-1_r1i1p1_rcp85_monthly.zarr 249/351 processed.\n",
+      "Finished: rhsmax_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 250/351 processed.\n",
+      "Finished: rhsmax_MIROC-ESM_r1i1p1_rcp45_monthly.zarr 251/351 processed.\n",
+      "Finished: rsds_MIROC-ESM-CHEM_r1i1p1_rcp45_monthly.zarr 252/351 processed.\n",
+      "Finished: rsds_bcc-csm1-1_r1i1p1_rcp45_monthly.zarr 253/351 processed.\n",
+      "Finished: uas_bcc-csm1-1_r1i1p1_rcp85_monthly.zarr 254/351 processed.\n",
+      "Finished: rhsmax_MIROC-ESM_r1i1p1_rcp85_monthly.zarr 255/351 processed.\n",
+      "Finished: rhsmin_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 256/351 processed.\n",
+      "Finished: vas_CanESM2_r1i1p1_rcp45_monthly.zarr 257/351 processed.\n",
+      "Finished: pr_GFDL-ESM2G_r1i1p1_rcp85_monthly.zarr 258/351 processed.\n",
+      "Finished: uas_CCSM4_r6i1p1_rcp45_monthly.zarr 259/351 processed.\n",
+      "Finished: pr_HadGEM2-CC365_r1i1p1_rcp85_monthly.zarr 260/351 processed.\n",
+      "Finished: uas_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr 261/351 processed.\n",
+      "Finished: tasmax_IPSL-CM5A-MR_r1i1p1_rcp85_monthly.zarr 262/351 processed.\n",
+      "Finished: rhsmin_IPSL-CM5B-LR_r1i1p1_rcp45_monthly.zarr 263/351 processed.\n",
+      "Finished: uas_GFDL-ESM2G_r1i1p1_rcp45_monthly.zarr 264/351 processed.\n",
+      "Finished: pr_IPSL-CM5B-LR_r1i1p1_rcp85_monthly.zarr 265/351 processed.\n",
+      "Finished: tasmin_HadGEM2-CC365_r1i1p1_rcp85_monthly.zarr 266/351 processed.\n",
+      "Finished: pr_IPSL-CM5A-LR_r1i1p1_rcp85_monthly.zarr 267/351 processed.\n",
+      "Finished: rhsmin_MIROC5_r1i1p1_rcp85_monthly.zarr 268/351 processed.\n",
+      "Finished: rsds_BNU-ESM_r1i1p1_rcp45_monthly.zarr 269/351 processed.\n",
+      "Finished: huss_CanESM2_r1i1p1_rcp85_monthly.zarr 270/351 processed.\n",
+      "Finished: pr_BNU-ESM_r1i1p1_rcp45_monthly.zarr 271/351 processed.\n",
+      "Finished: tasmax_GFDL-ESM2G_r1i1p1_rcp45_monthly.zarr 272/351 processed.\n",
+      "Finished: rhsmin_CNRM-CM5_r1i1p1_rcp45_monthly.zarr 273/351 processed.\n",
+      "Finished: rhsmax_bcc-csm1-1-m_r1i1p1_rcp85_monthly.zarr 274/351 processed.\n",
+      "Finished: uas_bcc-csm1-1-m_r1i1p1_rcp85_monthly.zarr 275/351 processed.\n",
+      "Finished: huss_MIROC5_r1i1p1_rcp45_monthly.zarr 276/351 processed.\n",
+      "Finished: tasmin_MRI-CGCM3_r1i1p1_rcp85_monthly.zarr 277/351 processed.\n",
+      "Finished: rsds_IPSL-CM5A-LR_r1i1p1_rcp85_monthly.zarr 278/351 processed.\n",
+      "Finished: pr_BNU-ESM_r1i1p1_rcp85_monthly.zarr 279/351 processed.\n",
+      "Finished: huss_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 280/351 processed.\n",
+      "Finished: uas_MIROC5_r1i1p1_rcp45_monthly.zarr 281/351 processed.\n",
+      "Finished: rsds_MIROC5_r1i1p1_rcp45_monthly.zarr 282/351 processed.\n",
+      "Finished: tasmax_MRI-CGCM3_r1i1p1_rcp45_monthly.zarr 283/351 processed.\n",
+      "Finished: huss_MIROC-ESM_r1i1p1_rcp85_monthly.zarr 284/351 processed.\n",
+      "Finished: tasmax_BNU-ESM_r1i1p1_rcp85_monthly.zarr 285/351 processed.\n",
+      "Finished: vas_MIROC5_r1i1p1_rcp45_monthly.zarr 286/351 processed.\n",
+      "Finished: tasmin_GFDL-ESM2M_r1i1p1_rcp45_monthly.zarr 287/351 processed.\n",
+      "Finished: tasmin_GFDL-ESM2G_r1i1p1_rcp45_monthly.zarr 288/351 processed.\n",
+      "Finished: huss_IPSL-CM5A-MR_r1i1p1_rcp85_monthly.zarr 289/351 processed.\n",
+      "Finished: vas_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 290/351 processed.\n",
+      "Finished: vas_IPSL-CM5A-MR_r1i1p1_rcp45_monthly.zarr 291/351 processed.\n",
+      "Finished: huss_GFDL-ESM2M_r1i1p1_rcp45_monthly.zarr 292/351 processed.\n",
+      "Finished: tasmax_bcc-csm1-1_r1i1p1_rcp85_monthly.zarr 293/351 processed.\n",
+      "Finished: tasmin_MIROC-ESM-CHEM_r1i1p1_rcp45_monthly.zarr 294/351 processed.\n",
+      "Finished: tasmin_bcc-csm1-1_r1i1p1_rcp45_monthly.zarr 295/351 processed.\n",
+      "Finished: uas_MIROC-ESM-CHEM_r1i1p1_rcp85_monthly.zarr 296/351 processed.\n",
+      "Finished: rsds_MIROC-ESM-CHEM_r1i1p1_rcp85_monthly.zarr 297/351 processed.\n",
+      "Finished: uas_CNRM-CM5_r1i1p1_rcp45_monthly.zarr 298/351 processed.\n",
+      "Finished: rsds_CCSM4_r6i1p1_rcp45_monthly.zarr 299/351 processed.\n",
+      "Finished: vas_CanESM2_r1i1p1_rcp85_monthly.zarr 300/351 processed.\n",
+      "Finished: huss_CNRM-CM5_r1i1p1_rcp45_monthly.zarr 301/351 processed.\n",
+      "Finished: rhsmax_MIROC-ESM-CHEM_r1i1p1_rcp85_monthly.zarr 302/351 processed.\n",
+      "Finished: tasmax_CSIRO-Mk3-6-0_r1i1p1_rcp85_monthly.zarr 303/351 processed.\n",
+      "Finished: uas_GFDL-ESM2G_r1i1p1_rcp85_monthly.zarr 304/351 processed.\n",
+      "Finished: rhsmax_MIROC5_r1i1p1_rcp45_monthly.zarr 305/351 processed.\n",
+      "Finished: rhsmin_inmcm4_r1i1p1_rcp85_monthly.zarr 306/351 processed.\n",
+      "Finished: rhsmin_bcc-csm1-1-m_r1i1p1_rcp85_monthly.zarr 307/351 processed.\n",
+      "Finished: rsds_CanESM2_r1i1p1_rcp85_monthly.zarr 308/351 processed.\n",
+      "Finished: pr_IPSL-CM5A-MR_r1i1p1_rcp85_monthly.zarr 309/351 processed.\n",
+      "Finished: tasmin_IPSL-CM5A-MR_r1i1p1_rcp85_monthly.zarr 310/351 processed.\n",
+      "Finished: tasmin_IPSL-CM5B-LR_r1i1p1_rcp45_monthly.zarr 311/351 processed.\n",
+      "Finished: rsds_GFDL-ESM2G_r1i1p1_rcp45_monthly.zarr 312/351 processed.\n",
+      "Finished: rsds_IPSL-CM5A-MR_r1i1p1_rcp45_monthly.zarr 313/351 processed.\n",
+      "Finished: rhsmax_BNU-ESM_r1i1p1_rcp85_monthly.zarr 314/351 processed.\n",
+      "Finished: rhsmin_IPSL-CM5A-LR_r1i1p1_rcp85_monthly.zarr 315/351 processed.\n",
+      "Finished: huss_IPSL-CM5A-MR_r1i1p1_rcp45_monthly.zarr 316/351 processed.\n",
+      "Finished: huss_CSIRO-Mk3-6-0_r1i1p1_rcp85_monthly.zarr 317/351 processed.\n",
+      "Finished: vas_bcc-csm1-1_r1i1p1_rcp45_monthly.zarr 318/351 processed.\n",
+      "Finished: vas_NorESM1-M_r1i1p1_rcp45_monthly.zarr 319/351 processed.\n",
+      "Finished: tasmin_MIROC5_r1i1p1_rcp45_monthly.zarr 320/351 processed.\n",
+      "Finished: tasmax_MIROC-ESM_r1i1p1_rcp45_monthly.zarr 321/351 processed.\n",
+      "Finished: uas_NorESM1-M_r1i1p1_rcp45_monthly.zarr 322/351 processed.\n",
+      "Finished: tasmax_HadGEM2-CC365_r1i1p1_rcp85_monthly.zarr 323/351 processed.\n",
+      "Finished: tasmin_CNRM-CM5_r1i1p1_rcp45_monthly.zarr 324/351 processed.\n",
+      "Finished: pr_HadGEM2-ES365_r1i1p1_rcp85_monthly.zarr 325/351 processed.\n",
+      "Finished: rsds_CNRM-CM5_r1i1p1_rcp85_monthly.zarr 326/351 processed.\n",
+      "Finished: rsds_MRI-CGCM3_r1i1p1_rcp45_monthly.zarr 327/351 processed.\n",
+      "Finished: rhsmax_GFDL-ESM2G_r1i1p1_rcp85_monthly.zarr 328/351 processed.\n",
+      "Finished: rsds_IPSL-CM5A-MR_r1i1p1_rcp85_monthly.zarr 329/351 processed.\n",
+      "Finished: tasmax_CanESM2_r1i1p1_rcp85_monthly.zarr 330/351 processed.\n",
+      "Finished: rsds_BNU-ESM_r1i1p1_rcp85_monthly.zarr 331/351 processed.\n",
+      "Finished: tasmin_CSIRO-Mk3-6-0_r1i1p1_rcp85_monthly.zarr 332/351 processed.\n",
+      "Finished: rsds_CCSM4_r6i1p1_rcp85_monthly.zarr 333/351 processed.\n",
+      "Finished: tasmin_NorESM1-M_r1i1p1_rcp85_monthly.zarr 334/351 processed.\n",
+      "Finished: tasmax_bcc-csm1-1-m_r1i1p1_rcp85_monthly.zarr 335/351 processed.\n",
+      "Finished: pr_MIROC-ESM_r1i1p1_rcp85_monthly.zarr 336/351 processed.\n",
+      "Finished: huss_bcc-csm1-1_r1i1p1_rcp45_monthly.zarr 337/351 processed.\n",
+      "Finished: rsds_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr 338/351 processed.\n",
+      "Finished: pr_MIROC5_r1i1p1_rcp45_monthly.zarr 339/351 processed.\n",
+      "Finished: tasmax_IPSL-CM5B-LR_r1i1p1_rcp85_monthly.zarr 340/351 processed.\n",
+      "Finished: pr_GFDL-ESM2M_r1i1p1_rcp85_monthly.zarr 341/351 processed.\n",
+      "Finished: uas_BNU-ESM_r1i1p1_rcp45_monthly.zarr 342/351 processed.\n",
+      "Finished: pr_bcc-csm1-1_r1i1p1_rcp45_monthly.zarr 343/351 processed.\n",
+      "Finished: pr_MIROC-ESM-CHEM_r1i1p1_rcp85_monthly.zarr 344/351 processed.\n",
+      "Finished: huss_GFDL-ESM2G_r1i1p1_rcp85_monthly.zarr 345/351 processed.\n",
+      "Finished: vas_inmcm4_r1i1p1_rcp85_monthly.zarr 346/351 processed.\n",
+      "Finished: tasmin_IPSL-CM5A-LR_r1i1p1_rcp85_monthly.zarr 347/351 processed.\n",
+      "Finished: rsds_HadGEM2-CC365_r1i1p1_rcp85_monthly.zarr 348/351 processed.\n",
+      "Finished: uas_GFDL-ESM2M_r1i1p1_rcp45_monthly.zarr 349/351 processed.\n",
+      "Finished: rhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp85_monthly.zarr 350/351 processed.\n",
+      "Finished: rhsmin_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr 351/351 processed.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from concurrent.futures import ThreadPoolExecutor\n",
+    "from pathlib import Path\n",
+    "from datetime import datetime\n",
+    "import xarray as xr\n",
+    "from threading import Lock\n",
+    "\n",
+    "# Function to process each file\n",
+    "def process_file(fn):\n",
+    "    warnings.filterwarnings(\"ignore\")\n",
+    "    original_path = Path(fn)\n",
+    "    filename = original_path.name\n",
+    "    parts = filename.split('_')\n",
+    "    prefix = \"macav2_future_daily.ncml\"\n",
+    "\n",
+    "    # Extract the relevant parts\n",
+    "    relevant_parts = filename[len(prefix):].split('.')[0]\n",
+    "\n",
+    "    # Construct the new filename\n",
+    "    new_filename = f\"{relevant_parts}_monthly.zarr\"\n",
+    "\n",
+    "    # Create the new path\n",
+    "    new_path = original_path.parent / new_filename\n",
+    "\n",
+    "    # print(f\"New Path: {new_path}\")\n",
+    "    if new_path.exists():\n",
+    "        # print(f\"EXISTS: {new_path}\")\n",
+    "        pass\n",
+    "    else:\n",
+    "        # print(f\"{datetime.now()}: --> {new_path}\")\n",
+    "        ds = xr.open_dataset(fn, chunks=chunk_plan)\n",
+    "        ds.to_zarr(new_path, consolidated=True)\n",
+    "\n",
+    "    return new_filename\n",
+    "\n",
+    "\n",
+    "# Counter to keep track of progress\n",
+    "lock = Lock()\n",
+    "counter = 0\n",
+    "\n",
+    "def process_file_with_print(file):\n",
+    "    global counter\n",
+    "    new_filename = process_file(file)\n",
+    "    \n",
+    "    with lock:\n",
+    "        counter += 1\n",
+    "        print(f\"Finished: {new_filename} {counter}/{len(worklist)} processed.\", flush=True)\n",
+    "\n",
+    "# Parallel execution with 6 workers\n",
+    "with ThreadPoolExecutor(max_workers=6) as executor:\n",
+    "    executor.map(process_file_with_print, worklist)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_dz = xr.open_zarr(\"/caldera/hytest_scratch/scratch/rmcd/macav2/monthly/future/huss_bcc-csm1-1-m_r1i1p1_rcp45_monthly.zarr\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_dz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_dz[\"huss_bcc-csm1-1-m_r1i1p1_rcp45\"].isel(time=0).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Check the encoding of the zarr file. Note that lat, lon and time should not have a _FillValue encoding.  We'll handle this in the next notebook. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "# Pretty-print encoding for each variable\n",
+    "print(\"Encoding for Variables:\")\n",
+    "for var in new_dz.variables:\n",
+    "    print(f\"{var}:\")\n",
+    "    pprint(new_dz[var].encoding)\n",
+    "    print()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cluster.close()\n",
+    "client.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "d853cbf2f35f45a59f79ca5e397d8dd1594080251b0b51418fe33f5fb0138a7a"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/workflows/opendap/CIDA/MACAV2/future_daily_02_merge_zarrs.ipynb b/workflows/opendap/CIDA/MACAV2/future_daily_02_merge_zarrs.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..09abdba37504639cb533a992d0158b66dee58018
--- /dev/null
+++ b/workflows/opendap/CIDA/MACAV2/future_daily_02_merge_zarrs.ipynb
@@ -0,0 +1,53552 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MACAV2 Future Monthly dataset\n",
+    "\n",
+    "Given some previously-rechunked NetCDFs as zarr files, merge them into a single store.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "import os\n",
+    "os.environ['AWS_PROFILE'] = 'nhgf-dev'\n",
+    "os.environ['AWS_ENDPOINT'] = 'https://s3.us-west-2.amazonaws.com/'\n",
+    "%run ../../../AWS.ipynb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pathlib\n",
+    "import logging\n",
+    "import xarray as xr\n",
+    "from datetime import datetime\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Python     : 3.11.6 | packaged by conda-forge | (main, Oct  3 2023, 10:40:35) [GCC 12.3.0]\n",
+      "dask       : 2023.8.1\n",
+      "fsspec     : 2023.10.0\n",
+      "kerchunk   : --\n",
+      "xarray     : 2023.10.1\n",
+      "zarr       : 2.16.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "_versions(['dask', 'fsspec', 'zarr', 'xarray', 'kerchunk'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dask Dashboard is available at: http://127.0.0.1:8787/status\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "from dask.distributed import Client, LocalCluster\n",
+    "\n",
+    "try:\n",
+    "    if 'client' in locals():\n",
+    "        client.close()\n",
+    "        cluster.close()\n",
+    "    cluster = LocalCluster(n_workers=4, threads_per_worker=1)\n",
+    "    client = Client(cluster)\n",
+    "except Exception as e:\n",
+    "    print(f\"An error occurred: {e}\")\n",
+    "\n",
+    "# Display the Dask Dashboard URL\n",
+    "print(f\"Dask Dashboard is available at: {client.dashboard_link}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Define data location names information"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "logging.basicConfig(level=logging.INFO, force=True)\n",
+    "srcdir =  pathlib.Path(\"/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/\")\n",
+    "\n",
+    "zarr_files = list( srcdir.glob(\"*.zarr\") )\n",
+    "\n",
+    "merged_file = srcdir.parent / \"macav2_future_daily.zarr\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Open and view one of the .zarr files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/future/pr_CSIRO-Mk3-6-0_r1i1p1_rcp45_monthly.zarr')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zarr_files[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
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+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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+       "\n",
+       "html[theme=dark],\n",
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+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: 'â–º';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: 'â–¼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
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+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
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+       ".xr-var-name:hover,\n",
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+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
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+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
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+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                        (crs: 1, lat: 585, lon: 1386, time: 34333)\n",
+       "Coordinates:\n",
+       "  * crs                            (crs) int32 1\n",
+       "  * lat                            (lat) float64 25.06 25.1 25.15 ... 49.35 49.4\n",
+       "  * lon                            (lon) float64 235.2 235.3 ... 292.9 292.9\n",
+       "  * time                           (time) datetime64[ns] 2006-01-01 ... 2099-...\n",
+       "Data variables:\n",
+       "    pr_CSIRO-Mk3-6-0_r1i1p1_rcp45  (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains daily downscaled m...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               2010-12-31T00:00\n",
+       "    time_coverage_resolution:        P1D\n",
+       "    time_coverage_start:             2006-01-01T00:0\n",
+       "    title:                           Downscaled daily meteorological data of ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dc32b079-5386-45a1-8492-c3cf68b256f1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dc32b079-5386-45a1-8492-c3cf68b256f1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>crs</span>: 1</li><li><span class='xr-has-index'>lat</span>: 585</li><li><span class='xr-has-index'>lon</span>: 1386</li><li><span class='xr-has-index'>time</span>: 34333</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d849c101-ba5f-490f-b38a-8f0bf84279c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d849c101-ba5f-490f-b38a-8f0bf84279c2' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>crs</span></div><div class='xr-var-dims'>(crs)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-bdfc02a2-8051-4f3a-add0-95839b1d103e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdfc02a2-8051-4f3a-add0-95839b1d103e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bb41c70-cae7-412d-830e-32f7a112424b' class='xr-var-data-in' type='checkbox'><label for='data-7bb41c70-cae7-412d-830e-32f7a112424b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd></dl></div><div class='xr-var-data'><pre>array([1], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.06 25.1 25.15 ... 49.35 49.4</div><input id='attrs-65d6c2a9-5a2f-4ca5-8e77-03a2f45c2228' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65d6c2a9-5a2f-4ca5-8e77-03a2f45c2228' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36c60129-16f0-4952-9606-9c4ce46be61b' class='xr-var-data-in' type='checkbox'><label for='data-36c60129-16f0-4952-9606-9c4ce46be61b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>description :</span></dt><dd>Latitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([25.063078, 25.104744, 25.14641 , ..., 49.312691, 49.354359, 49.396023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>235.2 235.3 235.3 ... 292.9 292.9</div><input id='attrs-97ed01d2-d639-4f50-9989-81d7e3d39440' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97ed01d2-d639-4f50-9989-81d7e3d39440' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f29762b-06a3-4fca-80c2-fcf9b580d03e' class='xr-var-data-in' type='checkbox'><label for='data-2f29762b-06a3-4fca-80c2-fcf9b580d03e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>description :</span></dt><dd>Longitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([235.227844, 235.269501, 235.311157, ..., 292.851929, 292.893585,\n",
+       "       292.935242])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2006-01-01 ... 2099-12-31</div><input id='attrs-45d810f4-4230-41fe-bb4a-b16c4bf9aa8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d810f4-4230-41fe-bb4a-b16c4bf9aa8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e415df5-25c8-45d1-8544-1499952ec1d5' class='xr-var-data-in' type='checkbox'><label for='data-2e415df5-25c8-45d1-8544-1499952ec1d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>days since 1900-01-01</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-02T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2006-01-03T00:00:00.000000000&#x27;, ..., &#x27;2099-12-29T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2099-12-30T00:00:00.000000000&#x27;, &#x27;2099-12-31T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c19a5ce7-7394-4a3b-9e2b-b2373d4a21bd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c19a5ce7-7394-4a3b-9e2b-b2373d4a21bd' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-7d262f23-89c6-4f11-9cfd-1e33f117ae5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d262f23-89c6-4f11-9cfd-1e33f117ae5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da7b4800-3e29-4807-a0f9-c77c9bf38a9f' class='xr-var-data-in' type='checkbox'><label for='data-da7b4800-3e29-4807-a0f9-c77c9bf38a9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
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+       "\n",
+       "  <!-- Text -->\n",
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+       "        </td>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-24ba1694-3735-42e8-a934-a3cab3ec70a6' class='xr-section-summary-in' type='checkbox'  ><label for='section-24ba1694-3735-42e8-a934-a3cab3ec70a6' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>crs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-86cb5913-5850-49ce-ae81-a6ace57b1886' class='xr-index-data-in' type='checkbox'/><label for='index-86cb5913-5850-49ce-ae81-a6ace57b1886' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int32&#x27;, name=&#x27;crs&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0c8de319-059a-4829-b1e0-a78fe220825c' class='xr-index-data-in' type='checkbox'/><label for='index-0c8de319-059a-4829-b1e0-a78fe220825c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([25.063077926635742,  25.10474395751953,  25.14640998840332,\n",
+       "        25.18807601928711,   25.2297420501709, 25.271408081054688,\n",
+       "       25.313074111938477, 25.354740142822266, 25.396406173706055,\n",
+       "       25.438072204589844,\n",
+       "       ...\n",
+       "        49.02103042602539,  49.06269454956055,  49.10436248779297,\n",
+       "       49.146026611328125,  49.18769454956055,   49.2293586730957,\n",
+       "       49.271026611328125,  49.31269073486328,   49.3543586730957,\n",
+       "        49.39602279663086],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=585))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-900a785f-88b0-42d1-80e4-1a54393fd5bc' class='xr-index-data-in' type='checkbox'/><label for='index-900a785f-88b0-42d1-80e4-1a54393fd5bc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([235.22784423828125, 235.26950073242188,  235.3111572265625,\n",
+       "       235.35284423828125, 235.39450073242188,  235.4361572265625,\n",
+       "        235.4778289794922, 235.51950073242188,  235.5611572265625,\n",
+       "        235.6028289794922,\n",
+       "       ...\n",
+       "       292.56024169921875,  292.6019287109375,  292.6435852050781,\n",
+       "       292.68524169921875,  292.7269287109375,  292.7685852050781,\n",
+       "       292.81024169921875,  292.8519287109375,  292.8935852050781,\n",
+       "       292.93524169921875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1386))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0c831b3b-b29d-449c-993e-9f9496b6dd04' class='xr-index-data-in' type='checkbox'/><label for='index-0c831b3b-b29d-449c-993e-9f9496b6dd04' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2006-01-01&#x27;, &#x27;2006-01-02&#x27;, &#x27;2006-01-03&#x27;, &#x27;2006-01-04&#x27;,\n",
+       "               &#x27;2006-01-05&#x27;, &#x27;2006-01-06&#x27;, &#x27;2006-01-07&#x27;, &#x27;2006-01-08&#x27;,\n",
+       "               &#x27;2006-01-09&#x27;, &#x27;2006-01-10&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2099-12-22&#x27;, &#x27;2099-12-23&#x27;, &#x27;2099-12-24&#x27;, &#x27;2099-12-25&#x27;,\n",
+       "               &#x27;2099-12-26&#x27;, &#x27;2099-12-27&#x27;, &#x27;2099-12-28&#x27;, &#x27;2099-12-29&#x27;,\n",
+       "               &#x27;2099-12-30&#x27;, &#x27;2099-12-31&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=34333, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-951163ad-a0ce-4f6c-9451-81cb9a9dc240' class='xr-section-summary-in' type='checkbox'  ><label for='section-951163ad-a0ce-4f6c-9451-81cb9a9dc240' class='xr-section-summary' >Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Metadata_Link :</span></dt><dd></dd><dt><span>cdm_data_type :</span></dt><dd>GRID</dd><dt><span>comment :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>contributor_name :</span></dt><dd>Katherine C. Hegewisch</dd><dt><span>contributor_role :</span></dt><dd>Postdoctoral Fellow</dd><dt><span>creator_email :</span></dt><dd>jabatzoglou@uidaho.edu</dd><dt><span>creator_name :</span></dt><dd>John Abatzoglou</dd><dt><span>creator_url :</span></dt><dd>http://maca.northwestknowledge.net</dd><dt><span>date_created :</span></dt><dd>2014-05-15</dd><dt><span>date_issued :</span></dt><dd>2014-05-15</dd><dt><span>date_modified :</span></dt><dd>2014-05-15</dd><dt><span>description :</span></dt><dd>Multivariate Adaptive Constructed Analogs (MACA) method, version 2.3,Dec 2013.</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-124.7722 25.0631,-124.7722 49.3960, -67.0648 49.3960,-67.0648, 25.0631, -124.7722,25.0631))</dd><dt><span>geospatial_lat_max :</span></dt><dd>49.3960</dd><dt><span>geospatial_lat_min :</span></dt><dd>25.0631</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lat_units :</span></dt><dd>decimal degrees north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-67.0648</dd><dt><span>geospatial_lon_min :</span></dt><dd>-124.7722</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lon_units :</span></dt><dd>decimal degrees east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.0</dd><dt><span>history :</span></dt><dd>No revisions.</dd><dt><span>id :</span></dt><dd>MACAv2-METDATA</dd><dt><span>institution :</span></dt><dd>University of Idaho</dd><dt><span>keywords :</span></dt><dd>daily precipitation, daily maximum temperature, daily minimum temperature, daily downward shortwave solar radiation, daily specific humidity, daily wind velocity, CMIP5, Gridded Meteorological Data</dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>license :</span></dt><dd>Creative Commons CC0 1.0 Universal Dedication(http://creativecommons.org/publicdomain/zero/1.0/legalcode)</dd><dt><span>naming_authority :</span></dt><dd>edu.uidaho.reacch</dd><dt><span>processing_level :</span></dt><dd>GRID</dd><dt><span>project :</span></dt><dd></dd><dt><span>publisher_email :</span></dt><dd></dd><dt><span>publisher_name :</span></dt><dd></dd><dt><span>publisher_url :</span></dt><dd></dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.0</dd><dt><span>summary :</span></dt><dd>This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin)precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modellers.</dd><dt><span>time_coverage_duration :</span></dt><dd>P5Y</dd><dt><span>time_coverage_end :</span></dt><dd>2010-12-31T00:00</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>time_coverage_start :</span></dt><dd>2006-01-01T00:0</dd><dt><span>title :</span></dt><dd>Downscaled daily meteorological data of Precipitation from College of Global Change and Earth System Science, Beijing Normal University (BNU-ESM) using the run r1i1p1 of the rcp45 scenario.</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                        (crs: 1, lat: 585, lon: 1386, time: 34333)\n",
+       "Coordinates:\n",
+       "  * crs                            (crs) int32 1\n",
+       "  * lat                            (lat) float64 25.06 25.1 25.15 ... 49.35 49.4\n",
+       "  * lon                            (lon) float64 235.2 235.3 ... 292.9 292.9\n",
+       "  * time                           (time) datetime64[ns] 2006-01-01 ... 2099-...\n",
+       "Data variables:\n",
+       "    pr_CSIRO-Mk3-6-0_r1i1p1_rcp45  (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains daily downscaled m...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               2010-12-31T00:00\n",
+       "    time_coverage_resolution:        P1D\n",
+       "    time_coverage_start:             2006-01-01T00:0\n",
+       "    title:                           Downscaled daily meteorological data of ..."
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_in = xr.open_dataset(zarr_files[0], engine='zarr', chunks={}, decode_cf=True)\n",
+    "ds_in"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Explore the encoding - We'll make some changes below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Encoding for Variables:\n",
+      "crs:\n",
+      "{'chunks': (1,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('int32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'crs': 1}}\n",
+      "\n",
+      "lat:\n",
+      "{'_FillValue': nan,\n",
+      " 'chunks': (585,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 585}}\n",
+      "\n",
+      "lon:\n",
+      "{'_FillValue': nan,\n",
+      " 'chunks': (1386,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lon': 1386}}\n",
+      "\n",
+      "pr_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'missing_value': -9999,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "time:\n",
+      "{'_FillValue': nan,\n",
+      " 'calendar': 'gregorian',\n",
+      " 'chunks': (34333,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'time': 34333},\n",
+      " 'units': 'days since 1900-01-01'}\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pprint import pprint\n",
+    "# Pretty-print encoding for each variable\n",
+    "print(\"Encoding for Variables:\")\n",
+    "for var in ds_in.variables:\n",
+    "    print(f\"{var}:\")\n",
+    "    pprint(ds_in[var].encoding)\n",
+    "    print()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If a varaiable has both _FillValue and missing_value and they are equal, remove the missing_value encoding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_var_encoding(ds, var_name):\n",
+    "    if var_name in ds.data_vars:\n",
+    "        existing_encoding = ds[var_name].encoding\n",
+    "        fill_value = existing_encoding.get('_FillValue')\n",
+    "        missing_value = existing_encoding.get('missing_value')\n",
+    "\n",
+    "        if fill_value is not None and missing_value is not None:\n",
+    "            if fill_value == missing_value:\n",
+    "                ds[var_name].encoding.update({'missing_value': None})\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Remove _FillValue attribute for lat/lon/time, reset crs to be a scalar and remove _FillValue, and finally merge zarr stores into single zarr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_future_daily.zarr\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Loop through the list of Zarr files\n",
+    "for index, zarr_file in enumerate(zarr_files):\n",
+    "    # Open the Zarr file\n",
+    "    ds = xr.open_zarr(zarr_file)\n",
+    "    # ds = xr.conventions.decode_cf(ds)\n",
+    "    # Prepare an encoding dictionary, preserving existing settings\n",
+    "    encoding_dict = {}\n",
+    "    for var in ['lat', 'lon', 'time']:\n",
+    "        if var in ds.variables:\n",
+    "            ds[var].encoding.update({'_FillValue': None, 'contiguous': True})\n",
+    "\n",
+    "    for name in ds.data_vars:\n",
+    "        # Make a copy of the existing encoding dictionary for the variable\n",
+    "        update_var_encoding(ds, name)\n",
+    "    # Fix the crs variable\n",
+    "    crs_attrs = ds.crs.attrs\n",
+    "    ds.drop_vars(\"crs\")\n",
+    "    ds = ds.assign(crs=0.0)\n",
+    "    ds.crs.attrs = crs_attrs\n",
+    "    ds.crs.encoding.update({'_FillValue': None})\n",
+    "    logging.info(\"  >> Appending to %s\", merged_file)\n",
+    "    ds.to_zarr(merged_file, mode='a', consolidated=True)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Check the new merged zarr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
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+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
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+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
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+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
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+       "\n",
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+       "\n",
+       ".xr-sections {\n",
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+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
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+       "\n",
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+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
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+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
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+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
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+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
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+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
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+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
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+       "\n",
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+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
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+       "  font-weight: bold;\n",
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+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
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+       "}\n",
+       "\n",
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+       "  margin-bottom: 0;\n",
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+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
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+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
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+       "\n",
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+       "  color: var(--xr-font-color2);\n",
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+       "\n",
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+       ".xr-var-name:hover,\n",
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+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
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+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
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+       ".xr-index-name div,\n",
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+       "  padding-left: 25px !important;\n",
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+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
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+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                             (time: 34333, lat: 585, lon: 1386)\n",
+       "Coordinates:\n",
+       "    crs                                 float64 ...\n",
+       "  * lat                                 (lat) float64 25.06 25.1 ... 49.35 49.4\n",
+       "  * lon                                 (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                (time) datetime64[ns] 2006-01-01 ... ...\n",
+       "Data variables: (12/350)\n",
+       "    huss_BNU-ESM_r1i1p1_rcp45           (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    huss_BNU-ESM_r1i1p1_rcp85           (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    huss_CCSM4_r6i1p1_rcp45             (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    huss_CCSM4_r6i1p1_rcp85             (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    huss_CNRM-CM5_r1i1p1_rcp45          (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    huss_CNRM-CM5_r1i1p1_rcp85          (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    ...                                  ...\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_rcp45       (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_rcp85       (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    vas_bcc-csm1-1_r1i1p1_rcp45         (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    vas_bcc-csm1-1_r1i1p1_rcp85         (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    vas_inmcm4_r1i1p1_rcp45             (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "    vas_inmcm4_r1i1p1_rcp85             (time, lat, lon) float32 dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains daily downscaled m...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               2010-12-31T00:00\n",
+       "    time_coverage_resolution:        P1D\n",
+       "    time_coverage_start:             2006-01-01T00:0\n",
+       "    title:                           Downscaled daily meteorological data of ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e5a9a93e-f552-4d7a-9c2b-a6c206bda544' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5a9a93e-f552-4d7a-9c2b-a6c206bda544' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 34333</li><li><span class='xr-has-index'>lat</span>: 585</li><li><span class='xr-has-index'>lon</span>: 1386</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a5b16022-e451-449e-9f3c-28e7633b009d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5b16022-e451-449e-9f3c-28e7633b009d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11203208-da05-4444-8c58-c6b491e9342a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11203208-da05-4444-8c58-c6b491e9342a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c95b1f85-74d4-48a0-9089-082c1824198a' class='xr-var-data-in' type='checkbox'><label for='data-c95b1f85-74d4-48a0-9089-082c1824198a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.06 25.1 25.15 ... 49.35 49.4</div><input id='attrs-92566f8a-aeec-4221-8a55-7ba976b6094f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92566f8a-aeec-4221-8a55-7ba976b6094f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b365038e-997e-4afd-afc9-88fd6f24884c' class='xr-var-data-in' type='checkbox'><label for='data-b365038e-997e-4afd-afc9-88fd6f24884c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>description :</span></dt><dd>Latitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([25.063078, 25.104744, 25.14641 , ..., 49.312691, 49.354359, 49.396023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>235.2 235.3 235.3 ... 292.9 292.9</div><input id='attrs-68897ea0-a2b8-45d7-814a-09d49eb402e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68897ea0-a2b8-45d7-814a-09d49eb402e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1faa3671-fe2c-4df6-a945-6183e963bc0c' class='xr-var-data-in' type='checkbox'><label for='data-1faa3671-fe2c-4df6-a945-6183e963bc0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>description :</span></dt><dd>Longitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([235.227844, 235.269501, 235.311157, ..., 292.851929, 292.893585,\n",
+       "       292.935242])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2006-01-01 ... 2099-12-31</div><input id='attrs-9af142bd-6b55-4fee-87ad-b493ec1132c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9af142bd-6b55-4fee-87ad-b493ec1132c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a4b2702-ca31-4610-a651-deb1f0af880f' class='xr-var-data-in' type='checkbox'><label for='data-8a4b2702-ca31-4610-a651-deb1f0af880f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>days since 1900-01-01</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-02T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2006-01-03T00:00:00.000000000&#x27;, ..., &#x27;2099-12-29T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2099-12-30T00:00:00.000000000&#x27;, &#x27;2099-12-31T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3db09f1-85c2-4569-8208-005f5b3a74ad' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3db09f1-85c2-4569-8208-005f5b3a74ad' class='xr-section-summary' >Data variables: <span>(350)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>huss_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-21d58891-d4f4-43e5-aece-264ae55521af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21d58891-d4f4-43e5-aece-264ae55521af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea0e3242-d555-4e31-921f-9e8bd599ec38' class='xr-var-data-in' type='checkbox'><label for='data-ea0e3242-d555-4e31-921f-9e8bd599ec38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-614f57e0-4d8c-403c-89e9-efd61ae7b51c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-614f57e0-4d8c-403c-89e9-efd61ae7b51c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8df68cf-ed60-40c0-9661-d4846ebcec39' class='xr-var-data-in' type='checkbox'><label for='data-d8df68cf-ed60-40c0-9661-d4846ebcec39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CCSM4_r6i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-eb9581cd-9be6-41b0-b3e8-0a7c9f9c10d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb9581cd-9be6-41b0-b3e8-0a7c9f9c10d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad21409c-a0d3-4659-88e8-ff969d967f08' class='xr-var-data-in' type='checkbox'><label for='data-ad21409c-a0d3-4659-88e8-ff969d967f08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CNRM-CM5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-09c9ba21-9b27-4375-bd2b-01180a536105' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09c9ba21-9b27-4375-bd2b-01180a536105' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d105946-1438-4825-a717-41b1ee098a53' class='xr-var-data-in' type='checkbox'><label for='data-8d105946-1438-4825-a717-41b1ee098a53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e3adfb7f-aa74-48f7-a119-f3d0520ecc8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3adfb7f-aa74-48f7-a119-f3d0520ecc8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e01d0c8-5e78-4679-8fc7-fe32744ba0c0' class='xr-var-data-in' type='checkbox'><label for='data-9e01d0c8-5e78-4679-8fc7-fe32744ba0c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CanESM2_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-3fecfdb6-e976-49a1-a71e-a6f73261a4d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fecfdb6-e976-49a1-a71e-a6f73261a4d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-309424d4-c319-414d-8ee4-89c0913815df' class='xr-var-data-in' type='checkbox'><label for='data-309424d4-c319-414d-8ee4-89c0913815df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2G_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-85c96ae0-ecd1-4af9-a125-87d02b307e0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c96ae0-ecd1-4af9-a125-87d02b307e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65d94bad-05f4-440f-9331-87bdc8ae63f4' class='xr-var-data-in' type='checkbox'><label for='data-65d94bad-05f4-440f-9331-87bdc8ae63f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-183cd449-54fe-44e3-b1b5-21e73f9a01de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-183cd449-54fe-44e3-b1b5-21e73f9a01de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef07ac0f-d8a7-4cea-92cb-0bd2a235ff8c' class='xr-var-data-in' type='checkbox'><label for='data-ef07ac0f-d8a7-4cea-92cb-0bd2a235ff8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-95cef65b-451a-498f-b819-d95085296728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95cef65b-451a-498f-b819-d95085296728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2995284-71c0-4eb2-bbf7-c67d4f13bcae' class='xr-var-data-in' type='checkbox'><label for='data-a2995284-71c0-4eb2-bbf7-c67d4f13bcae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_HadGEM2-CC365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c7a1760a-439e-4bf2-a7a7-38590e3e8614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7a1760a-439e-4bf2-a7a7-38590e3e8614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f93fb37-2ee9-4ce4-8849-7c0a96262fc1' class='xr-var-data-in' type='checkbox'><label for='data-8f93fb37-2ee9-4ce4-8849-7c0a96262fc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-72a8a3f0-6657-4136-9db0-20e02ba45d9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72a8a3f0-6657-4136-9db0-20e02ba45d9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-071bfe26-6d62-43f9-9dc6-7dab8c98f3c1' class='xr-var-data-in' type='checkbox'><label for='data-071bfe26-6d62-43f9-9dc6-7dab8c98f3c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c35f1d72-2e74-45e9-b489-a81f4cbfe2fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c35f1d72-2e74-45e9-b489-a81f4cbfe2fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec1d7709-bc58-49e8-9b60-5af118dd8250' class='xr-var-data-in' type='checkbox'><label for='data-ec1d7709-bc58-49e8-9b60-5af118dd8250' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-351b86cb-e5c1-48b4-bc17-b72ebcc71c70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-351b86cb-e5c1-48b4-bc17-b72ebcc71c70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42fa4614-c8ef-4faa-b2c9-ba42db3f371c' class='xr-var-data-in' type='checkbox'><label for='data-42fa4614-c8ef-4faa-b2c9-ba42db3f371c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5B-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-9e0d948d-dedc-4e85-bb9c-0fac43037987' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e0d948d-dedc-4e85-bb9c-0fac43037987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a20c0b6-c7b6-4320-b329-8549ced09ebd' class='xr-var-data-in' type='checkbox'><label for='data-4a20c0b6-c7b6-4320-b329-8549ced09ebd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5B-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1ce60688-5b9e-4aa8-be93-d7211024c658' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ce60688-5b9e-4aa8-be93-d7211024c658' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41b5c150-e25b-4683-8592-8fd1e36256ce' class='xr-var-data-in' type='checkbox'><label for='data-41b5c150-e25b-4683-8592-8fd1e36256ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1901892f-b115-488b-93be-bd542e00feca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1901892f-b115-488b-93be-bd542e00feca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6da1577e-75cb-4794-a751-81534d85fa09' class='xr-var-data-in' type='checkbox'><label for='data-6da1577e-75cb-4794-a751-81534d85fa09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-47966f20-c2b7-486a-9d05-352239c04cd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47966f20-c2b7-486a-9d05-352239c04cd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04a66b1a-db5b-4467-872b-636666a94c1f' class='xr-var-data-in' type='checkbox'><label for='data-04a66b1a-db5b-4467-872b-636666a94c1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-5737494d-35b9-4178-8a05-5fc77dc4f397' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5737494d-35b9-4178-8a05-5fc77dc4f397' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa2d2923-8598-4f64-863d-e8283a77358f' class='xr-var-data-in' type='checkbox'><label for='data-aa2d2923-8598-4f64-863d-e8283a77358f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MRI-CGCM3_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-29e9bd5d-4692-4547-9b7c-6811090d878e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29e9bd5d-4692-4547-9b7c-6811090d878e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c1b6513-e806-4892-bd28-0e9e3284c89a' class='xr-var-data-in' type='checkbox'><label for='data-9c1b6513-e806-4892-bd28-0e9e3284c89a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MRI-CGCM3_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c182d516-798c-4988-8b20-5ff399696197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c182d516-798c-4988-8b20-5ff399696197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13172a32-6a71-4594-8a64-e31b6ff81010' class='xr-var-data-in' type='checkbox'><label for='data-13172a32-6a71-4594-8a64-e31b6ff81010' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_NorESM1-M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-0c1d14da-254a-489b-89cc-4ba7e0d1cd8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c1d14da-254a-489b-89cc-4ba7e0d1cd8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43704841-d10b-4d57-a730-db284710bdbf' class='xr-var-data-in' type='checkbox'><label for='data-43704841-d10b-4d57-a730-db284710bdbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-de550551-aabf-4064-a083-42f4653daaa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de550551-aabf-4064-a083-42f4653daaa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-930f8dd7-d910-46dd-b02d-2ef069729d88' class='xr-var-data-in' type='checkbox'><label for='data-930f8dd7-d910-46dd-b02d-2ef069729d88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1-m_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-89625955-d2b4-42c5-8945-93159e57dd63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89625955-d2b4-42c5-8945-93159e57dd63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8df392b-8045-40c7-a121-3256d77bcbff' class='xr-var-data-in' type='checkbox'><label for='data-d8df392b-8045-40c7-a121-3256d77bcbff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-a2343014-b6a5-4a3d-a2af-7667271ca642' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2343014-b6a5-4a3d-a2af-7667271ca642' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a194721-bddc-4912-a6d0-6a346f033327' class='xr-var-data-in' type='checkbox'><label for='data-5a194721-bddc-4912-a6d0-6a346f033327' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e01e4eac-d98f-4961-b821-e58d3f9502b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e01e4eac-d98f-4961-b821-e58d3f9502b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-513cb71a-4319-4afa-b81f-7a7e2a806541' class='xr-var-data-in' type='checkbox'><label for='data-513cb71a-4319-4afa-b81f-7a7e2a806541' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_inmcm4_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-02353498-2b8f-4927-9af0-14c7c0af7745' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02353498-2b8f-4927-9af0-14c7c0af7745' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a28ce578-4f67-4a2d-89fb-85a6537d8644' class='xr-var-data-in' type='checkbox'><label for='data-a28ce578-4f67-4a2d-89fb-85a6537d8644' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-af477406-26ce-4bf7-b885-83816a25ea36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af477406-26ce-4bf7-b885-83816a25ea36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37198dc5-e25b-49da-b748-afcf74a31ea5' class='xr-var-data-in' type='checkbox'><label for='data-37198dc5-e25b-49da-b748-afcf74a31ea5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-9aaad0bb-b0ed-42a7-b6e4-0761c99a1c16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aaad0bb-b0ed-42a7-b6e4-0761c99a1c16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c0913da-c12d-4c70-b51a-e8d037dd0c5e' class='xr-var-data-in' type='checkbox'><label for='data-7c0913da-c12d-4c70-b51a-e8d037dd0c5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-41108cfc-a7f8-4f50-b841-320ac5159afc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41108cfc-a7f8-4f50-b841-320ac5159afc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-217408c8-8fe9-467b-9633-b4e959cd69e7' class='xr-var-data-in' type='checkbox'><label for='data-217408c8-8fe9-467b-9633-b4e959cd69e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-d8c7593f-9210-4af2-bb34-ed70b2355c7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8c7593f-9210-4af2-bb34-ed70b2355c7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-648bac9e-016b-470f-a8a0-4e0ba7b0697e' class='xr-var-data-in' type='checkbox'><label for='data-648bac9e-016b-470f-a8a0-4e0ba7b0697e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CanESM2_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-9710955a-812a-43f3-b0a2-3f32ef167ec0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9710955a-812a-43f3-b0a2-3f32ef167ec0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec4276b4-b4c1-41c4-a165-03e39f1569e7' class='xr-var-data-in' type='checkbox'><label for='data-ec4276b4-b4c1-41c4-a165-03e39f1569e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-14c04355-6cff-4638-9384-35fc02a6bc4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14c04355-6cff-4638-9384-35fc02a6bc4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50b19499-0a1a-4092-9009-52f12b943f56' class='xr-var-data-in' type='checkbox'><label for='data-50b19499-0a1a-4092-9009-52f12b943f56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_GFDL-ESM2M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-fa7920ca-1cf4-46d7-b22b-73e052994e50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa7920ca-1cf4-46d7-b22b-73e052994e50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b881cab8-e6c5-4fb5-9d5d-c0392123423c' class='xr-var-data-in' type='checkbox'><label for='data-b881cab8-e6c5-4fb5-9d5d-c0392123423c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
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+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_IPSL-CM5A-MR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2482f7f8-7956-4221-a027-8b96a69b3adf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2482f7f8-7956-4221-a027-8b96a69b3adf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d8a1a8e-226b-4121-a95f-67b5c05f5022' class='xr-var-data-in' type='checkbox'><label for='data-7d8a1a8e-226b-4121-a95f-67b5c05f5022' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MIROC-ESM-CHEM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-20d24f58-9f76-4032-8403-6ce2f03ca09d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20d24f58-9f76-4032-8403-6ce2f03ca09d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a42c26c4-9822-4f8b-99be-926230fd494a' class='xr-var-data-in' type='checkbox'><label for='data-a42c26c4-9822-4f8b-99be-926230fd494a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MRI-CGCM3_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4bd7f258-2948-4d37-ab9d-2352e40e38e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bd7f258-2948-4d37-ab9d-2352e40e38e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13bf4afc-4e40-471a-9386-0aea9ed6efeb' class='xr-var-data-in' type='checkbox'><label for='data-13bf4afc-4e40-471a-9386-0aea9ed6efeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "    <tr>\n",
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+       "                <thead>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_inmcm4_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-dd74c70a-5fa9-4153-a86a-0d24dd0b1ba5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd74c70a-5fa9-4153-a86a-0d24dd0b1ba5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e35a320-ad95-453a-a1f7-4d125aea367e' class='xr-var-data-in' type='checkbox'><label for='data-0e35a320-ad95-453a-a1f7-4d125aea367e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-01acbe8d-0720-4ee8-8c1a-97546e67f6a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01acbe8d-0720-4ee8-8c1a-97546e67f6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea8c8e89-ec8a-4fae-89ef-373e8f6a97d1' class='xr-var-data-in' type='checkbox'><label for='data-ea8c8e89-ec8a-4fae-89ef-373e8f6a97d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-860682b6-cd2a-4d03-b9ed-66afcd3f7009' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-860682b6-cd2a-4d03-b9ed-66afcd3f7009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d922c76-bf70-4ec3-b6fd-0bdfbd5ea904' class='xr-var-data-in' type='checkbox'><label for='data-5d922c76-bf70-4ec3-b6fd-0bdfbd5ea904' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CNRM-CM5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-dab5dcff-6c0d-452e-a65b-e6c5ce7242eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dab5dcff-6c0d-452e-a65b-e6c5ce7242eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01b8ede0-a2c0-4028-bc32-3fb0f6bd2d4b' class='xr-var-data-in' type='checkbox'><label for='data-01b8ede0-a2c0-4028-bc32-3fb0f6bd2d4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-a7392aec-123a-4b75-b71c-471beb78cb87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7392aec-123a-4b75-b71c-471beb78cb87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03b3158b-67fd-4e2b-ad12-f10639806391' class='xr-var-data-in' type='checkbox'><label for='data-03b3158b-67fd-4e2b-ad12-f10639806391' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-7e48e5cb-f519-4158-9163-6339880fdc94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e48e5cb-f519-4158-9163-6339880fdc94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-679a2d9a-5f93-47d7-bd78-cba06aa1850b' class='xr-var-data-in' type='checkbox'><label for='data-679a2d9a-5f93-47d7-bd78-cba06aa1850b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "                <thead>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CanESM2_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-a9ea2780-8a50-4a04-aca8-2eff64532243' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9ea2780-8a50-4a04-aca8-2eff64532243' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5871da5-05b8-4bb8-a8aa-4e59d415b623' class='xr-var-data-in' type='checkbox'><label for='data-c5871da5-05b8-4bb8-a8aa-4e59d415b623' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_GFDL-ESM2G_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-d818a517-78ad-43cb-9152-a04c34652d0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d818a517-78ad-43cb-9152-a04c34652d0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd78998c-f39f-447f-8cad-705dfbf485aa' class='xr-var-data-in' type='checkbox'><label for='data-dd78998c-f39f-447f-8cad-705dfbf485aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-3009463e-1abe-4dcf-b680-53b2336302fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3009463e-1abe-4dcf-b680-53b2336302fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08eb55c2-75fd-47fd-9ae7-98240ed9f9ea' class='xr-var-data-in' type='checkbox'><label for='data-08eb55c2-75fd-47fd-9ae7-98240ed9f9ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-667f05b8-7566-4d57-ac70-c5c104a25f9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-667f05b8-7566-4d57-ac70-c5c104a25f9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16606ea5-f6be-42c6-b984-27024b226f98' class='xr-var-data-in' type='checkbox'><label for='data-16606ea5-f6be-42c6-b984-27024b226f98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-CC365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-411f212d-5dad-44da-a8d4-a6735865b4e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-411f212d-5dad-44da-a8d4-a6735865b4e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b92e362-1f39-4f81-abf1-16f99952c496' class='xr-var-data-in' type='checkbox'><label for='data-3b92e362-1f39-4f81-abf1-16f99952c496' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-532155aa-c902-487a-8ece-3a56864d768e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-532155aa-c902-487a-8ece-3a56864d768e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaf9cbea-3448-4179-a4e1-8f6ad2860306' class='xr-var-data-in' type='checkbox'><label for='data-eaf9cbea-3448-4179-a4e1-8f6ad2860306' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-ES365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-109bf365-941a-45cc-aa36-ec2046157634' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-109bf365-941a-45cc-aa36-ec2046157634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eebca2a-81c7-484f-81a6-91698f896337' class='xr-var-data-in' type='checkbox'><label for='data-3eebca2a-81c7-484f-81a6-91698f896337' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-fea461ab-b93f-436f-a3a5-d2526b24b664' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fea461ab-b93f-436f-a3a5-d2526b24b664' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-434ea48d-0b56-4bc9-8127-940303df614b' class='xr-var-data-in' type='checkbox'><label for='data-434ea48d-0b56-4bc9-8127-940303df614b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2621e57b-07dc-40bc-9c45-5ae9ccdaa702' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2621e57b-07dc-40bc-9c45-5ae9ccdaa702' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d58914b-dc3e-4cad-93e6-2cb9adf2cfe9' class='xr-var-data-in' type='checkbox'><label for='data-9d58914b-dc3e-4cad-93e6-2cb9adf2cfe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-6b4ff862-8259-4f34-89b6-e674fd224c2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b4ff862-8259-4f34-89b6-e674fd224c2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1338be7c-395f-4346-9fd3-ea5f33fb1327' class='xr-var-data-in' type='checkbox'><label for='data-1338be7c-395f-4346-9fd3-ea5f33fb1327' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-MR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4cb5477d-20ab-4597-8bcb-d1963dfa5465' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cb5477d-20ab-4597-8bcb-d1963dfa5465' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-881e5534-0351-4626-be3e-b3796baa999a' class='xr-var-data-in' type='checkbox'><label for='data-881e5534-0351-4626-be3e-b3796baa999a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5B-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-50cd611a-a564-4e27-b8b2-04efffa9e332' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50cd611a-a564-4e27-b8b2-04efffa9e332' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33c13772-c258-4f0f-b8a5-6fd58cf08b3f' class='xr-var-data-in' type='checkbox'><label for='data-33c13772-c258-4f0f-b8a5-6fd58cf08b3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC-ESM-CHEM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-80635186-a9fd-4f08-9de3-1200740872c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80635186-a9fd-4f08-9de3-1200740872c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-833df792-e78c-4614-a631-e4d7e1978fa8' class='xr-var-data-in' type='checkbox'><label for='data-833df792-e78c-4614-a631-e4d7e1978fa8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-3214193c-3c18-417c-9744-cd76d72f77f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3214193c-3c18-417c-9744-cd76d72f77f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e3b88f1-3858-4917-a438-5b666b999f7e' class='xr-var-data-in' type='checkbox'><label for='data-6e3b88f1-3858-4917-a438-5b666b999f7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-dd47937e-2f38-45b6-849b-2061f66a6116' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd47937e-2f38-45b6-849b-2061f66a6116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7f5c69c-0fa7-4d8f-b872-65b40e7f318b' class='xr-var-data-in' type='checkbox'><label for='data-a7f5c69c-0fa7-4d8f-b872-65b40e7f318b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-248ecf51-cc88-4da6-ab35-999e89c4a749' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-248ecf51-cc88-4da6-ab35-999e89c4a749' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42b0df33-fe95-47d0-8feb-671b152cd22a' class='xr-var-data-in' type='checkbox'><label for='data-42b0df33-fe95-47d0-8feb-671b152cd22a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_ChunkSizes :</span></dt><dd>[1, 44, 107]</dd><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MRI-CGCM3_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e4295386-278e-4705-9d79-951bf4f6b1fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4295386-278e-4705-9d79-951bf4f6b1fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b273ca7b-cccd-4648-b604-8f9dcfa0aacf' class='xr-var-data-in' type='checkbox'><label for='data-b273ca7b-cccd-4648-b604-8f9dcfa0aacf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_bcc-csm1-1-m_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-478f8d39-ba85-496f-b0c5-37829d762c0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-478f8d39-ba85-496f-b0c5-37829d762c0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b138568b-0643-4cc2-8f3e-c5481436262f' class='xr-var-data-in' type='checkbox'><label for='data-b138568b-0643-4cc2-8f3e-c5481436262f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_bcc-csm1-1_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-07b2d651-d5dc-42d8-8f3d-abd73a1a287d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07b2d651-d5dc-42d8-8f3d-abd73a1a287d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb10b608-1a83-4278-a10b-e20f0c74bee9' class='xr-var-data-in' type='checkbox'><label for='data-eb10b608-1a83-4278-a10b-e20f0c74bee9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-25e30b00-04b4-4063-a3fa-5b340633b475' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25e30b00-04b4-4063-a3fa-5b340633b475' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39b55d90-72b7-4605-9250-fb7df496d562' class='xr-var-data-in' type='checkbox'><label for='data-39b55d90-72b7-4605-9250-fb7df496d562' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-336006ee-5879-4684-a5b3-840ff3334caa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-336006ee-5879-4684-a5b3-840ff3334caa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1f90dbd-23d9-4201-853a-c10fa8f63ee6' class='xr-var-data-in' type='checkbox'><label for='data-d1f90dbd-23d9-4201-853a-c10fa8f63ee6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-a2735d68-9141-47f2-b3dc-d859598a70fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2735d68-9141-47f2-b3dc-d859598a70fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc8f61de-dc74-42dc-909f-3e91b7b1d44d' class='xr-var-data-in' type='checkbox'><label for='data-bc8f61de-dc74-42dc-909f-3e91b7b1d44d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-93eb7b45-6988-4b08-a754-033111eb2e25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93eb7b45-6988-4b08-a754-033111eb2e25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c7e0028-ca96-452f-a2b4-0b3571d73105' class='xr-var-data-in' type='checkbox'><label for='data-8c7e0028-ca96-452f-a2b4-0b3571d73105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> 103.70 GiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CNRM-CM5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-f475c340-04ad-4cd1-93b4-339c362a98ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f475c340-04ad-4cd1-93b4-339c362a98ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29e244e9-7610-43b5-8b56-fcc5c7d86a71' class='xr-var-data-in' type='checkbox'><label for='data-29e244e9-7610-43b5-8b56-fcc5c7d86a71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-363a4f62-8968-49db-b060-f3a7fc78e277' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-363a4f62-8968-49db-b060-f3a7fc78e277' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-400e1f6f-41cd-4a70-b0b0-0e8986b4e9a0' class='xr-var-data-in' type='checkbox'><label for='data-400e1f6f-41cd-4a70-b0b0-0e8986b4e9a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CSIRO-Mk3-6-0_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-db43d07e-ca80-4cc0-becf-772f07d20bec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db43d07e-ca80-4cc0-becf-772f07d20bec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b39353-0c17-457b-a510-cba027aa80a8' class='xr-var-data-in' type='checkbox'><label for='data-f5b39353-0c17-457b-a510-cba027aa80a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CanESM2_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-ec0f4eb2-6f2f-4f6b-af4c-7798624a589a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec0f4eb2-6f2f-4f6b-af4c-7798624a589a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-494c4a5b-bd76-4742-b3f7-b01545e7530c' class='xr-var-data-in' type='checkbox'><label for='data-494c4a5b-bd76-4742-b3f7-b01545e7530c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CanESM2_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-37411ae6-9d76-4691-86f6-1a97862160a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37411ae6-9d76-4691-86f6-1a97862160a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a486094-1623-4c20-95a7-c70db742d1dd' class='xr-var-data-in' type='checkbox'><label for='data-3a486094-1623-4c20-95a7-c70db742d1dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_GFDL-ESM2G_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-53554a30-6f5c-4780-9529-4f53b1ecbdb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53554a30-6f5c-4780-9529-4f53b1ecbdb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-376ccb4e-cc05-439b-a2d5-6165fb03914e' class='xr-var-data-in' type='checkbox'><label for='data-376ccb4e-cc05-439b-a2d5-6165fb03914e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e43f5f89-961b-4b74-90f8-787c5c7dc9e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e43f5f89-961b-4b74-90f8-787c5c7dc9e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bc619e2-e0a6-44f4-9511-4eef6fba5f9e' class='xr-var-data-in' type='checkbox'><label for='data-7bc619e2-e0a6-44f4-9511-4eef6fba5f9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-8de41867-44e7-4a02-a7dc-6c6caa72ce66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8de41867-44e7-4a02-a7dc-6c6caa72ce66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4a7e236-4f88-42ad-8aff-c650186cd059' class='xr-var-data-in' type='checkbox'><label for='data-b4a7e236-4f88-42ad-8aff-c650186cd059' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_GFDL-ESM2M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-0f63f97f-d61d-418c-89ab-cae3c4efd2eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f63f97f-d61d-418c-89ab-cae3c4efd2eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6943bee-5f9e-422f-968e-642aef158763' class='xr-var-data-in' type='checkbox'><label for='data-f6943bee-5f9e-422f-968e-642aef158763' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-CC365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b59f1594-ad51-4ee3-bfd9-34e057d70eda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b59f1594-ad51-4ee3-bfd9-34e057d70eda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a73ccbe-0dcf-47f2-9a40-1b010d8ac2db' class='xr-var-data-in' type='checkbox'><label for='data-3a73ccbe-0dcf-47f2-9a40-1b010d8ac2db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-CC365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-9cd8753a-c48c-4db4-9d7d-7573b49d58fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cd8753a-c48c-4db4-9d7d-7573b49d58fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-387f60f4-91c9-45c4-aa49-e0fe1862bfb8' class='xr-var-data-in' type='checkbox'><label for='data-387f60f4-91c9-45c4-aa49-e0fe1862bfb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-03623c9f-5ba0-46a3-8d2b-e8a501f119c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03623c9f-5ba0-46a3-8d2b-e8a501f119c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f39b693-86de-4335-8209-422ef83fa843' class='xr-var-data-in' type='checkbox'><label for='data-7f39b693-86de-4335-8209-422ef83fa843' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-ES365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-95615564-2dcd-45fd-871d-615ccad7ee70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95615564-2dcd-45fd-871d-615ccad7ee70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adaa6630-098e-4201-871d-3dade659f3e4' class='xr-var-data-in' type='checkbox'><label for='data-adaa6630-098e-4201-871d-3dade659f3e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-0644a0d4-f5f9-48ea-b09c-f03a6f45638f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0644a0d4-f5f9-48ea-b09c-f03a6f45638f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14868478-fbed-4d20-b053-bb0bed4bd616' class='xr-var-data-in' type='checkbox'><label for='data-14868478-fbed-4d20-b053-bb0bed4bd616' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-777e0e43-9951-4a44-86e8-8ec672b0f5d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-777e0e43-9951-4a44-86e8-8ec672b0f5d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6ae6855-2ebb-4d29-bfab-23eff6a6f98a' class='xr-var-data-in' type='checkbox'><label for='data-f6ae6855-2ebb-4d29-bfab-23eff6a6f98a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5B-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-68683616-7ad6-4c50-a316-8d50ff82272a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68683616-7ad6-4c50-a316-8d50ff82272a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0db68ae1-111d-4dca-acc2-0c0b1b2cd1f2' class='xr-var-data-in' type='checkbox'><label for='data-0db68ae1-111d-4dca-acc2-0c0b1b2cd1f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC-ESM-CHEM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b7a76aa9-24cf-428e-a29a-94111756e84c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7a76aa9-24cf-428e-a29a-94111756e84c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75ecb66e-5f6a-4ba0-a76e-002255bef814' class='xr-var-data-in' type='checkbox'><label for='data-75ecb66e-5f6a-4ba0-a76e-002255bef814' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC-ESM-CHEM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-5b5efefc-a1ad-49a7-97cb-c9eca22b70ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b5efefc-a1ad-49a7-97cb-c9eca22b70ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b5005d-0a20-4f0e-9769-8f1a388a0747' class='xr-var-data-in' type='checkbox'><label for='data-88b5005d-0a20-4f0e-9769-8f1a388a0747' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-8ae3e86b-64bd-4788-8941-58f8879b4066' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae3e86b-64bd-4788-8941-58f8879b4066' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84bb8b13-0213-4bcf-bdea-95a0f2e9e3d6' class='xr-var-data-in' type='checkbox'><label for='data-84bb8b13-0213-4bcf-bdea-95a0f2e9e3d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-940ed882-6e1f-485d-8c6c-19fc4cdcb5c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-940ed882-6e1f-485d-8c6c-19fc4cdcb5c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1dcd2c8-183b-490e-a057-6a4d9444db0d' class='xr-var-data-in' type='checkbox'><label for='data-c1dcd2c8-183b-490e-a057-6a4d9444db0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2125ef91-f0f8-40d8-acee-5834a6fb03fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2125ef91-f0f8-40d8-acee-5834a6fb03fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e878e9bb-e4a0-4866-adbb-b1986c1a15e2' class='xr-var-data-in' type='checkbox'><label for='data-e878e9bb-e4a0-4866-adbb-b1986c1a15e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
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+       "                        <td> 103.70 GiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-a42f9d87-b6d0-4a8a-8437-e563f9570ec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a42f9d87-b6d0-4a8a-8437-e563f9570ec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9018883-122e-440f-82be-6b854f609d9f' class='xr-var-data-in' type='checkbox'><label for='data-c9018883-122e-440f-82be-6b854f609d9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MRI-CGCM3_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4c694504-598a-4c22-becc-f2a2c9df8b84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c694504-598a-4c22-becc-f2a2c9df8b84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b468039e-23da-448c-a9b3-98f8d5ccee6c' class='xr-var-data-in' type='checkbox'><label for='data-b468039e-23da-448c-a9b3-98f8d5ccee6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_bcc-csm1-1-m_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e551579a-74bb-4e8d-a6ee-e6f80003a16b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e551579a-74bb-4e8d-a6ee-e6f80003a16b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48bbe42b-d234-45a5-9918-6cdbae60830d' class='xr-var-data-in' type='checkbox'><label for='data-48bbe42b-d234-45a5-9918-6cdbae60830d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_bcc-csm1-1-m_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-61135b48-2876-4ea9-a087-b10375d8d08b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61135b48-2876-4ea9-a087-b10375d8d08b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2735009-8f56-4269-ac3d-a646a7c2b6ab' class='xr-var-data-in' type='checkbox'><label for='data-b2735009-8f56-4269-ac3d-a646a7c2b6ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_bcc-csm1-1_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-ccb8b096-0035-420d-85f4-7f7832c9f663' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccb8b096-0035-420d-85f4-7f7832c9f663' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f39f784-17bc-4177-897b-8fb90096baf2' class='xr-var-data-in' type='checkbox'><label for='data-2f39f784-17bc-4177-897b-8fb90096baf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-356a5f05-a651-4aba-a8c3-bbafca06da8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-356a5f05-a651-4aba-a8c3-bbafca06da8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8229ccab-4769-40f7-9dec-cd4427789309' class='xr-var-data-in' type='checkbox'><label for='data-8229ccab-4769-40f7-9dec-cd4427789309' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_inmcm4_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b8fe1bdf-7815-4ab8-971e-90ed7942b8f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8fe1bdf-7815-4ab8-971e-90ed7942b8f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-913fb77d-1ad3-4813-9426-fb29d075da08' class='xr-var-data-in' type='checkbox'><label for='data-913fb77d-1ad3-4813-9426-fb29d075da08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-57f9c52b-7492-46b5-9170-0f4f86773ef5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57f9c52b-7492-46b5-9170-0f4f86773ef5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa361cd9-d526-49fe-af7c-924f30ef0332' class='xr-var-data-in' type='checkbox'><label for='data-aa361cd9-d526-49fe-af7c-924f30ef0332' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-d5dfff69-04f9-427f-ab63-f26c7b566bc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5dfff69-04f9-427f-ab63-f26c7b566bc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e87a7099-271b-4f95-b621-0a7e043874d7' class='xr-var-data-in' type='checkbox'><label for='data-e87a7099-271b-4f95-b621-0a7e043874d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CNRM-CM5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-14f71cd1-37f4-4fe7-a578-328381c54549' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14f71cd1-37f4-4fe7-a578-328381c54549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1188ae94-f8e3-4cbd-b9e7-048fd161961b' class='xr-var-data-in' type='checkbox'><label for='data-1188ae94-f8e3-4cbd-b9e7-048fd161961b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CanESM2_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-174d870a-7171-430f-a3c4-e6c2f4414d07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-174d870a-7171-430f-a3c4-e6c2f4414d07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcc76d59-6944-4e79-8ae1-b88f69dda1f0' class='xr-var-data-in' type='checkbox'><label for='data-fcc76d59-6944-4e79-8ae1-b88f69dda1f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                    </tr>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c0ba349f-cb65-4439-9a0f-84a50659d782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0ba349f-cb65-4439-9a0f-84a50659d782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b42f391-3394-4246-809b-5bfac84a805a' class='xr-var-data-in' type='checkbox'><label for='data-7b42f391-3394-4246-809b-5bfac84a805a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_IPSL-CM5A-MR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-cb5d799b-b047-4455-a3c9-f22aefbc4013' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb5d799b-b047-4455-a3c9-f22aefbc4013' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67fd8b3d-cb43-438e-9dc9-808875bb6376' class='xr-var-data-in' type='checkbox'><label for='data-67fd8b3d-cb43-438e-9dc9-808875bb6376' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                    <tr>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_IPSL-CM5B-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1e2a14a0-798f-466a-8ac1-16e7eb82c930' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e2a14a0-798f-466a-8ac1-16e7eb82c930' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb279e01-4dd0-446a-badb-e421765094b5' class='xr-var-data-in' type='checkbox'><label for='data-bb279e01-4dd0-446a-badb-e421765094b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "        <td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MIROC-ESM-CHEM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-6b75d22a-61e7-4ff3-a6e8-8daf1065ecb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b75d22a-61e7-4ff3-a6e8-8daf1065ecb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a010f3a-4994-40da-a1e6-2f8652326d52' class='xr-var-data-in' type='checkbox'><label for='data-7a010f3a-4994-40da-a1e6-2f8652326d52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "        <td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MIROC-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1850dbc4-2a78-418c-82c4-e4cdd1f1f18e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1850dbc4-2a78-418c-82c4-e4cdd1f1f18e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ac038ec-67ad-4406-a4e4-dcae90fcecb0' class='xr-var-data-in' type='checkbox'><label for='data-8ac038ec-67ad-4406-a4e4-dcae90fcecb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MIROC5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-f9732240-25a6-4384-bb14-b0beeb264e42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9732240-25a6-4384-bb14-b0beeb264e42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32fbb965-e95b-48d6-9675-26559684ed76' class='xr-var-data-in' type='checkbox'><label for='data-32fbb965-e95b-48d6-9675-26559684ed76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MRI-CGCM3_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-429fff67-e1fb-49b9-b65e-49c2c2bec93e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-429fff67-e1fb-49b9-b65e-49c2c2bec93e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7a5b481-c96c-4afa-bec6-e3df8ecdfaf1' class='xr-var-data-in' type='checkbox'><label for='data-d7a5b481-c96c-4afa-bec6-e3df8ecdfaf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MRI-CGCM3_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b991668b-2648-462c-b2ab-3a2c94ef7584' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b991668b-2648-462c-b2ab-3a2c94ef7584' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-728c40cc-475b-4150-be83-7047459a94c0' class='xr-var-data-in' type='checkbox'><label for='data-728c40cc-475b-4150-be83-7047459a94c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "        <td>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-988e5fb2-5c3f-4708-9924-ebb3183de516' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988e5fb2-5c3f-4708-9924-ebb3183de516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29415ff3-2066-4074-91f1-cd29f7ad89e3' class='xr-var-data-in' type='checkbox'><label for='data-29415ff3-2066-4074-91f1-cd29f7ad89e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_bcc-csm1-1-m_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-6ad68e62-339b-4c99-883a-96a339e2f5c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ad68e62-339b-4c99-883a-96a339e2f5c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-829a16ac-cc6f-44cf-931b-3ad79483f50c' class='xr-var-data-in' type='checkbox'><label for='data-829a16ac-cc6f-44cf-931b-3ad79483f50c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1948686e-2170-49e2-8917-ed44b8d2a766' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1948686e-2170-49e2-8917-ed44b8d2a766' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-909f4347-9dcd-4edf-a91c-27d46c28d562' class='xr-var-data-in' type='checkbox'><label for='data-909f4347-9dcd-4edf-a91c-27d46c28d562' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4751924c-cf0e-48d7-a794-26c25c0697b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4751924c-cf0e-48d7-a794-26c25c0697b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e29f3aef-5ff4-4a50-bf2f-ea18af836e79' class='xr-var-data-in' type='checkbox'><label for='data-e29f3aef-5ff4-4a50-bf2f-ea18af836e79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c6b90ddb-2909-47bc-ae3b-3f4fbe514a55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6b90ddb-2909-47bc-ae3b-3f4fbe514a55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2732053e-a600-46b5-b0cc-38b4738ec18d' class='xr-var-data-in' type='checkbox'><label for='data-2732053e-a600-46b5-b0cc-38b4738ec18d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CCSM4_r6i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b0402def-c85e-4261-b5d0-7c0a93fcbe9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0402def-c85e-4261-b5d0-7c0a93fcbe9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74b29c2d-03ca-46a1-9ee1-578577b2d14f' class='xr-var-data-in' type='checkbox'><label for='data-74b29c2d-03ca-46a1-9ee1-578577b2d14f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CCSM4_r6i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-d32a9acc-d6fd-4eaf-b0af-8a2093f26505' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d32a9acc-d6fd-4eaf-b0af-8a2093f26505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bec98774-93da-49e9-95b3-2bb497424540' class='xr-var-data-in' type='checkbox'><label for='data-bec98774-93da-49e9-95b3-2bb497424540' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1bfa6ac7-fcf9-4544-87ea-8c74f00d67cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bfa6ac7-fcf9-4544-87ea-8c74f00d67cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72acdef0-52e3-4fa0-af9d-7eb94c06fd3c' class='xr-var-data-in' type='checkbox'><label for='data-72acdef0-52e3-4fa0-af9d-7eb94c06fd3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CSIRO-Mk3-6-0_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-844bd959-95c3-46fa-b6eb-08a23576a7d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-844bd959-95c3-46fa-b6eb-08a23576a7d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b97ea8e-b6d7-4f6a-bb41-f8fba5dd9162' class='xr-var-data-in' type='checkbox'><label for='data-1b97ea8e-b6d7-4f6a-bb41-f8fba5dd9162' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CanESM2_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-093f6794-4a27-4bf2-8f20-9ced55873b44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-093f6794-4a27-4bf2-8f20-9ced55873b44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7858895c-3f3a-4291-a260-5bff2c395f69' class='xr-var-data-in' type='checkbox'><label for='data-7858895c-3f3a-4291-a260-5bff2c395f69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CanESM2_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4916cef8-a784-4301-9bc9-410b955fa711' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4916cef8-a784-4301-9bc9-410b955fa711' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a22c677c-347b-44b4-8aba-d41434ab556e' class='xr-var-data-in' type='checkbox'><label for='data-a22c677c-347b-44b4-8aba-d41434ab556e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <th> Array </th>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c7b19566-d3dd-4fef-bacd-abe1798f2d06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7b19566-d3dd-4fef-bacd-abe1798f2d06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f804d42-4aec-4673-b6da-323b24aab1d8' class='xr-var-data-in' type='checkbox'><label for='data-0f804d42-4aec-4673-b6da-323b24aab1d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2fe0ebff-5df1-4915-9d02-1e758d610cfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fe0ebff-5df1-4915-9d02-1e758d610cfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02c2e77c-5474-422b-82be-520bd64f8dee' class='xr-var-data-in' type='checkbox'><label for='data-02c2e77c-5474-422b-82be-520bd64f8dee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_GFDL-ESM2M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-856c5f8b-a4ad-4281-9db8-6d26384c7a36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-856c5f8b-a4ad-4281-9db8-6d26384c7a36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd5a5505-fc93-4319-a018-48c522851c21' class='xr-var-data-in' type='checkbox'><label for='data-cd5a5505-fc93-4319-a018-48c522851c21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_HadGEM2-CC365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-5124a8e4-c956-4b39-a88d-c20e2b9e1d5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5124a8e4-c956-4b39-a88d-c20e2b9e1d5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa694d2d-981d-4cc6-988e-ce07de88ced1' class='xr-var-data-in' type='checkbox'><label for='data-aa694d2d-981d-4cc6-988e-ce07de88ced1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
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+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1b298bb8-25f3-4721-beea-83a9f5afb3b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b298bb8-25f3-4721-beea-83a9f5afb3b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5fc7bb2-818b-47cf-92f1-bdce40e98d92' class='xr-var-data-in' type='checkbox'><label for='data-b5fc7bb2-818b-47cf-92f1-bdce40e98d92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-3340f311-0126-4a7a-a73c-eba9f96e4a07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3340f311-0126-4a7a-a73c-eba9f96e4a07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37760102-0aed-40fe-88fa-ea089a672b14' class='xr-var-data-in' type='checkbox'><label for='data-37760102-0aed-40fe-88fa-ea089a672b14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5B-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-130a420c-592d-4f51-b774-579bb132a2f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-130a420c-592d-4f51-b774-579bb132a2f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abb272eb-0dae-4da3-9007-e003324b010b' class='xr-var-data-in' type='checkbox'><label for='data-abb272eb-0dae-4da3-9007-e003324b010b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
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+       "                    <tr>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MIROC5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-34410400-c31c-4332-aafa-62bf1a6d5645' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34410400-c31c-4332-aafa-62bf1a6d5645' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fc6d6fd-4899-4dda-9a8d-958f123ad816' class='xr-var-data-in' type='checkbox'><label for='data-4fc6d6fd-4899-4dda-9a8d-958f123ad816' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
+       "                    \n",
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+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
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+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Shape </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "    <tr>\n",
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+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-33663f51-fe4b-424b-9ca8-e5b47bc9c83f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33663f51-fe4b-424b-9ca8-e5b47bc9c83f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5a71cf6-94d7-40af-ac65-3405b1e2071f' class='xr-var-data-in' type='checkbox'><label for='data-c5a71cf6-94d7-40af-ac65-3405b1e2071f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CCSM4_r6i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-35f31da4-fa26-4aea-b06c-284cb83b90c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35f31da4-fa26-4aea-b06c-284cb83b90c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f204f08-1445-4efc-a24f-c8089826853f' class='xr-var-data-in' type='checkbox'><label for='data-2f204f08-1445-4efc-a24f-c8089826853f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-924c5a50-27b9-48ed-b445-5161d4cb103e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-924c5a50-27b9-48ed-b445-5161d4cb103e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8206cd19-6bee-4e44-ade2-cd6293c173f1' class='xr-var-data-in' type='checkbox'><label for='data-8206cd19-6bee-4e44-ade2-cd6293c173f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CanESM2_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e70c677f-891d-4ef8-8189-ef7e0c8c6b5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e70c677f-891d-4ef8-8189-ef7e0c8c6b5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aba087b-bcdf-4793-a4eb-3b02281e8e8d' class='xr-var-data-in' type='checkbox'><label for='data-4aba087b-bcdf-4793-a4eb-3b02281e8e8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_GFDL-ESM2G_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4ad06f97-4fdb-4bdc-b1c9-fcd5865929f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ad06f97-4fdb-4bdc-b1c9-fcd5865929f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17113511-6d96-4e6f-97ac-7b3abb79f132' class='xr-var-data-in' type='checkbox'><label for='data-17113511-6d96-4e6f-97ac-7b3abb79f132' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-277c357e-7f60-4c0b-86eb-73ccfa79c7eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-277c357e-7f60-4c0b-86eb-73ccfa79c7eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e9d1c25-0839-4b41-8482-c12347308cb2' class='xr-var-data-in' type='checkbox'><label for='data-0e9d1c25-0839-4b41-8482-c12347308cb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_HadGEM2-CC365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-60ea52da-5525-4afd-864d-2656ad8c0f55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60ea52da-5525-4afd-864d-2656ad8c0f55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b892c29-2a3c-4972-afa6-437cd329d307' class='xr-var-data-in' type='checkbox'><label for='data-9b892c29-2a3c-4972-afa6-437cd329d307' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_HadGEM2-CC365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-42639ae1-36c1-49cf-a0b2-d202ea1f94d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42639ae1-36c1-49cf-a0b2-d202ea1f94d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-367515fe-6be7-4766-a939-f882007a1b2b' class='xr-var-data-in' type='checkbox'><label for='data-367515fe-6be7-4766-a939-f882007a1b2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-12036621-47ac-4f3a-9226-0cf2fdc6a571' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12036621-47ac-4f3a-9226-0cf2fdc6a571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2129bc9-967c-47b5-bd7c-00f9cce85622' class='xr-var-data-in' type='checkbox'><label for='data-b2129bc9-967c-47b5-bd7c-00f9cce85622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_HadGEM2-ES365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-87c63674-b790-4f5d-a403-04db6b1d964b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87c63674-b790-4f5d-a403-04db6b1d964b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b4f5ad6-0da7-4a43-9865-4d5e836aa6c5' class='xr-var-data-in' type='checkbox'><label for='data-0b4f5ad6-0da7-4a43-9865-4d5e836aa6c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-18a5e76a-4c7a-442a-8d96-19589fa3b962' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18a5e76a-4c7a-442a-8d96-19589fa3b962' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d6dda4a-2470-4343-abde-ac9f308f244c' class='xr-var-data-in' type='checkbox'><label for='data-1d6dda4a-2470-4343-abde-ac9f308f244c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5A-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-8e643b69-2a5c-4ad0-8881-0cfbba98f174' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e643b69-2a5c-4ad0-8881-0cfbba98f174' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99f7f4e9-48b0-494f-8d4b-154ada80d480' class='xr-var-data-in' type='checkbox'><label for='data-99f7f4e9-48b0-494f-8d4b-154ada80d480' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5A-MR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-14826c3f-e30d-4b05-8abd-f6af778728f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14826c3f-e30d-4b05-8abd-f6af778728f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75aff218-1de4-48be-88c7-36994299f6d2' class='xr-var-data-in' type='checkbox'><label for='data-75aff218-1de4-48be-88c7-36994299f6d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5B-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-253d03f1-920d-4ed2-bf30-ad0501360ec0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-253d03f1-920d-4ed2-bf30-ad0501360ec0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a391fcc-f636-4e7e-9410-77ccfad265ea' class='xr-var-data-in' type='checkbox'><label for='data-7a391fcc-f636-4e7e-9410-77ccfad265ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "        <td>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MIROC-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e88687b3-6367-47fc-9408-b276b736fc53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e88687b3-6367-47fc-9408-b276b736fc53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acd473e6-b529-4499-8aa7-9ae0b90927ec' class='xr-var-data-in' type='checkbox'><label for='data-acd473e6-b529-4499-8aa7-9ae0b90927ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MIROC5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-eb519cff-c7a2-474a-9b04-61c1f515c752' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb519cff-c7a2-474a-9b04-61c1f515c752' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98ea9c91-5911-4706-89f6-feaa0f7cf29a' class='xr-var-data-in' type='checkbox'><label for='data-98ea9c91-5911-4706-89f6-feaa0f7cf29a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MRI-CGCM3_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-ded39815-7990-4def-9da1-c5228980aed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ded39815-7990-4def-9da1-c5228980aed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c1182a0-f460-4e49-bab5-590aeda61a0f' class='xr-var-data-in' type='checkbox'><label for='data-8c1182a0-f460-4e49-bab5-590aeda61a0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MRI-CGCM3_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-90b50a19-8910-4bb8-a79d-2508f2cb7f4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90b50a19-8910-4bb8-a79d-2508f2cb7f4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69cd9747-1a8b-436f-b765-95c54d18f70e' class='xr-var-data-in' type='checkbox'><label for='data-69cd9747-1a8b-436f-b765-95c54d18f70e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-60beb6db-fa61-4983-abc6-217ef8e6c6cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60beb6db-fa61-4983-abc6-217ef8e6c6cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e97f7573-0b6a-4d64-9810-a4c905913c86' class='xr-var-data-in' type='checkbox'><label for='data-e97f7573-0b6a-4d64-9810-a4c905913c86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_bcc-csm1-1_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-3d13102e-39cc-4f4c-9dcf-a8626a8aa4c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d13102e-39cc-4f4c-9dcf-a8626a8aa4c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80bfeec2-b312-4099-978b-b035c098ec73' class='xr-var-data-in' type='checkbox'><label for='data-80bfeec2-b312-4099-978b-b035c098ec73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e17b0bca-e565-4420-89a5-385c64671b48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e17b0bca-e565-4420-89a5-385c64671b48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5752c9aa-1c85-43f8-825f-e7a761233b39' class='xr-var-data-in' type='checkbox'><label for='data-5752c9aa-1c85-43f8-825f-e7a761233b39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_inmcm4_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-28ba349e-57cb-4b1a-a472-467831e987d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28ba349e-57cb-4b1a-a472-467831e987d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3999f648-23ab-41af-8020-0ca47060a89d' class='xr-var-data-in' type='checkbox'><label for='data-3999f648-23ab-41af-8020-0ca47060a89d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-cd9e296f-7013-4514-a413-9b2326bd0440' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd9e296f-7013-4514-a413-9b2326bd0440' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-603219ee-b8b5-4d10-ae31-c1fc35ede338' class='xr-var-data-in' type='checkbox'><label for='data-603219ee-b8b5-4d10-ae31-c1fc35ede338' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2e5a7a27-8d7e-4ec9-81e5-07657e5134df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e5a7a27-8d7e-4ec9-81e5-07657e5134df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c6494f7-2f84-41d2-a5e4-9d82b224a792' class='xr-var-data-in' type='checkbox'><label for='data-0c6494f7-2f84-41d2-a5e4-9d82b224a792' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-789872c2-754b-4974-a3c7-fa2bf66eb250' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-789872c2-754b-4974-a3c7-fa2bf66eb250' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc393b2f-8214-4201-ad00-d1abd7fa745f' class='xr-var-data-in' type='checkbox'><label for='data-fc393b2f-8214-4201-ad00-d1abd7fa745f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CCSM4_r6i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-11422953-e931-48ac-8448-b39ee75501d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11422953-e931-48ac-8448-b39ee75501d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-287777f9-3709-4fd1-91bb-5e243d1deda2' class='xr-var-data-in' type='checkbox'><label for='data-287777f9-3709-4fd1-91bb-5e243d1deda2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CCSM4_r6i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-fcedf53e-f443-4293-9a69-93ccbe3f9bb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcedf53e-f443-4293-9a69-93ccbe3f9bb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1be02f19-6cbe-407d-963d-c03c429aa0d2' class='xr-var-data-in' type='checkbox'><label for='data-1be02f19-6cbe-407d-963d-c03c429aa0d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-f318f0e7-dbf6-423d-a622-d91e129e9105' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f318f0e7-dbf6-423d-a622-d91e129e9105' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-391a60a9-d446-46af-9c26-04426285ba0d' class='xr-var-data-in' type='checkbox'><label for='data-391a60a9-d446-46af-9c26-04426285ba0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-ef1cc4a1-b18c-4dc2-8721-44fb11179449' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef1cc4a1-b18c-4dc2-8721-44fb11179449' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b41bb970-0e00-4e9f-ad22-7d90138d2c04' class='xr-var-data-in' type='checkbox'><label for='data-b41bb970-0e00-4e9f-ad22-7d90138d2c04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CSIRO-Mk3-6-0_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c6d3edae-4321-4f8c-b260-5e9bc6a232a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6d3edae-4321-4f8c-b260-5e9bc6a232a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-779f3769-9ae7-4b9a-b090-34404dd681dc' class='xr-var-data-in' type='checkbox'><label for='data-779f3769-9ae7-4b9a-b090-34404dd681dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CanESM2_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2657f424-439a-4f42-9231-1e0464e7d6f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2657f424-439a-4f42-9231-1e0464e7d6f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae07b642-6752-44cf-bac9-6ec4f22acc83' class='xr-var-data-in' type='checkbox'><label for='data-ae07b642-6752-44cf-bac9-6ec4f22acc83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CanESM2_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-74783574-934f-4d98-84df-183ea278f41f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74783574-934f-4d98-84df-183ea278f41f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4af0990-0671-4ca2-a66c-9fb5246db75d' class='xr-var-data-in' type='checkbox'><label for='data-f4af0990-0671-4ca2-a66c-9fb5246db75d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2G_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c49f6038-10da-4f8c-8099-778d1cb245db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49f6038-10da-4f8c-8099-778d1cb245db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc81a2cd-0db3-4a53-814e-95c3fe8fd639' class='xr-var-data-in' type='checkbox'><label for='data-cc81a2cd-0db3-4a53-814e-95c3fe8fd639' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c3f5b52e-9fe1-449a-a384-f9598cd9a25a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3f5b52e-9fe1-449a-a384-f9598cd9a25a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f14c4303-dad1-4147-9e8c-7d41db569dbf' class='xr-var-data-in' type='checkbox'><label for='data-f14c4303-dad1-4147-9e8c-7d41db569dbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b6097dab-d8d0-43cc-81bb-55c64feaaf83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6097dab-d8d0-43cc-81bb-55c64feaaf83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d82492fa-c62f-436e-b206-3aef18d2f1a2' class='xr-var-data-in' type='checkbox'><label for='data-d82492fa-c62f-436e-b206-3aef18d2f1a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-9f751f9e-d0bf-4310-9e68-932719a34d10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f751f9e-d0bf-4310-9e68-932719a34d10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3702c8f0-db86-4dc2-a1a4-c6e14b36b9e1' class='xr-var-data-in' type='checkbox'><label for='data-3702c8f0-db86-4dc2-a1a4-c6e14b36b9e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-CC365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-dadd99e4-b963-4929-a71a-eda6830f1528' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dadd99e4-b963-4929-a71a-eda6830f1528' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16f74936-98f7-4ae5-8d6b-07bda0c8d956' class='xr-var-data-in' type='checkbox'><label for='data-16f74936-98f7-4ae5-8d6b-07bda0c8d956' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-CC365_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-506ec04c-c717-4c7f-baac-d2d7e45c9f7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-506ec04c-c717-4c7f-baac-d2d7e45c9f7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88c28fc2-f5ac-42cc-a3f5-4c0151d10c7b' class='xr-var-data-in' type='checkbox'><label for='data-88c28fc2-f5ac-42cc-a3f5-4c0151d10c7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-cb0fce8a-eec3-4b85-bd29-8a30cbed79f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb0fce8a-eec3-4b85-bd29-8a30cbed79f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ac181ce-b2c1-478e-a16d-2b8cd2b2905f' class='xr-var-data-in' type='checkbox'><label for='data-2ac181ce-b2c1-478e-a16d-2b8cd2b2905f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c2ea9d4c-274a-4ea0-a7be-75400d38bb8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2ea9d4c-274a-4ea0-a7be-75400d38bb8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28cd7556-72aa-4099-9c6a-7680383fda82' class='xr-var-data-in' type='checkbox'><label for='data-28cd7556-72aa-4099-9c6a-7680383fda82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5A-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-8e6beb4c-7e30-4834-b82f-fe36af79fbff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e6beb4c-7e30-4834-b82f-fe36af79fbff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8053fba-14ed-4419-b75a-cd7995c55509' class='xr-var-data-in' type='checkbox'><label for='data-c8053fba-14ed-4419-b75a-cd7995c55509' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-8119b207-b7c4-4a35-83a6-c66d6ca7f006' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8119b207-b7c4-4a35-83a6-c66d6ca7f006' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b482f8c-3133-401f-8735-a85ba6ef48e3' class='xr-var-data-in' type='checkbox'><label for='data-2b482f8c-3133-401f-8735-a85ba6ef48e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5B-LR_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-6391b3ba-9381-4958-8980-0eecc0b29830' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6391b3ba-9381-4958-8980-0eecc0b29830' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f282849d-daa6-4bb0-bce9-6ed81e0afbac' class='xr-var-data-in' type='checkbox'><label for='data-f282849d-daa6-4bb0-bce9-6ed81e0afbac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM-CHEM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4a37e44e-04b4-4e62-9867-e106ada1b278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a37e44e-04b4-4e62-9867-e106ada1b278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc644e73-9279-4fff-af98-95a0c44a2a23' class='xr-var-data-in' type='checkbox'><label for='data-cc644e73-9279-4fff-af98-95a0c44a2a23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM-CHEM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-3bb0eeec-0be5-40b5-9bd6-3f6accc5573e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb0eeec-0be5-40b5-9bd6-3f6accc5573e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23130d29-481e-40b9-b0ec-08a787a8404c' class='xr-var-data-in' type='checkbox'><label for='data-23130d29-481e-40b9-b0ec-08a787a8404c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-4cc30254-6161-49d5-b69d-d86c56f1aee9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cc30254-6161-49d5-b69d-d86c56f1aee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24a6640a-7fad-414b-8a02-f7ccf3f4a793' class='xr-var-data-in' type='checkbox'><label for='data-24a6640a-7fad-414b-8a02-f7ccf3f4a793' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-159b54f0-bbf5-4732-adca-ab8e73954c1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-159b54f0-bbf5-4732-adca-ab8e73954c1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a663a628-f892-46ff-94b5-aa77073b9006' class='xr-var-data-in' type='checkbox'><label for='data-a663a628-f892-46ff-94b5-aa77073b9006' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-68c6c60f-03a6-4e4b-a7a5-eb2a76d57f21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68c6c60f-03a6-4e4b-a7a5-eb2a76d57f21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9e0b786-5b4d-4eb8-a1a8-d20fc6618027' class='xr-var-data-in' type='checkbox'><label for='data-e9e0b786-5b4d-4eb8-a1a8-d20fc6618027' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MRI-CGCM3_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e0fbb9ec-e48b-4e73-98c6-b60d8d76ebf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0fbb9ec-e48b-4e73-98c6-b60d8d76ebf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fbc1358-def2-469d-a075-93dcf4beea7c' class='xr-var-data-in' type='checkbox'><label for='data-4fbc1358-def2-469d-a075-93dcf4beea7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MRI-CGCM3_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-bbaad9b8-de73-4483-bc18-369a228ee990' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbaad9b8-de73-4483-bc18-369a228ee990' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c0f9e62-51ae-441d-bf46-a35f5135f91b' class='xr-var-data-in' type='checkbox'><label for='data-4c0f9e62-51ae-441d-bf46-a35f5135f91b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_NorESM1-M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e1e248dd-a288-4ccd-bc27-318bbde611fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1e248dd-a288-4ccd-bc27-318bbde611fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29dbb1ab-f292-4bd4-99a6-27e9819bc791' class='xr-var-data-in' type='checkbox'><label for='data-29dbb1ab-f292-4bd4-99a6-27e9819bc791' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-1196db9f-da87-4854-8af1-04e0833709f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1196db9f-da87-4854-8af1-04e0833709f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4780b8f1-c542-4a57-806e-647f2efb7cb1' class='xr-var-data-in' type='checkbox'><label for='data-4780b8f1-c542-4a57-806e-647f2efb7cb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_bcc-csm1-1-m_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-8f903cdf-4f1e-4b69-b7bf-3edb92e5d431' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f903cdf-4f1e-4b69-b7bf-3edb92e5d431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e05e1e20-66cf-4f24-b069-7e4e868e637f' class='xr-var-data-in' type='checkbox'><label for='data-e05e1e20-66cf-4f24-b069-7e4e868e637f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-99ed02dc-a8d1-4fcb-a2a7-e0dc4965484a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99ed02dc-a8d1-4fcb-a2a7-e0dc4965484a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04eae961-cbd5-4c78-bc07-973b28864802' class='xr-var-data-in' type='checkbox'><label for='data-04eae961-cbd5-4c78-bc07-973b28864802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_BNU-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-51b57efd-1c25-40b9-97e1-840b8e4df03c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51b57efd-1c25-40b9-97e1-840b8e4df03c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56e2bc61-d2d5-48e1-8fb4-0b73d76908f0' class='xr-var-data-in' type='checkbox'><label for='data-56e2bc61-d2d5-48e1-8fb4-0b73d76908f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_BNU-ESM_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-c5fc0c57-ff21-4887-a31e-aba6c23b2d25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5fc0c57-ff21-4887-a31e-aba6c23b2d25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52bf0ca1-b985-418f-a7e5-c8c35be82fac' class='xr-var-data-in' type='checkbox'><label for='data-52bf0ca1-b985-418f-a7e5-c8c35be82fac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CCSM4_r6i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-dbca3c48-2c2f-4c1f-a519-1c4dc69dfe09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbca3c48-2c2f-4c1f-a519-1c4dc69dfe09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-249842f7-d118-4975-bda9-9bccd94ec49e' class='xr-var-data-in' type='checkbox'><label for='data-249842f7-d118-4975-bda9-9bccd94ec49e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CCSM4_r6i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-027b4cc4-c894-4402-ba0c-1a418250b5ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-027b4cc4-c894-4402-ba0c-1a418250b5ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcd7103c-6720-4792-a271-6f08f98afdca' class='xr-var-data-in' type='checkbox'><label for='data-fcd7103c-6720-4792-a271-6f08f98afdca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CNRM-CM5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b3c163c2-d52b-4d4b-b6c0-623fa4c06f94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3c163c2-d52b-4d4b-b6c0-623fa4c06f94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d5f73f1-e517-4c57-80b0-eecc65ab8384' class='xr-var-data-in' type='checkbox'><label for='data-8d5f73f1-e517-4c57-80b0-eecc65ab8384' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CNRM-CM5_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-0d6a8d80-33ed-43fe-8ea3-efa63aa22942' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d6a8d80-33ed-43fe-8ea3-efa63aa22942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31a27ca3-88aa-408c-ac8b-0df936dc6dd3' class='xr-var-data-in' type='checkbox'><label for='data-31a27ca3-88aa-408c-ac8b-0df936dc6dd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CSIRO-Mk3-6-0_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-a1109b06-59dd-4610-ae9e-45ee3ad2fb3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1109b06-59dd-4610-ae9e-45ee3ad2fb3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e224d1-8dd8-4a00-8026-9956ee80a1d7' class='xr-var-data-in' type='checkbox'><label for='data-95e224d1-8dd8-4a00-8026-9956ee80a1d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CSIRO-Mk3-6-0_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e19df060-a630-43c6-8d35-867dddc1586c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e19df060-a630-43c6-8d35-867dddc1586c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0e0d633-3fff-4c8f-ad7d-cf6aa05d8d85' class='xr-var-data-in' type='checkbox'><label for='data-d0e0d633-3fff-4c8f-ad7d-cf6aa05d8d85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CanESM2_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-10918617-b2a5-48b7-a9fe-2e1c9d2353f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10918617-b2a5-48b7-a9fe-2e1c9d2353f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ad61f23-2960-4a45-9f0f-7ca35213e7e4' class='xr-var-data-in' type='checkbox'><label for='data-9ad61f23-2960-4a45-9f0f-7ca35213e7e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CanESM2_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-6a7b5978-c14e-49ac-909f-b48b471881ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a7b5978-c14e-49ac-909f-b48b471881ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-586895be-1de2-4538-bdde-80c8615ecfed' class='xr-var-data-in' type='checkbox'><label for='data-586895be-1de2-4538-bdde-80c8615ecfed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2G_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-03c59235-606b-47a1-9709-7045aa73b72e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03c59235-606b-47a1-9709-7045aa73b72e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31649e6a-1e39-4035-8f8f-8da8e2d3865b' class='xr-var-data-in' type='checkbox'><label for='data-31649e6a-1e39-4035-8f8f-8da8e2d3865b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2G_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-5a7ac9c8-0ab1-4869-b98c-5e1f3afcc9ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a7ac9c8-0ab1-4869-b98c-5e1f3afcc9ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15b8ef1c-3ed8-4ad1-8211-9a16771b2ed7' class='xr-var-data-in' type='checkbox'><label for='data-15b8ef1c-3ed8-4ad1-8211-9a16771b2ed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2ed8f1ec-cccd-4396-ab14-bed1b7db1ab7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ed8f1ec-cccd-4396-ab14-bed1b7db1ab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e8d9ef-9046-4501-91c5-df673f3fe90e' class='xr-var-data-in' type='checkbox'><label for='data-b9e8d9ef-9046-4501-91c5-df673f3fe90e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-b71e00fd-83fe-4cda-a31b-a22afbc671a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b71e00fd-83fe-4cda-a31b-a22afbc671a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1954d08f-375e-486a-9c53-d8509932e54c' class='xr-var-data-in' type='checkbox'><label for='data-1954d08f-375e-486a-9c53-d8509932e54c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_HadGEM2-CC365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-9a07f4b5-5d12-4880-b980-09f669c79f41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a07f4b5-5d12-4880-b980-09f669c79f41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4b7a685-fd88-4d21-8f03-47c1d08f6c80' class='xr-var-data-in' type='checkbox'><label for='data-f4b7a685-fd88-4d21-8f03-47c1d08f6c80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_HadGEM2-ES365_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e2e35f55-8492-4639-b212-7f6f152b45af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2e35f55-8492-4639-b212-7f6f152b45af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d82fc5c9-cb54-40da-a087-9cba7bcb4ec9' class='xr-var-data-in' type='checkbox'><label for='data-d82fc5c9-cb54-40da-a087-9cba7bcb4ec9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5A-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-e8e05a1f-5f4c-4c61-ad74-6cb464254399' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8e05a1f-5f4c-4c61-ad74-6cb464254399' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0e07f10-b7fa-4c1a-97b4-114a1df7717b' class='xr-var-data-in' type='checkbox'><label for='data-d0e07f10-b7fa-4c1a-97b4-114a1df7717b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5A-MR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-239b42ca-0955-4bb6-a475-8731ed0e0908' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-239b42ca-0955-4bb6-a475-8731ed0e0908' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e6333d7-4136-4e76-bb42-f6e0504fbaf6' class='xr-var-data-in' type='checkbox'><label for='data-3e6333d7-4136-4e76-bb42-f6e0504fbaf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5B-LR_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-288d7e5a-47cb-4268-aaf3-f647942871a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-288d7e5a-47cb-4268-aaf3-f647942871a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c317f2f8-da32-42dd-9a52-ddf8da7146dc' class='xr-var-data-in' type='checkbox'><label for='data-c317f2f8-da32-42dd-9a52-ddf8da7146dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM-CHEM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-11768aa0-65d7-4891-a344-2a85ab21edf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11768aa0-65d7-4891-a344-2a85ab21edf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39932092-0a95-4f1e-86ae-147fae3be288' class='xr-var-data-in' type='checkbox'><label for='data-39932092-0a95-4f1e-86ae-147fae3be288' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-cdf0c344-dd1a-4d97-b886-8f9c0431756d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdf0c344-dd1a-4d97-b886-8f9c0431756d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94aa3a5c-a63a-42fa-873a-e1589e6fed0e' class='xr-var-data-in' type='checkbox'><label for='data-94aa3a5c-a63a-42fa-873a-e1589e6fed0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC5_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-53ad091d-f8bc-47df-bf94-3df748e6a2c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53ad091d-f8bc-47df-bf94-3df748e6a2c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bd97c09-b746-4631-a868-34ff1c23c58e' class='xr-var-data-in' type='checkbox'><label for='data-6bd97c09-b746-4631-a868-34ff1c23c58e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
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+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MRI-CGCM3_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-56eab404-65ee-435d-abac-a2c99e331bab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56eab404-65ee-435d-abac-a2c99e331bab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a495ffe3-e74f-4cf8-ba6b-0e184fd1ddb6' class='xr-var-data-in' type='checkbox'><label for='data-a495ffe3-e74f-4cf8-ba6b-0e184fd1ddb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_NorESM1-M_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-f6a51f06-e617-4e90-910b-b7123fa51b23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6a51f06-e617-4e90-910b-b7123fa51b23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8a6ffd6-ae2f-4c54-bfe6-a07168ead45b' class='xr-var-data-in' type='checkbox'><label for='data-b8a6ffd6-ae2f-4c54-bfe6-a07168ead45b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_NorESM1-M_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-6731106c-c65e-4b9b-9405-8e1eec56ba48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6731106c-c65e-4b9b-9405-8e1eec56ba48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9277b56-5802-4b4c-88e5-a93e3a82a4b5' class='xr-var-data-in' type='checkbox'><label for='data-d9277b56-5802-4b4c-88e5-a93e3a82a4b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_bcc-csm1-1-m_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-75febbad-bd2b-4292-8815-8ade3cccc7b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75febbad-bd2b-4292-8815-8ade3cccc7b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90c01b14-b103-4d53-80dc-80d36612003a' class='xr-var-data-in' type='checkbox'><label for='data-90c01b14-b103-4d53-80dc-80d36612003a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_bcc-csm1-1_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-861c0027-f454-4e32-9be3-463c3c36be45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-861c0027-f454-4e32-9be3-463c3c36be45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d0ed6f4-a0de-4176-b21a-8711d66e80e1' class='xr-var-data-in' type='checkbox'><label for='data-3d0ed6f4-a0de-4176-b21a-8711d66e80e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_bcc-csm1-1_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-fa87a519-0ce2-463f-9d8d-0d0aa8c89d1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa87a519-0ce2-463f-9d8d-0d0aa8c89d1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-041a95c2-94e2-4b94-b60e-c31a685fce91' class='xr-var-data-in' type='checkbox'><label for='data-041a95c2-94e2-4b94-b60e-c31a685fce91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_inmcm4_r1i1p1_rcp45</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-6e814823-11dc-4a67-b664-06274f0d7777' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e814823-11dc-4a67-b664-06274f0d7777' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6adefa29-7c23-4e6e-a849-d895e18144e2' class='xr-var-data-in' type='checkbox'><label for='data-6adefa29-7c23-4e6e-a849-d895e18144e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_inmcm4_r1i1p1_rcp85</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(745, 86, 204), meta=np.ndarray&gt;</div><input id='attrs-2d6c949c-1b4e-43cc-843c-c297ffbc971f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d6c949c-1b4e-43cc-843c-c297ffbc971f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51653a7a-3087-43fa-b1be-4c7d922b2a3f' class='xr-var-data-in' type='checkbox'><label for='data-51653a7a-3087-43fa-b1be-4c7d922b2a3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 103.70 GiB </td>\n",
+       "                        <td> 49.86 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (34333, 585, 1386) </td>\n",
+       "                        <td> (745, 86, 204) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2303 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-307ef9ad-46e9-429c-b28e-cbb849a176b0' class='xr-section-summary-in' type='checkbox'  ><label for='section-307ef9ad-46e9-429c-b28e-cbb849a176b0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-604dfdb5-ea98-450d-8e4a-d8ecb137bfc1' class='xr-index-data-in' type='checkbox'/><label for='index-604dfdb5-ea98-450d-8e4a-d8ecb137bfc1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([25.063077926635742,  25.10474395751953,  25.14640998840332,\n",
+       "        25.18807601928711,   25.2297420501709, 25.271408081054688,\n",
+       "       25.313074111938477, 25.354740142822266, 25.396406173706055,\n",
+       "       25.438072204589844,\n",
+       "       ...\n",
+       "        49.02103042602539,  49.06269454956055,  49.10436248779297,\n",
+       "       49.146026611328125,  49.18769454956055,   49.2293586730957,\n",
+       "       49.271026611328125,  49.31269073486328,   49.3543586730957,\n",
+       "        49.39602279663086],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=585))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2437337f-f5f6-428a-9419-5bb6e0d66107' class='xr-index-data-in' type='checkbox'/><label for='index-2437337f-f5f6-428a-9419-5bb6e0d66107' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([235.22784423828125, 235.26950073242188,  235.3111572265625,\n",
+       "       235.35284423828125, 235.39450073242188,  235.4361572265625,\n",
+       "        235.4778289794922, 235.51950073242188,  235.5611572265625,\n",
+       "        235.6028289794922,\n",
+       "       ...\n",
+       "       292.56024169921875,  292.6019287109375,  292.6435852050781,\n",
+       "       292.68524169921875,  292.7269287109375,  292.7685852050781,\n",
+       "       292.81024169921875,  292.8519287109375,  292.8935852050781,\n",
+       "       292.93524169921875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1386))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f705aaa0-6fc8-4ba3-aa24-fc85d655efad' class='xr-index-data-in' type='checkbox'/><label for='index-f705aaa0-6fc8-4ba3-aa24-fc85d655efad' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2006-01-01&#x27;, &#x27;2006-01-02&#x27;, &#x27;2006-01-03&#x27;, &#x27;2006-01-04&#x27;,\n",
+       "               &#x27;2006-01-05&#x27;, &#x27;2006-01-06&#x27;, &#x27;2006-01-07&#x27;, &#x27;2006-01-08&#x27;,\n",
+       "               &#x27;2006-01-09&#x27;, &#x27;2006-01-10&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2099-12-22&#x27;, &#x27;2099-12-23&#x27;, &#x27;2099-12-24&#x27;, &#x27;2099-12-25&#x27;,\n",
+       "               &#x27;2099-12-26&#x27;, &#x27;2099-12-27&#x27;, &#x27;2099-12-28&#x27;, &#x27;2099-12-29&#x27;,\n",
+       "               &#x27;2099-12-30&#x27;, &#x27;2099-12-31&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=34333, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f8861a7-99a9-4885-8e94-053a9e4006d5' class='xr-section-summary-in' type='checkbox'  ><label for='section-8f8861a7-99a9-4885-8e94-053a9e4006d5' class='xr-section-summary' >Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Metadata_Link :</span></dt><dd></dd><dt><span>cdm_data_type :</span></dt><dd>GRID</dd><dt><span>comment :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>contributor_name :</span></dt><dd>Katherine C. Hegewisch</dd><dt><span>contributor_role :</span></dt><dd>Postdoctoral Fellow</dd><dt><span>creator_email :</span></dt><dd>jabatzoglou@uidaho.edu</dd><dt><span>creator_name :</span></dt><dd>John Abatzoglou</dd><dt><span>creator_url :</span></dt><dd>http://maca.northwestknowledge.net</dd><dt><span>date_created :</span></dt><dd>2014-05-15</dd><dt><span>date_issued :</span></dt><dd>2014-05-15</dd><dt><span>date_modified :</span></dt><dd>2014-05-15</dd><dt><span>description :</span></dt><dd>Multivariate Adaptive Constructed Analogs (MACA) method, version 2.3,Dec 2013.</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-124.7722 25.0631,-124.7722 49.3960, -67.0648 49.3960,-67.0648, 25.0631, -124.7722,25.0631))</dd><dt><span>geospatial_lat_max :</span></dt><dd>49.3960</dd><dt><span>geospatial_lat_min :</span></dt><dd>25.0631</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lat_units :</span></dt><dd>decimal degrees north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-67.0648</dd><dt><span>geospatial_lon_min :</span></dt><dd>-124.7722</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lon_units :</span></dt><dd>decimal degrees east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.0</dd><dt><span>history :</span></dt><dd>No revisions.</dd><dt><span>id :</span></dt><dd>MACAv2-METDATA</dd><dt><span>institution :</span></dt><dd>University of Idaho</dd><dt><span>keywords :</span></dt><dd>daily precipitation, daily maximum temperature, daily minimum temperature, daily downward shortwave solar radiation, daily specific humidity, daily wind velocity, CMIP5, Gridded Meteorological Data</dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>license :</span></dt><dd>Creative Commons CC0 1.0 Universal Dedication(http://creativecommons.org/publicdomain/zero/1.0/legalcode)</dd><dt><span>naming_authority :</span></dt><dd>edu.uidaho.reacch</dd><dt><span>processing_level :</span></dt><dd>GRID</dd><dt><span>project :</span></dt><dd></dd><dt><span>publisher_email :</span></dt><dd></dd><dt><span>publisher_name :</span></dt><dd></dd><dt><span>publisher_url :</span></dt><dd></dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.0</dd><dt><span>summary :</span></dt><dd>This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin)precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modellers.</dd><dt><span>time_coverage_duration :</span></dt><dd>P5Y</dd><dt><span>time_coverage_end :</span></dt><dd>2010-12-31T00:00</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>time_coverage_start :</span></dt><dd>2006-01-01T00:0</dd><dt><span>title :</span></dt><dd>Downscaled daily meteorological data of Precipitation from College of Global Change and Earth System Science, Beijing Normal University (BNU-ESM) using the run r1i1p1 of the rcp45 scenario.</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                             (time: 34333, lat: 585, lon: 1386)\n",
+       "Coordinates:\n",
+       "    crs                                 float64 ...\n",
+       "  * lat                                 (lat) float64 25.06 25.1 ... 49.35 49.4\n",
+       "  * lon                                 (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                (time) datetime64[ns] 2006-01-01 ... ...\n",
+       "Data variables: (12/350)\n",
+       "    huss_BNU-ESM_r1i1p1_rcp45           (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    huss_BNU-ESM_r1i1p1_rcp85           (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    huss_CCSM4_r6i1p1_rcp45             (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    huss_CCSM4_r6i1p1_rcp85             (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    huss_CNRM-CM5_r1i1p1_rcp45          (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    huss_CNRM-CM5_r1i1p1_rcp85          (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    ...                                  ...\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_rcp45       (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_rcp85       (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    vas_bcc-csm1-1_r1i1p1_rcp45         (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    vas_bcc-csm1-1_r1i1p1_rcp85         (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    vas_inmcm4_r1i1p1_rcp45             (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "    vas_inmcm4_r1i1p1_rcp85             (time, lat, lon) float32 dask.array<chunksize=(745, 86, 204), meta=np.ndarray>\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains daily downscaled m...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               2010-12-31T00:00\n",
+       "    time_coverage_resolution:        P1D\n",
+       "    time_coverage_start:             2006-01-01T00:0\n",
+       "    title:                           Downscaled daily meteorological data of ..."
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_merge = xr.open_zarr(merged_file)\n",
+    "ds_merge"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Plot example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x2aad61eb4a10>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_merge['tasmax_GFDL-ESM2M_r1i1p1_rcp85'].isel(time=0).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Encoding for Variables:\n",
+      "crs:\n",
+      "{'chunks': (),\n",
+      " 'compressor': None,\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {}}\n",
+      "\n",
+      "huss_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CCSM4_r6i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CCSM4_r6i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999.0,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('float32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_NorESM1-M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_NorESM1-M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "lat:\n",
+      "{'chunks': (585,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 585}}\n",
+      "\n",
+      "lon:\n",
+      "{'chunks': (1386,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lon': 1386}}\n",
+      "\n",
+      "pr_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CCSM4_r6i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CCSM4_r6i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999.0,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('float32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "pr_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_NorESM1-M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_NorESM1-M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "rhsmax_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmax_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rhsmin_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CCSM4_r6i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CCSM4_r6i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_NorESM1-M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_NorESM1-M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "rsds_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745}}\n",
+      "\n",
+      "tasmax_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CCSM4_r6i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CCSM4_r6i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_NorESM1-M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_NorESM1-M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CCSM4_r6i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CCSM4_r6i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_NorESM1-M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_NorESM1-M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "time:\n",
+      "{'calendar': 'gregorian',\n",
+      " 'chunks': (34333,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'time': 34333},\n",
+      " 'units': 'days since 1900-01-01'}\n",
+      "\n",
+      "uas_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CCSM4_r6i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CCSM4_r6i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_NorESM1-M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_NorESM1-M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_BNU-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_BNU-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CCSM4_r6i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CCSM4_r6i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CNRM-CM5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CNRM-CM5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CSIRO-Mk3-6-0_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CanESM2_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CanESM2_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_GFDL-ESM2G_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_GFDL-ESM2G_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_GFDL-ESM2M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_GFDL-ESM2M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_HadGEM2-CC365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_HadGEM2-CC365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_HadGEM2-ES365_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_HadGEM2-ES365_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5A-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5A-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5A-MR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5A-MR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5B-LR_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5B-LR_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC-ESM-CHEM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC-ESM-CHEM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC-ESM_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC-ESM_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC5_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC5_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MRI-CGCM3_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MRI-CGCM3_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_NorESM1-M_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_NorESM1-M_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_bcc-csm1-1-m_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_bcc-csm1-1-m_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_bcc-csm1-1_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_bcc-csm1-1_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_inmcm4_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_inmcm4_r1i1p1_rcp85:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pprint import pprint\n",
+    "# Pretty-print encoding for each variable\n",
+    "print(\"Encoding for Variables:\")\n",
+    "for var in ds_merge.variables:\n",
+    "    print(f\"{var}:\")\n",
+    "    pprint(ds_merge[var].encoding)\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-11-05 22:56:20,262 - distributed.nanny - WARNING - Worker process still alive after 3.1999992370605472 seconds, killing\n",
+      "2023-11-05 22:56:20,263 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n",
+      "2023-11-05 22:56:20,263 - distributed.nanny - WARNING - Worker process still alive after 3.199999389648438 seconds, killing\n",
+      "2023-11-05 22:56:20,264 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n"
+     ]
+    }
+   ],
+   "source": [
+    "cluster.close()\n",
+    "client.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "d853cbf2f35f45a59f79ca5e397d8dd1594080251b0b51418fe33f5fb0138a7a"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/workflows/opendap/CIDA/MACAV2/historical_daily_01_nc_to_zarr.ipynb b/workflows/opendap/CIDA/MACAV2/historical_daily_01_nc_to_zarr.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..b5d79d567e07287c3a9d72615cdc905437ea2355
--- /dev/null
+++ b/workflows/opendap/CIDA/MACAV2/historical_daily_01_nc_to_zarr.ipynb
@@ -0,0 +1,30786 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MACAV2 Historic daily dataset\n",
+    "\n",
+    "Step 1: Rechunk each NC file individually. Prior to merging. \n",
+    "\n",
+    "\n",
+    "## Setting up the execution environment:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "import os\n",
+    "os.environ['AWS_PROFILE'] = 'nhgf-dev'\n",
+    "os.environ['AWS_ENDPOINT'] = 'https://s3.us-west-2.amazonaws.com/'\n",
+    "%run ../../../AWS.ipynb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pathlib\n",
+    "import logging\n",
+    "import xarray as xr\n",
+    "import warnings\n",
+    "from datetime import datetime\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Python     : 3.11.6 | packaged by conda-forge | (main, Oct  3 2023, 10:40:35) [GCC 12.3.0]\n",
+      "dask       : 2023.8.1\n",
+      "fsspec     : 2023.10.0\n",
+      "kerchunk   : --\n",
+      "s3fs       : 2023.10.0\n",
+      "xarray     : 2023.10.1\n",
+      "zarr       : 2.16.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "_versions(['dask', 'fsspec', 'zarr', 'xarray', 'kerchunk', 's3fs'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finding source files\n",
+    "\n",
+    "To make this list of sources easier to work with, I made a simple flat text file of the various \n",
+    "`.nc` files that will need to be processed.  That file is in `worklist.txt` in the scratch space\n",
+    "on Caldera. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "List of *.nc files has been saved to list_of_nc_files.txt\n"
+     ]
+    }
+   ],
+   "source": [
+    "srcdir =  pathlib.Path(\"/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/\")\n",
+    "# The text file where the list of *.nc files will be saved\n",
+    "output_file_path = 'list_of_nc_files.txt'\n",
+    "\n",
+    "# Initialize an empty list to store file names\n",
+    "nc_files = []\n",
+    "\n",
+    "# List the content of the directory\n",
+    "for filename in os.listdir(srcdir):\n",
+    "    # Check if the file is an *.nc file\n",
+    "    if filename.endswith('.nc'):\n",
+    "        nc_files.append(filename)\n",
+    "\n",
+    "# Write the list of *.nc files into the text file\n",
+    "with open(srcdir / output_file_path, 'w') as f:\n",
+    "    for nc_file in nc_files:\n",
+    "        f.write(f\"{nc_file}\\n\")\n",
+    "\n",
+    "print(f\"List of *.nc files has been saved to {output_file_path}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_CCSM4_r6i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_CCSM4_r6i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_NorESM1-M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_CCSM4_r6i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_NorESM1-M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_NorESM1-M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_CCSM4_r6i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_NorESM1-M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_NorESM1-M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_NorESM1-M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_CCSM4_r6i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_NorESM1-M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_CCSM4_r6i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_MRI-CGCM3_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_IPSL-CM5B-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_CNRM-CM5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_IPSL-CM5A-LR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_inmcm4_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_CCSM4_r6i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_MIROC-ESM-CHEM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_HadGEM2-ES365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_GFDL-ESM2M_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_BNU-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_HadGEM2-CC365_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_CSIRO-Mk3-6-0_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlvas_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmluas_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmax_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_IPSL-CM5A-MR_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_GFDL-ESM2G_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_MIROC5_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmltasmin_CanESM2_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrsds_bcc-csm1-1_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmin_bcc-csm1-1-m_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlpr_MIROC-ESM_r1i1p1_historical.nc'),\n",
+       " PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlrhsmax_HadGEM2-CC365_r1i1p1_historical.nc')]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "worklist = []\n",
+    "with open(srcdir / \"list_of_nc_files.txt\", \"r\") as wl:\n",
+    "    while fname:=wl.readline().strip():\n",
+    "        worklist.append(srcdir / fname)\n",
+    "worklist"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Start a dask cluster\n",
+    "Because we are using dask arrays under the cover, processing them will benefit from \n",
+    "clustered/parallel capabilities. While we *could* do a SLURM cluster, the local cluster\n",
+    "is adequate for this task -- and it prevents us having to broadcast/scatter data among\n",
+    "the cluster nodes.  A local cluster's workers are not remote."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dask Dashboard is available at: http://127.0.0.1:8787/status\n"
+     ]
+    }
+   ],
+   "source": [
+    "from dask.distributed import Client, LocalCluster\n",
+    "\n",
+    "try:\n",
+    "    if 'client' in locals():\n",
+    "        client.close()\n",
+    "        cluster.close()\n",
+    "    cluster = LocalCluster(n_workers=7, threads_per_worker=2)\n",
+    "    client = Client(cluster)\n",
+    "except Exception as e:\n",
+    "    print(f\"An error occurred: {e}\")\n",
+    "\n",
+    "# Display the Dask Dashboard URL\n",
+    "print(f\"Dask Dashboard is available at: {client.dashboard_link}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
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+       "\n",
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+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
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+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
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+       "\n",
+       ".xr-obj-type {\n",
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+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
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+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
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+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
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+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
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+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: 'â–¼';\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
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+       "  display: none;\n",
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+       "  margin-bottom: 5px;\n",
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+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
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+       "\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
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+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
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+       "  display: block;\n",
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+       "  float: right;\n",
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+       "\n",
+       ".xr-attrs dt {\n",
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+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                                  (crs: 1, lat: 585, lon: 1386,\n",
+       "                                              time: 20454)\n",
+       "Coordinates:\n",
+       "  * crs                                      (crs) int32 1\n",
+       "  * lat                                      (lat) float64 25.06 25.1 ... 49.4\n",
+       "  * lon                                      (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                     (time) datetime64[ns] 1950-01-01...\n",
+       "Data variables: (12/176)\n",
+       "    huss_BNU-ESM_r1i1p1_historical           (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_CCSM4_r6i1p1_historical             (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_CNRM-CM5_r1i1p1_historical          (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_CSIRO-Mk3-6-0_r1i1p1_historical     (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_CanESM2_r1i1p1_historical           (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    huss_GFDL-ESM2G_r1i1p1_historical        (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    ...                                       ...\n",
+       "    vas_MIROC5_r1i1p1_historical             (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_MRI-CGCM3_r1i1p1_historical          (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_NorESM1-M_r1i1p1_historical          (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_historical       (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_bcc-csm1-1_r1i1p1_historical         (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "    vas_inmcm4_r1i1p1_historical             (time, lat, lon) float32 dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;\n",
+       "Attributes: (12/45)\n",
+       "    description:                     Multivariate Adaptive Constructed Analog...\n",
+       "    id:                              MACAv2-METDATA\n",
+       "    naming_authority:                edu.uidaho.reacch\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    ...                              ...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    publisher_name:                  REACCH\n",
+       "    publisher_email:                 \n",
+       "    publisher_url:                   http://www.reacchpna.org/\n",
+       "    license:                         Creative Commons CC0 1.0 Universal Dedic...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-906efefd-2b36-4e7d-a67c-7731309c4fae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-906efefd-2b36-4e7d-a67c-7731309c4fae' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>crs</span>: 1</li><li><span class='xr-has-index'>lat</span>: 585</li><li><span class='xr-has-index'>lon</span>: 1386</li><li><span class='xr-has-index'>time</span>: 20454</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-68579175-3d37-4985-820a-9019bdfd006d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-68579175-3d37-4985-820a-9019bdfd006d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>crs</span></div><div class='xr-var-dims'>(crs)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-57dc375a-988c-4752-a671-56dc5cbb1158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57dc375a-988c-4752-a671-56dc5cbb1158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef93face-1c4e-4494-a4fa-3ddf6e9046b9' class='xr-var-data-in' type='checkbox'><label for='data-ef93face-1c4e-4494-a4fa-3ddf6e9046b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array([1], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.06 25.1 25.15 ... 49.35 49.4</div><input id='attrs-6c17a636-73eb-4535-87f3-2bdac3fe4cf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c17a636-73eb-4535-87f3-2bdac3fe4cf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aea8c2a7-f05c-4516-a9f0-fd71553c1a46' class='xr-var-data-in' type='checkbox'><label for='data-aea8c2a7-f05c-4516-a9f0-fd71553c1a46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>description :</span></dt><dd>Latitude of the center of the grid cell</dd></dl></div><div class='xr-var-data'><pre>array([25.063078, 25.104744, 25.14641 , ..., 49.312691, 49.354359, 49.396023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>235.2 235.3 235.3 ... 292.9 292.9</div><input id='attrs-0b5a830c-0518-4a07-b98f-8cff14b889d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b5a830c-0518-4a07-b98f-8cff14b889d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30052431-823d-4324-a329-d12abee2809a' class='xr-var-data-in' type='checkbox'><label for='data-30052431-823d-4324-a329-d12abee2809a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>description :</span></dt><dd>Longitude of the center of the grid cell</dd></dl></div><div class='xr-var-data'><pre>array([235.227844, 235.269501, 235.311157, ..., 292.851929, 292.893585,\n",
+       "       292.935242])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1950-01-01 ... 2005-12-31</div><input id='attrs-054d9aee-c48b-47d2-b652-fefae910e197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-054d9aee-c48b-47d2-b652-fefae910e197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6b0314e-c182-4161-b5c9-894395d3d5ae' class='xr-var-data-in' type='checkbox'><label for='data-f6b0314e-c182-4161-b5c9-894395d3d5ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>days since 1900-01-01</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1950-01-01T00:00:00.000000000&#x27;, &#x27;1950-01-02T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1950-01-03T00:00:00.000000000&#x27;, ..., &#x27;2005-12-29T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-12-30T00:00:00.000000000&#x27;, &#x27;2005-12-31T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38055ac8-e45a-409b-8011-9b07065db57e' class='xr-section-summary-in' type='checkbox'  ><label for='section-38055ac8-e45a-409b-8011-9b07065db57e' class='xr-section-summary' >Data variables: <span>(176)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>huss_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6a5a44e1-9bd2-4ce4-b20a-eca61aa8def8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a5a44e1-9bd2-4ce4-b20a-eca61aa8def8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47651c06-54fe-4338-a57b-b76caf6de277' class='xr-var-data-in' type='checkbox'><label for='data-47651c06-54fe-4338-a57b-b76caf6de277' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-be371036-f1a4-49f4-b77d-142c57108d23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be371036-f1a4-49f4-b77d-142c57108d23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dc20407-9d74-45f7-9fb0-721046508b16' class='xr-var-data-in' type='checkbox'><label for='data-2dc20407-9d74-45f7-9fb0-721046508b16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e6034651-f16e-40bf-adf0-c5e96dff1489' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6034651-f16e-40bf-adf0-c5e96dff1489' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3225d802-0e09-4bf1-a517-97b20fac9c21' class='xr-var-data-in' type='checkbox'><label for='data-3225d802-0e09-4bf1-a517-97b20fac9c21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-74255874-4449-4cb4-8663-988e85d87cc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74255874-4449-4cb4-8663-988e85d87cc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-121609a7-75e9-4567-9de3-f092ccd05771' class='xr-var-data-in' type='checkbox'><label for='data-121609a7-75e9-4567-9de3-f092ccd05771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0d894e97-b16e-4670-95f3-bdd1bf31a8d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d894e97-b16e-4670-95f3-bdd1bf31a8d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22e0e692-2001-4072-8e46-dedccb967908' class='xr-var-data-in' type='checkbox'><label for='data-22e0e692-2001-4072-8e46-dedccb967908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-1c5a0687-2066-42db-9d0d-c39e30e4da55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c5a0687-2066-42db-9d0d-c39e30e4da55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b40492b-770b-41f3-b804-0087eca7ca8b' class='xr-var-data-in' type='checkbox'><label for='data-0b40492b-770b-41f3-b804-0087eca7ca8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2b92b880-6269-42e6-b13d-577f586aa885' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b92b880-6269-42e6-b13d-577f586aa885' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-165832a2-4072-4db7-b603-bac03b1a6db8' class='xr-var-data-in' type='checkbox'><label for='data-165832a2-4072-4db7-b603-bac03b1a6db8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-4b4a0ad1-500b-4542-b0a5-92672a56588f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b4a0ad1-500b-4542-b0a5-92672a56588f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78667a87-0fe2-4dc8-b80b-511c4fbda757' class='xr-var-data-in' type='checkbox'><label for='data-78667a87-0fe2-4dc8-b80b-511c4fbda757' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-c45e3fd2-0a81-4e30-963f-b9607c666976' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c45e3fd2-0a81-4e30-963f-b9607c666976' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ace765e-e3f1-46ed-89d6-0647628f3409' class='xr-var-data-in' type='checkbox'><label for='data-3ace765e-e3f1-46ed-89d6-0647628f3409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-52d7f5a7-6b8c-4c81-9312-bc49443796ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52d7f5a7-6b8c-4c81-9312-bc49443796ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5c0d660-632b-40fd-90af-2ce6c489b566' class='xr-var-data-in' type='checkbox'><label for='data-e5c0d660-632b-40fd-90af-2ce6c489b566' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6514fe54-d656-4a97-8913-1625746280bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6514fe54-d656-4a97-8913-1625746280bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f47fc5ae-3897-4f7c-b60f-8956295bb098' class='xr-var-data-in' type='checkbox'><label for='data-f47fc5ae-3897-4f7c-b60f-8956295bb098' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6481f759-82cc-450a-8965-9e95f9342d94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6481f759-82cc-450a-8965-9e95f9342d94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f62eaee-2db3-433f-b92c-095737feb305' class='xr-var-data-in' type='checkbox'><label for='data-2f62eaee-2db3-433f-b92c-095737feb305' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-5b567156-1471-4f8b-84d1-030d9f8fc856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b567156-1471-4f8b-84d1-030d9f8fc856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a813f87e-57df-4719-a939-903e330ff338' class='xr-var-data-in' type='checkbox'><label for='data-a813f87e-57df-4719-a939-903e330ff338' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-86681679-03cd-4232-991b-a06c12ee926f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86681679-03cd-4232-991b-a06c12ee926f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65d80b45-09d7-4561-974a-989236271b34' class='xr-var-data-in' type='checkbox'><label for='data-65d80b45-09d7-4561-974a-989236271b34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-70082a53-bbf8-43a7-ad6e-6d31757e4c85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70082a53-bbf8-43a7-ad6e-6d31757e4c85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c20e020f-18ed-4991-97f4-b4ce9f8cebe9' class='xr-var-data-in' type='checkbox'><label for='data-c20e020f-18ed-4991-97f4-b4ce9f8cebe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-78079c4f-3114-4545-b491-beebca56965a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78079c4f-3114-4545-b491-beebca56965a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b17d1ae6-2fad-4bc7-ab42-73529a306832' class='xr-var-data-in' type='checkbox'><label for='data-b17d1ae6-2fad-4bc7-ab42-73529a306832' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ad3a5278-49f9-4258-9a9d-503845c0b018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad3a5278-49f9-4258-9a9d-503845c0b018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bf0a32e-2b0e-4f58-a40d-526b5dac6b6d' class='xr-var-data-in' type='checkbox'><label for='data-9bf0a32e-2b0e-4f58-a40d-526b5dac6b6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-a549f527-fc84-4d3f-a962-27bede481591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a549f527-fc84-4d3f-a962-27bede481591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1be89467-fca7-4d47-b222-14189d358924' class='xr-var-data-in' type='checkbox'><label for='data-1be89467-fca7-4d47-b222-14189d358924' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-00a0374e-4ab1-41c8-8a92-26add59a4c88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00a0374e-4ab1-41c8-8a92-26add59a4c88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba08a0c0-fb48-4796-8a66-d6b0deed7a23' class='xr-var-data-in' type='checkbox'><label for='data-ba08a0c0-fb48-4796-8a66-d6b0deed7a23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3410fc1a-baa2-4180-b6b2-587f65de5c10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3410fc1a-baa2-4180-b6b2-587f65de5c10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f72c295-5e5c-4392-b851-f2c2b7666f57' class='xr-var-data-in' type='checkbox'><label for='data-4f72c295-5e5c-4392-b851-f2c2b7666f57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-485f7eda-6c65-453e-b0bc-08819e6f100e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-485f7eda-6c65-453e-b0bc-08819e6f100e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e53179-0bb5-4e73-ad8c-a32823c5b891' class='xr-var-data-in' type='checkbox'><label for='data-b9e53179-0bb5-4e73-ad8c-a32823c5b891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-49a84634-1207-49a4-b5d6-6fd733441d94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49a84634-1207-49a4-b5d6-6fd733441d94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-becb1bce-46e6-495a-adb7-a07d29c03e42' class='xr-var-data-in' type='checkbox'><label for='data-becb1bce-46e6-495a-adb7-a07d29c03e42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8a7e09b2-8f5f-4400-92bc-cc227cdcf8c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7e09b2-8f5f-4400-92bc-cc227cdcf8c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6cb2e7c-e38b-4116-a98a-7ff7c89e93a9' class='xr-var-data-in' type='checkbox'><label for='data-f6cb2e7c-e38b-4116-a98a-7ff7c89e93a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ab37a159-a4e6-4cce-9949-f7ae0ae99888' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab37a159-a4e6-4cce-9949-f7ae0ae99888' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4450920-afa3-452d-9631-be1771e1316e' class='xr-var-data-in' type='checkbox'><label for='data-c4450920-afa3-452d-9631-be1771e1316e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9f70c3f5-9601-4a27-a170-83848d3e3063' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f70c3f5-9601-4a27-a170-83848d3e3063' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74d29942-283d-47e2-8a86-de5f2b7d7dc4' class='xr-var-data-in' type='checkbox'><label for='data-74d29942-283d-47e2-8a86-de5f2b7d7dc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-7a986799-d063-4027-b12b-d394b4d3cd8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a986799-d063-4027-b12b-d394b4d3cd8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37aefb44-f1ad-444c-a216-df2b9241806c' class='xr-var-data-in' type='checkbox'><label for='data-37aefb44-f1ad-444c-a216-df2b9241806c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f1a33fcb-b8fe-4ea0-83d3-992c62073849' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1a33fcb-b8fe-4ea0-83d3-992c62073849' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7de051e7-15c5-4254-80a4-19dac38760c6' class='xr-var-data-in' type='checkbox'><label for='data-7de051e7-15c5-4254-80a4-19dac38760c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6c64a317-f50e-42b1-b968-b9724895fa03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c64a317-f50e-42b1-b968-b9724895fa03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fa2c843-8bee-4765-936d-7bf56aeb357d' class='xr-var-data-in' type='checkbox'><label for='data-2fa2c843-8bee-4765-936d-7bf56aeb357d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-80269f4d-eb12-4c7c-b24f-52b20a2a0ede' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80269f4d-eb12-4c7c-b24f-52b20a2a0ede' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d06a3357-91a0-488a-9180-9dc990359cc9' class='xr-var-data-in' type='checkbox'><label for='data-d06a3357-91a0-488a-9180-9dc990359cc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-94d63554-9088-44a5-8f6f-d8ae6cdc4063' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94d63554-9088-44a5-8f6f-d8ae6cdc4063' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef63e381-f982-4365-96d9-a1293787926e' class='xr-var-data-in' type='checkbox'><label for='data-ef63e381-f982-4365-96d9-a1293787926e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-fcbf39d9-b212-4297-b504-478b8fb69d5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcbf39d9-b212-4297-b504-478b8fb69d5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a682c560-50ad-4ede-a302-3c4117040651' class='xr-var-data-in' type='checkbox'><label for='data-a682c560-50ad-4ede-a302-3c4117040651' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9e249d94-b8aa-49ed-aa67-c83c3aab46fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e249d94-b8aa-49ed-aa67-c83c3aab46fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b2e95c9-24e4-4046-aee2-d6041ac1276b' class='xr-var-data-in' type='checkbox'><label for='data-9b2e95c9-24e4-4046-aee2-d6041ac1276b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-daf5fa6f-4adc-42dc-83e5-fb6c9e162fd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daf5fa6f-4adc-42dc-83e5-fb6c9e162fd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7752dc2c-8481-4256-9a09-b6921a500f6e' class='xr-var-data-in' type='checkbox'><label for='data-7752dc2c-8481-4256-9a09-b6921a500f6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-af7f8c01-3c8e-4077-bf5a-c51de73c053f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af7f8c01-3c8e-4077-bf5a-c51de73c053f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f62e5c28-55d5-41f9-a9f1-ebc5b59cfe64' class='xr-var-data-in' type='checkbox'><label for='data-f62e5c28-55d5-41f9-a9f1-ebc5b59cfe64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-da7aaa54-ef1f-455c-89a8-ddaeae9da018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da7aaa54-ef1f-455c-89a8-ddaeae9da018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f748347b-2416-4403-85b2-e866ad9ec298' class='xr-var-data-in' type='checkbox'><label for='data-f748347b-2416-4403-85b2-e866ad9ec298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0e2515f2-fe24-432b-9f70-54b8e90e3bd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e2515f2-fe24-432b-9f70-54b8e90e3bd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8a66a15-7f4a-4afb-9136-325caca0824a' class='xr-var-data-in' type='checkbox'><label for='data-a8a66a15-7f4a-4afb-9136-325caca0824a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-17d1331a-be68-436b-9ded-2f9b573cbe88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17d1331a-be68-436b-9ded-2f9b573cbe88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aec2eef3-8297-4b8c-aeaf-23bcf7af13cb' class='xr-var-data-in' type='checkbox'><label for='data-aec2eef3-8297-4b8c-aeaf-23bcf7af13cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-fb8d6607-eeb7-4b07-9fc1-fa21c99f7420' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb8d6607-eeb7-4b07-9fc1-fa21c99f7420' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d39e7f5-2302-4752-abd1-5c714e9c24ad' class='xr-var-data-in' type='checkbox'><label for='data-8d39e7f5-2302-4752-abd1-5c714e9c24ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ca7661ee-c20c-44f5-8c1d-fc768f19cfc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca7661ee-c20c-44f5-8c1d-fc768f19cfc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9732473d-f384-4a8f-bb72-c737c1da393d' class='xr-var-data-in' type='checkbox'><label for='data-9732473d-f384-4a8f-bb72-c737c1da393d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0f9e86c4-412e-48bf-b013-c4551f234197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f9e86c4-412e-48bf-b013-c4551f234197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc450845-3798-4cce-b9d7-34ed27c7e6e7' class='xr-var-data-in' type='checkbox'><label for='data-bc450845-3798-4cce-b9d7-34ed27c7e6e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e6b59602-f010-4bf9-a794-4ba21bfd1a43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6b59602-f010-4bf9-a794-4ba21bfd1a43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f5a62c-d9a3-412e-87c4-d6c550475a34' class='xr-var-data-in' type='checkbox'><label for='data-86f5a62c-d9a3-412e-87c4-d6c550475a34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-25cf7a95-754c-43a3-bc26-0fe51a4d02fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25cf7a95-754c-43a3-bc26-0fe51a4d02fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c15229af-37f4-485c-89d1-7285acd45aa6' class='xr-var-data-in' type='checkbox'><label for='data-c15229af-37f4-485c-89d1-7285acd45aa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8dcd70c3-fe5c-48f4-9b6a-68a0f5aa55a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dcd70c3-fe5c-48f4-9b6a-68a0f5aa55a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46f8234f-0f00-47fc-864b-df131d958cb5' class='xr-var-data-in' type='checkbox'><label for='data-46f8234f-0f00-47fc-864b-df131d958cb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2e3629ab-8182-4d96-b2c9-d64e2620d6fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e3629ab-8182-4d96-b2c9-d64e2620d6fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80d049bc-7b25-4377-9caf-d3bfdb55666c' class='xr-var-data-in' type='checkbox'><label for='data-80d049bc-7b25-4377-9caf-d3bfdb55666c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e91e209b-1f95-422a-80fc-ad19de45ae23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e91e209b-1f95-422a-80fc-ad19de45ae23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-988effef-8207-4d22-bec6-f99cb1ae61b6' class='xr-var-data-in' type='checkbox'><label for='data-988effef-8207-4d22-bec6-f99cb1ae61b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b6c7cc47-f658-4b3f-99a1-314f31b5a652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6c7cc47-f658-4b3f-99a1-314f31b5a652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03362204-4680-4011-b9e4-d619e700c70a' class='xr-var-data-in' type='checkbox'><label for='data-03362204-4680-4011-b9e4-d619e700c70a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-74af0551-6432-49db-9577-6002ced267aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74af0551-6432-49db-9577-6002ced267aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaf0e728-584e-4202-bb42-782922061f88' class='xr-var-data-in' type='checkbox'><label for='data-eaf0e728-584e-4202-bb42-782922061f88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-fdbae76f-5f10-424c-a50d-4ea01db56717' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdbae76f-5f10-424c-a50d-4ea01db56717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83229c9e-bd33-457e-a82c-dcb9e27fe20b' class='xr-var-data-in' type='checkbox'><label for='data-83229c9e-bd33-457e-a82c-dcb9e27fe20b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-420665f3-e2bc-4c26-86cc-eee9cc68e7d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-420665f3-e2bc-4c26-86cc-eee9cc68e7d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb9af1f7-7248-471a-b8fb-434b1ea53724' class='xr-var-data-in' type='checkbox'><label for='data-bb9af1f7-7248-471a-b8fb-434b1ea53724' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6015df5a-b521-400b-b620-a17c3cf60b9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6015df5a-b521-400b-b620-a17c3cf60b9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab8dc986-900f-4b61-8b17-ed0cf2326bc6' class='xr-var-data-in' type='checkbox'><label for='data-ab8dc986-900f-4b61-8b17-ed0cf2326bc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-c9982717-bef7-42bb-a3c3-e027d1c8c431' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9982717-bef7-42bb-a3c3-e027d1c8c431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b095f73f-16d6-4b26-bce3-af03c51caf01' class='xr-var-data-in' type='checkbox'><label for='data-b095f73f-16d6-4b26-bce3-af03c51caf01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8dee80b6-7dae-4f60-8217-fa15d15294ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dee80b6-7dae-4f60-8217-fa15d15294ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc324bb1-7b39-4026-9b56-94231f02d7d3' class='xr-var-data-in' type='checkbox'><label for='data-fc324bb1-7b39-4026-9b56-94231f02d7d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d58dcd8c-3e69-4ec0-9f2f-52e9c382c03e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d58dcd8c-3e69-4ec0-9f2f-52e9c382c03e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69380a50-fc82-4e42-ac39-9e5662dc4a75' class='xr-var-data-in' type='checkbox'><label for='data-69380a50-fc82-4e42-ac39-9e5662dc4a75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-68047c18-a835-4c96-b43b-bacc16e1d1d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68047c18-a835-4c96-b43b-bacc16e1d1d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abd884c1-74eb-4d6d-9e67-29005d214b77' class='xr-var-data-in' type='checkbox'><label for='data-abd884c1-74eb-4d6d-9e67-29005d214b77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e41fcee7-dcd5-4fbb-b42a-4ac4ce973c36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e41fcee7-dcd5-4fbb-b42a-4ac4ce973c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4abb63a1-5bcf-48ca-9168-6727da934e66' class='xr-var-data-in' type='checkbox'><label for='data-4abb63a1-5bcf-48ca-9168-6727da934e66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-527c41c7-9d5b-42ec-8450-0d2e035f64db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-527c41c7-9d5b-42ec-8450-0d2e035f64db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-961c34ba-85f4-41f1-9b65-0538ab469203' class='xr-var-data-in' type='checkbox'><label for='data-961c34ba-85f4-41f1-9b65-0538ab469203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3087294d-5e48-4391-a334-e44ae9123471' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3087294d-5e48-4391-a334-e44ae9123471' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4d20201-95aa-454d-b78c-7b0ee1ce8d2d' class='xr-var-data-in' type='checkbox'><label for='data-a4d20201-95aa-454d-b78c-7b0ee1ce8d2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-7ad19a2a-938e-48db-b6b1-af145413a847' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ad19a2a-938e-48db-b6b1-af145413a847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5c302f3-d38e-492d-954c-40412e15976d' class='xr-var-data-in' type='checkbox'><label for='data-d5c302f3-d38e-492d-954c-40412e15976d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2aae46c1-b414-4a69-8de5-a89b623b5b57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aae46c1-b414-4a69-8de5-a89b623b5b57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c5f8d9d-1167-4a89-9e66-3cc241aa4b9c' class='xr-var-data-in' type='checkbox'><label for='data-4c5f8d9d-1167-4a89-9e66-3cc241aa4b9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-61acd862-7727-4023-bb71-31044535c455' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61acd862-7727-4023-bb71-31044535c455' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e84d7ab-602d-4dbc-9355-bd11003b2f00' class='xr-var-data-in' type='checkbox'><label for='data-5e84d7ab-602d-4dbc-9355-bd11003b2f00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2010ff3e-ad8b-44e9-903c-6573b5a48946' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2010ff3e-ad8b-44e9-903c-6573b5a48946' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c8c9c11-c870-403d-bc17-736f24173642' class='xr-var-data-in' type='checkbox'><label for='data-2c8c9c11-c870-403d-bc17-736f24173642' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e7b6deec-df44-4b08-8333-d6cd95a46e32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7b6deec-df44-4b08-8333-d6cd95a46e32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30c6f9e7-33bc-4b2c-afd8-903838a9ba5e' class='xr-var-data-in' type='checkbox'><label for='data-30c6f9e7-33bc-4b2c-afd8-903838a9ba5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-be323de0-8557-4b12-9b3a-bb58d6abaa4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be323de0-8557-4b12-9b3a-bb58d6abaa4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7cd6948-299f-4817-92bd-398b0e0c1f40' class='xr-var-data-in' type='checkbox'><label for='data-b7cd6948-299f-4817-92bd-398b0e0c1f40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-33c6e761-3248-45cb-9bd7-ebf76dfe1100' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c6e761-3248-45cb-9bd7-ebf76dfe1100' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b00b92da-867e-4f96-b498-50f30c74850c' class='xr-var-data-in' type='checkbox'><label for='data-b00b92da-867e-4f96-b498-50f30c74850c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2983a1af-fb03-4a00-b41c-d05949cf2acf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2983a1af-fb03-4a00-b41c-d05949cf2acf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-640c3c72-a37c-4f62-90c9-0a2005fb7c20' class='xr-var-data-in' type='checkbox'><label for='data-640c3c72-a37c-4f62-90c9-0a2005fb7c20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-20c4d625-c5b1-41a9-a9db-6c316436e0b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20c4d625-c5b1-41a9-a9db-6c316436e0b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7c7a21c-5732-408c-8fd3-0deea3b1c95a' class='xr-var-data-in' type='checkbox'><label for='data-f7c7a21c-5732-408c-8fd3-0deea3b1c95a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-745562d7-ad77-4c17-a46d-e3adf3e47818' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-745562d7-ad77-4c17-a46d-e3adf3e47818' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f0cdd9b-475e-412e-a711-a25a9b69b6d3' class='xr-var-data-in' type='checkbox'><label for='data-5f0cdd9b-475e-412e-a711-a25a9b69b6d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-c39906df-90fa-44ad-a5d0-398dc125151c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c39906df-90fa-44ad-a5d0-398dc125151c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9f1c46c-c73b-4075-b638-98609c33dff3' class='xr-var-data-in' type='checkbox'><label for='data-f9f1c46c-c73b-4075-b638-98609c33dff3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0bc64ad9-231b-4d7d-85a8-d10b98080ca9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bc64ad9-231b-4d7d-85a8-d10b98080ca9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d694bb6-c0b4-4c3d-b653-71be7af313b4' class='xr-var-data-in' type='checkbox'><label for='data-4d694bb6-c0b4-4c3d-b653-71be7af313b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0dfb8b73-6dc6-4756-9a62-434a1da92526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dfb8b73-6dc6-4756-9a62-434a1da92526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-964244c1-604d-41a2-8498-ef6f9ea4d272' class='xr-var-data-in' type='checkbox'><label for='data-964244c1-604d-41a2-8498-ef6f9ea4d272' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d75ad2eb-63a4-434a-93b1-55f9b3c5683f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d75ad2eb-63a4-434a-93b1-55f9b3c5683f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea64c0f4-67b0-40fe-adb8-13b792661ba3' class='xr-var-data-in' type='checkbox'><label for='data-ea64c0f4-67b0-40fe-adb8-13b792661ba3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b925717e-8872-4f5c-9b2c-f997b7d6db47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b925717e-8872-4f5c-9b2c-f997b7d6db47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d495b1b5-367d-4840-b692-fe69bc997ce1' class='xr-var-data-in' type='checkbox'><label for='data-d495b1b5-367d-4840-b692-fe69bc997ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d710023b-38f8-43dc-8880-43ce9436823c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d710023b-38f8-43dc-8880-43ce9436823c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f2eaf68-12d3-415d-a26a-27f1a911d7bb' class='xr-var-data-in' type='checkbox'><label for='data-3f2eaf68-12d3-415d-a26a-27f1a911d7bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-5dd91ade-a543-4d94-885e-063a30abe4f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dd91ade-a543-4d94-885e-063a30abe4f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa64dedf-1f57-42eb-ab33-d3d686b76441' class='xr-var-data-in' type='checkbox'><label for='data-aa64dedf-1f57-42eb-ab33-d3d686b76441' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9ac4de75-5213-4444-99e1-48feea48db10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ac4de75-5213-4444-99e1-48feea48db10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-336e6a06-5b3f-42d4-8109-60260b650605' class='xr-var-data-in' type='checkbox'><label for='data-336e6a06-5b3f-42d4-8109-60260b650605' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0c80fad5-6573-465a-b619-b869454f1f74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c80fad5-6573-465a-b619-b869454f1f74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d2d0166-cb70-40fb-80f0-f2b94d4603d2' class='xr-var-data-in' type='checkbox'><label for='data-5d2d0166-cb70-40fb-80f0-f2b94d4603d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9fa4a329-0bab-44cb-9b4e-ce7bd472223a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fa4a329-0bab-44cb-9b4e-ce7bd472223a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be2430a9-e0ef-413e-a29a-171cd0c0350f' class='xr-var-data-in' type='checkbox'><label for='data-be2430a9-e0ef-413e-a29a-171cd0c0350f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d05a8f08-b263-411e-bd90-fd44a7e14917' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d05a8f08-b263-411e-bd90-fd44a7e14917' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-884da728-133c-4deb-a143-e32c83ca6828' class='xr-var-data-in' type='checkbox'><label for='data-884da728-133c-4deb-a143-e32c83ca6828' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-7ed65a59-3f30-4f5c-8aca-04ce42744883' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ed65a59-3f30-4f5c-8aca-04ce42744883' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78eebc28-69d9-4e8b-a4ef-7eeb0176bdcb' class='xr-var-data-in' type='checkbox'><label for='data-78eebc28-69d9-4e8b-a4ef-7eeb0176bdcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-7da82fde-6bfd-4971-9e40-f467b97c54d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7da82fde-6bfd-4971-9e40-f467b97c54d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-713db72f-35c1-4e45-9348-375e77259e19' class='xr-var-data-in' type='checkbox'><label for='data-713db72f-35c1-4e45-9348-375e77259e19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-a5742a08-5f59-41b5-b999-7e17810d7100' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5742a08-5f59-41b5-b999-7e17810d7100' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e626897d-2c6f-4b07-9f12-2faa6a3b8eb0' class='xr-var-data-in' type='checkbox'><label for='data-e626897d-2c6f-4b07-9f12-2faa6a3b8eb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8f77eee8-8fb0-4c9b-9261-32f0ecfa61ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f77eee8-8fb0-4c9b-9261-32f0ecfa61ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-216c2e29-2b6d-49f9-9232-479d3ead438e' class='xr-var-data-in' type='checkbox'><label for='data-216c2e29-2b6d-49f9-9232-479d3ead438e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
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+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-6675442b-1720-4ab4-9392-7e80a838817d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6675442b-1720-4ab4-9392-7e80a838817d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-232ec179-0d14-4896-bdf3-9e7dbf7c3fed' class='xr-var-data-in' type='checkbox'><label for='data-232ec179-0d14-4896-bdf3-9e7dbf7c3fed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-11a0ec76-aa12-49ef-9241-d9a33ee9d04d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11a0ec76-aa12-49ef-9241-d9a33ee9d04d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-241b7396-8c95-4dd4-a0a0-d6a83a6bb570' class='xr-var-data-in' type='checkbox'><label for='data-241b7396-8c95-4dd4-a0a0-d6a83a6bb570' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-98f3455a-ccd0-4c37-8746-ac5267b43805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f3455a-ccd0-4c37-8746-ac5267b43805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-391d181b-760f-4311-9d3e-f7ae19197c3d' class='xr-var-data-in' type='checkbox'><label for='data-391d181b-760f-4311-9d3e-f7ae19197c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9ca6c300-5c37-4592-a9c0-dcf3f1d44ab6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ca6c300-5c37-4592-a9c0-dcf3f1d44ab6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0abcca93-22f1-4a84-af12-98c90a551c40' class='xr-var-data-in' type='checkbox'><label for='data-0abcca93-22f1-4a84-af12-98c90a551c40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ef9a6e6f-689c-40c0-b1c9-723ec2fb1f7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef9a6e6f-689c-40c0-b1c9-723ec2fb1f7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a22d488a-f42e-48dc-9915-4d568c338bbf' class='xr-var-data-in' type='checkbox'><label for='data-a22d488a-f42e-48dc-9915-4d568c338bbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-36abdbd1-b86a-43a2-8750-1880c4bcba50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36abdbd1-b86a-43a2-8750-1880c4bcba50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c0e289c-8091-4390-aa91-f856129828ae' class='xr-var-data-in' type='checkbox'><label for='data-0c0e289c-8091-4390-aa91-f856129828ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-30db375f-452f-43ae-b903-6bdc627af500' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30db375f-452f-43ae-b903-6bdc627af500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a3944e5-37d8-475d-ab2c-040f06bfab5a' class='xr-var-data-in' type='checkbox'><label for='data-1a3944e5-37d8-475d-ab2c-040f06bfab5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d255141a-c646-4ee3-acf0-da937bf5b9da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d255141a-c646-4ee3-acf0-da937bf5b9da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f27ba71-16cd-4bdd-9ea8-60392fc2caac' class='xr-var-data-in' type='checkbox'><label for='data-7f27ba71-16cd-4bdd-9ea8-60392fc2caac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9af6ace3-9f25-48f5-9af0-a5404327cf33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9af6ace3-9f25-48f5-9af0-a5404327cf33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c943cf7-65e3-489a-8231-af3298b539aa' class='xr-var-data-in' type='checkbox'><label for='data-3c943cf7-65e3-489a-8231-af3298b539aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-93c7f95a-5046-4336-becb-1e0d74aa3667' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c7f95a-5046-4336-becb-1e0d74aa3667' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59de7fd-5d0b-48cb-a23e-9d6181d4608a' class='xr-var-data-in' type='checkbox'><label for='data-b59de7fd-5d0b-48cb-a23e-9d6181d4608a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-a14fb578-d5d4-45d3-8795-67dc4e8fd940' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a14fb578-d5d4-45d3-8795-67dc4e8fd940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-504ce7fb-35e9-406c-a801-af5275e40391' class='xr-var-data-in' type='checkbox'><label for='data-504ce7fb-35e9-406c-a801-af5275e40391' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b4011682-a6f7-482c-9cff-ceae2038646e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4011682-a6f7-482c-9cff-ceae2038646e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-410f12b2-b124-4051-81e0-05630d7298fc' class='xr-var-data-in' type='checkbox'><label for='data-410f12b2-b124-4051-81e0-05630d7298fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-25c2fee2-b7b2-4b02-9b0e-9e62959bb58f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25c2fee2-b7b2-4b02-9b0e-9e62959bb58f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93396117-1f98-4d6e-9bd9-1ff225a8aca4' class='xr-var-data-in' type='checkbox'><label for='data-93396117-1f98-4d6e-9bd9-1ff225a8aca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-4e9e8131-e46a-4c00-b42c-600a53a71a07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e9e8131-e46a-4c00-b42c-600a53a71a07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14d04bba-3976-43dd-b5f1-93ea195523ea' class='xr-var-data-in' type='checkbox'><label for='data-14d04bba-3976-43dd-b5f1-93ea195523ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f59e58c2-ef4f-4c54-bf12-348cf62dfdeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f59e58c2-ef4f-4c54-bf12-348cf62dfdeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-547573d5-efc1-45d3-9abb-2e4e9f86e5bf' class='xr-var-data-in' type='checkbox'><label for='data-547573d5-efc1-45d3-9abb-2e4e9f86e5bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-a49308fd-e972-47a2-a831-f6a1c0774098' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a49308fd-e972-47a2-a831-f6a1c0774098' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e41bcc41-1ba2-44a3-a8f6-d88a84b3f1f7' class='xr-var-data-in' type='checkbox'><label for='data-e41bcc41-1ba2-44a3-a8f6-d88a84b3f1f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ed1706a0-e2fd-43c6-b5c0-10a8305ad95b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed1706a0-e2fd-43c6-b5c0-10a8305ad95b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a865571-5717-4eba-8837-448637903bf6' class='xr-var-data-in' type='checkbox'><label for='data-7a865571-5717-4eba-8837-448637903bf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3417ad0c-38fa-4fff-ba82-db4f1b2ea5a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3417ad0c-38fa-4fff-ba82-db4f1b2ea5a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bea37fe2-0c3e-41a2-b61e-c1e6897fbe22' class='xr-var-data-in' type='checkbox'><label for='data-bea37fe2-0c3e-41a2-b61e-c1e6897fbe22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-036d2b6c-1c12-4be2-8a29-1bb3a3d1d4e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-036d2b6c-1c12-4be2-8a29-1bb3a3d1d4e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82d6656b-080b-4098-a348-f8a403340ab9' class='xr-var-data-in' type='checkbox'><label for='data-82d6656b-080b-4098-a348-f8a403340ab9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-bcffe3a1-c0f6-43fe-b3f8-533e9fc2753c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcffe3a1-c0f6-43fe-b3f8-533e9fc2753c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc8d60a5-bf56-477f-9feb-f65cbf5b15b5' class='xr-var-data-in' type='checkbox'><label for='data-fc8d60a5-bf56-477f-9feb-f65cbf5b15b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-5c0b31e3-d63b-4948-91ff-191af3e43442' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c0b31e3-d63b-4948-91ff-191af3e43442' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a55ca110-e543-41fb-82f6-7b72647a9bad' class='xr-var-data-in' type='checkbox'><label for='data-a55ca110-e543-41fb-82f6-7b72647a9bad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d70f4e3f-c9c1-4182-b00c-2713344e2a0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d70f4e3f-c9c1-4182-b00c-2713344e2a0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae32e49-2fb8-42a8-be43-7d8df4808bac' class='xr-var-data-in' type='checkbox'><label for='data-3ae32e49-2fb8-42a8-be43-7d8df4808bac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-1bd445b2-dfa5-4724-9de6-32510df5b961' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bd445b2-dfa5-4724-9de6-32510df5b961' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbf06818-a789-4b38-ada3-ae4a238a02bc' class='xr-var-data-in' type='checkbox'><label for='data-cbf06818-a789-4b38-ada3-ae4a238a02bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0eb475fb-3fa6-4aae-b922-151ab341cfee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eb475fb-3fa6-4aae-b922-151ab341cfee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f9c465e-b754-48f2-b0b0-5da99eacee32' class='xr-var-data-in' type='checkbox'><label for='data-9f9c465e-b754-48f2-b0b0-5da99eacee32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-114d90f5-79e4-441a-bce6-68459dba45b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-114d90f5-79e4-441a-bce6-68459dba45b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22bed9fe-fd3b-4541-8c95-b8b302682e39' class='xr-var-data-in' type='checkbox'><label for='data-22bed9fe-fd3b-4541-8c95-b8b302682e39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-5ef12395-2fe3-4231-a15f-c8593d9dbeb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ef12395-2fe3-4231-a15f-c8593d9dbeb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a39a2f50-b8e0-48d7-8500-122a9862a1bd' class='xr-var-data-in' type='checkbox'><label for='data-a39a2f50-b8e0-48d7-8500-122a9862a1bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-fc16580b-1fcb-49b2-881b-1f55630fa9d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc16580b-1fcb-49b2-881b-1f55630fa9d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10263c30-07fd-45df-b74e-d9ddb15163ca' class='xr-var-data-in' type='checkbox'><label for='data-10263c30-07fd-45df-b74e-d9ddb15163ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-5632a58a-5f72-4d30-8493-14fd20e85254' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5632a58a-5f72-4d30-8493-14fd20e85254' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-468f4fae-0e8f-41f0-8597-cb35fae339a1' class='xr-var-data-in' type='checkbox'><label for='data-468f4fae-0e8f-41f0-8597-cb35fae339a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b1300622-2fd4-4360-90bd-5350129788fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1300622-2fd4-4360-90bd-5350129788fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-023f3163-8656-4e36-bc51-ad6e0f21f9c7' class='xr-var-data-in' type='checkbox'><label for='data-023f3163-8656-4e36-bc51-ad6e0f21f9c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f4fe56bd-6d1e-4d2f-a138-7a34214dc9d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4fe56bd-6d1e-4d2f-a138-7a34214dc9d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceec72f5-601c-4160-9676-be1db1fb5d6e' class='xr-var-data-in' type='checkbox'><label for='data-ceec72f5-601c-4160-9676-be1db1fb5d6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f98dfbec-c337-4eee-835f-35c9b7abbfa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f98dfbec-c337-4eee-835f-35c9b7abbfa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c159f5f1-0569-4383-86c1-5fdee7393f06' class='xr-var-data-in' type='checkbox'><label for='data-c159f5f1-0569-4383-86c1-5fdee7393f06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-77f896ac-3b1e-4e18-9e34-86d259ee70f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77f896ac-3b1e-4e18-9e34-86d259ee70f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bac07839-2b2a-4df4-afb2-1ed8bfe21038' class='xr-var-data-in' type='checkbox'><label for='data-bac07839-2b2a-4df4-afb2-1ed8bfe21038' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-1e74e6e7-51e7-4b7a-b4d3-120e9b1ba750' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e74e6e7-51e7-4b7a-b4d3-120e9b1ba750' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91149661-4634-44d1-b161-e4447deb0156' class='xr-var-data-in' type='checkbox'><label for='data-91149661-4634-44d1-b161-e4447deb0156' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-93c329e8-21cf-4b4c-b5a8-3585456f7b27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c329e8-21cf-4b4c-b5a8-3585456f7b27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db3e5a55-c26f-41b6-912d-0af4f45edb82' class='xr-var-data-in' type='checkbox'><label for='data-db3e5a55-c26f-41b6-912d-0af4f45edb82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-4120dbed-2e0a-4649-a67c-cef1aa1becb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4120dbed-2e0a-4649-a67c-cef1aa1becb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af070404-e93b-4340-a400-f02632a3389b' class='xr-var-data-in' type='checkbox'><label for='data-af070404-e93b-4340-a400-f02632a3389b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-92dfb0cb-a428-4112-baec-3e28140114e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92dfb0cb-a428-4112-baec-3e28140114e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba40889e-6b29-4edd-ba3b-3a3d06291171' class='xr-var-data-in' type='checkbox'><label for='data-ba40889e-6b29-4edd-ba3b-3a3d06291171' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-46855820-2ead-460c-8eae-1cee43d8991e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46855820-2ead-460c-8eae-1cee43d8991e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e8ea821-0989-4165-9135-57f5deb767e8' class='xr-var-data-in' type='checkbox'><label for='data-1e8ea821-0989-4165-9135-57f5deb767e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-cbd20d68-f499-488d-823e-6383273e86b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbd20d68-f499-488d-823e-6383273e86b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57eb3e0b-976a-4e21-aa74-b04b5b3739ae' class='xr-var-data-in' type='checkbox'><label for='data-57eb3e0b-976a-4e21-aa74-b04b5b3739ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2147ac06-5f84-43ec-bd07-89131db0279f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2147ac06-5f84-43ec-bd07-89131db0279f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e096c470-94cf-48ec-a3fb-99ceaf082aac' class='xr-var-data-in' type='checkbox'><label for='data-e096c470-94cf-48ec-a3fb-99ceaf082aac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-a68b5417-0059-459b-b6dd-ad246a5c1d62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a68b5417-0059-459b-b6dd-ad246a5c1d62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21a241ca-2c1d-46c4-8ff5-6798b684022a' class='xr-var-data-in' type='checkbox'><label for='data-21a241ca-2c1d-46c4-8ff5-6798b684022a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-122ebdff-fef3-46c7-a860-880d0a55110c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-122ebdff-fef3-46c7-a860-880d0a55110c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03e13d2a-b091-4b9b-a585-5953bc10d062' class='xr-var-data-in' type='checkbox'><label for='data-03e13d2a-b091-4b9b-a585-5953bc10d062' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2f8f33ab-d8f9-4126-9ae2-0a441861c7c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f8f33ab-d8f9-4126-9ae2-0a441861c7c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-805ea936-f820-43b9-b08d-7e4e4a3a455b' class='xr-var-data-in' type='checkbox'><label for='data-805ea936-f820-43b9-b08d-7e4e4a3a455b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-c43b31a8-1ba8-4a29-9f01-1c6a242f30e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c43b31a8-1ba8-4a29-9f01-1c6a242f30e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-302c7410-527a-44ba-8321-11d9741532ff' class='xr-var-data-in' type='checkbox'><label for='data-302c7410-527a-44ba-8321-11d9741532ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f66c5710-903e-4df5-ae8f-3b0abc1dcd8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f66c5710-903e-4df5-ae8f-3b0abc1dcd8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6ec227e-77db-4efa-87cc-82597ea8fb9d' class='xr-var-data-in' type='checkbox'><label for='data-b6ec227e-77db-4efa-87cc-82597ea8fb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8f98377d-300d-4f9e-a3ae-2fe27d0a21ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f98377d-300d-4f9e-a3ae-2fe27d0a21ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f8d7051-5ec5-4596-adc8-8f69977d9081' class='xr-var-data-in' type='checkbox'><label for='data-9f8d7051-5ec5-4596-adc8-8f69977d9081' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3f76e998-fbb1-4378-bae1-a021a6021c95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f76e998-fbb1-4378-bae1-a021a6021c95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a3b27cf-3d94-46aa-9fb2-9e7d7b3e4264' class='xr-var-data-in' type='checkbox'><label for='data-9a3b27cf-3d94-46aa-9fb2-9e7d7b3e4264' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ed3904ef-ccfd-470d-88e5-9e892651b714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed3904ef-ccfd-470d-88e5-9e892651b714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00239e2d-2604-4a15-b65a-67fbedc1ffc3' class='xr-var-data-in' type='checkbox'><label for='data-00239e2d-2604-4a15-b65a-67fbedc1ffc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-ef234924-50fb-4c23-b377-ca9050bf07ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef234924-50fb-4c23-b377-ca9050bf07ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ede25c8-657f-4374-84a7-5af33daad90f' class='xr-var-data-in' type='checkbox'><label for='data-9ede25c8-657f-4374-84a7-5af33daad90f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-582225b0-d6e5-41d9-a59f-20489af141a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-582225b0-d6e5-41d9-a59f-20489af141a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64b58b91-5f29-4371-b6d4-d885c0318295' class='xr-var-data-in' type='checkbox'><label for='data-64b58b91-5f29-4371-b6d4-d885c0318295' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f5b74ba9-08d1-44f5-a0c2-1739e52f5f2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5b74ba9-08d1-44f5-a0c2-1739e52f5f2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06f16b0d-6cb2-4bdb-ac9e-00e2884e7bdb' class='xr-var-data-in' type='checkbox'><label for='data-06f16b0d-6cb2-4bdb-ac9e-00e2884e7bdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9c36780f-a81b-4cf2-882a-019647a3a306' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c36780f-a81b-4cf2-882a-019647a3a306' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e7ba7e3-a21c-4c77-8b18-4e07492ab8d5' class='xr-var-data-in' type='checkbox'><label for='data-9e7ba7e3-a21c-4c77-8b18-4e07492ab8d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-1b955faf-ac07-4352-960a-4c63062ffe42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b955faf-ac07-4352-960a-4c63062ffe42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f922df7b-2677-424f-9444-4697238aa97e' class='xr-var-data-in' type='checkbox'><label for='data-f922df7b-2677-424f-9444-4697238aa97e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9a2821d5-b610-4c5d-aba6-0a22329ffd56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a2821d5-b610-4c5d-aba6-0a22329ffd56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a941c09-93e7-4c07-a90a-79ad789244a1' class='xr-var-data-in' type='checkbox'><label for='data-4a941c09-93e7-4c07-a90a-79ad789244a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0bbc23d9-7c62-4c93-b20f-ea025c832619' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bbc23d9-7c62-4c93-b20f-ea025c832619' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e670e9f4-d38c-4284-8724-32e6ed41d7b4' class='xr-var-data-in' type='checkbox'><label for='data-e670e9f4-d38c-4284-8724-32e6ed41d7b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2be7661c-e3ce-4528-afb9-8948dffa29eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2be7661c-e3ce-4528-afb9-8948dffa29eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-391f25d0-1f1e-46cb-9d1a-38b80cf267b1' class='xr-var-data-in' type='checkbox'><label for='data-391f25d0-1f1e-46cb-9d1a-38b80cf267b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b8c63915-40ba-4b7e-a20c-b4a950e69183' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8c63915-40ba-4b7e-a20c-b4a950e69183' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40eebb83-e3d7-4218-ad82-7d891e2a40d3' class='xr-var-data-in' type='checkbox'><label for='data-40eebb83-e3d7-4218-ad82-7d891e2a40d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9b53dabb-b017-4bba-b056-3b743a19aa21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b53dabb-b017-4bba-b056-3b743a19aa21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ea39b2-ead8-4730-9b9b-d217ea062030' class='xr-var-data-in' type='checkbox'><label for='data-d2ea39b2-ead8-4730-9b9b-d217ea062030' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f50e63a2-11c3-4797-afa6-79319cc1b89d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f50e63a2-11c3-4797-afa6-79319cc1b89d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d72bc2f6-1d92-4d37-a459-f94cf4b572d8' class='xr-var-data-in' type='checkbox'><label for='data-d72bc2f6-1d92-4d37-a459-f94cf4b572d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e4ba3d87-a4e9-45a3-b10a-1de17e7f6faa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4ba3d87-a4e9-45a3-b10a-1de17e7f6faa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbe4d146-baa6-494e-b95f-6966748fc2bc' class='xr-var-data-in' type='checkbox'><label for='data-cbe4d146-baa6-494e-b95f-6966748fc2bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-db7eb254-0be1-4a18-9bae-1ca6035df462' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db7eb254-0be1-4a18-9bae-1ca6035df462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f9b23a4-b9bc-428e-ab57-157028d2927b' class='xr-var-data-in' type='checkbox'><label for='data-5f9b23a4-b9bc-428e-ab57-157028d2927b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8603eb74-8467-40b1-ba56-dd9673ab9e0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8603eb74-8467-40b1-ba56-dd9673ab9e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31765347-2e3c-43d5-8f46-035430c46af9' class='xr-var-data-in' type='checkbox'><label for='data-31765347-2e3c-43d5-8f46-035430c46af9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-9a2f0bfa-c264-4064-99e0-190928636078' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a2f0bfa-c264-4064-99e0-190928636078' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3be10dd9-0fe7-4a47-bae5-b0d9ffd93b3b' class='xr-var-data-in' type='checkbox'><label for='data-3be10dd9-0fe7-4a47-bae5-b0d9ffd93b3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-769e126b-0b58-4a5e-9044-8aaa16d4fb2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-769e126b-0b58-4a5e-9044-8aaa16d4fb2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f723edb-3c2b-42c9-bd01-1aced798439d' class='xr-var-data-in' type='checkbox'><label for='data-0f723edb-3c2b-42c9-bd01-1aced798439d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b5796e8c-0d6d-4c6e-9035-ca8eebd30a44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5796e8c-0d6d-4c6e-9035-ca8eebd30a44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51245262-bcda-4fe4-952c-046bc8cf55f6' class='xr-var-data-in' type='checkbox'><label for='data-51245262-bcda-4fe4-952c-046bc8cf55f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-368dbbc4-8ca0-45ea-b1b9-caf12b958b68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-368dbbc4-8ca0-45ea-b1b9-caf12b958b68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc87c9c3-3f56-4b14-beca-6c3c198ca49a' class='xr-var-data-in' type='checkbox'><label for='data-bc87c9c3-3f56-4b14-beca-6c3c198ca49a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-db8714e7-c462-4294-b704-835442d3eb65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db8714e7-c462-4294-b704-835442d3eb65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a06ffeb4-dc3f-46a3-a5d8-6e8d3bb90c3f' class='xr-var-data-in' type='checkbox'><label for='data-a06ffeb4-dc3f-46a3-a5d8-6e8d3bb90c3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-45795d33-4920-426c-a659-e201fb6ce15f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45795d33-4920-426c-a659-e201fb6ce15f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84f25876-6a05-45c6-a42e-f80ce891330f' class='xr-var-data-in' type='checkbox'><label for='data-84f25876-6a05-45c6-a42e-f80ce891330f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-45c86c6e-6a62-4eef-92ae-40cd950a172c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45c86c6e-6a62-4eef-92ae-40cd950a172c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-719b5253-05c0-4413-a990-201001d20a9c' class='xr-var-data-in' type='checkbox'><label for='data-719b5253-05c0-4413-a990-201001d20a9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-7dbfc3d0-ecfa-46c3-87f0-e02f7cb2f801' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dbfc3d0-ecfa-46c3-87f0-e02f7cb2f801' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58f6be35-e8f4-4f0a-910b-6a04d9d51d65' class='xr-var-data-in' type='checkbox'><label for='data-58f6be35-e8f4-4f0a-910b-6a04d9d51d65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-3ddc4cd2-da4f-452a-a31c-67c799302942' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ddc4cd2-da4f-452a-a31c-67c799302942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0d3975a-3fe9-4969-a522-b03bf2af287f' class='xr-var-data-in' type='checkbox'><label for='data-a0d3975a-3fe9-4969-a522-b03bf2af287f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-45c0490e-bcba-4c78-8c8b-67c795c07834' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45c0490e-bcba-4c78-8c8b-67c795c07834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f18a9239-5c08-4d40-b07c-bc295463f5a8' class='xr-var-data-in' type='checkbox'><label for='data-f18a9239-5c08-4d40-b07c-bc295463f5a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-046719b5-67a3-46e7-809d-7b1021e9bda9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-046719b5-67a3-46e7-809d-7b1021e9bda9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee9cb1b3-8df9-4696-b9bb-76c0a6e718a3' class='xr-var-data-in' type='checkbox'><label for='data-ee9cb1b3-8df9-4696-b9bb-76c0a6e718a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-86600b32-59c7-4c12-aeec-491f8607f08b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86600b32-59c7-4c12-aeec-491f8607f08b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cbbe1f9-f93b-415f-8b3b-f79c89706080' class='xr-var-data-in' type='checkbox'><label for='data-9cbbe1f9-f93b-415f-8b3b-f79c89706080' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e89c3e9f-c284-4372-9734-988dcceabad1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e89c3e9f-c284-4372-9734-988dcceabad1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-006300e5-3dd5-4643-b4d6-d48db9eae189' class='xr-var-data-in' type='checkbox'><label for='data-006300e5-3dd5-4643-b4d6-d48db9eae189' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f34bf53e-270f-4ff5-b6ed-8924b9ab28f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f34bf53e-270f-4ff5-b6ed-8924b9ab28f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2753ef13-886f-4100-95f6-904650ea5794' class='xr-var-data-in' type='checkbox'><label for='data-2753ef13-886f-4100-95f6-904650ea5794' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-d478384e-79d4-4688-88ca-103169a3a034' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d478384e-79d4-4688-88ca-103169a3a034' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0846d552-870f-4892-8912-c5d36c4c4561' class='xr-var-data-in' type='checkbox'><label for='data-0846d552-870f-4892-8912-c5d36c4c4561' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8f611892-dd03-482c-9621-faad13a95784' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f611892-dd03-482c-9621-faad13a95784' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e24dfb-dab8-41d9-a48d-546654e65e3d' class='xr-var-data-in' type='checkbox'><label for='data-b5e24dfb-dab8-41d9-a48d-546654e65e3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-10669e1b-b531-4144-a514-46209042a97d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10669e1b-b531-4144-a514-46209042a97d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-596f1b6d-623f-49ad-aff0-f0d0307ff2f3' class='xr-var-data-in' type='checkbox'><label for='data-596f1b6d-623f-49ad-aff0-f0d0307ff2f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-2923e2dd-3595-486f-85c6-75bfa9af246d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2923e2dd-3595-486f-85c6-75bfa9af246d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01959a93-024c-4dd9-8944-c1def4411869' class='xr-var-data-in' type='checkbox'><label for='data-01959a93-024c-4dd9-8944-c1def4411869' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-267d111f-48a9-454e-9a22-05166894e5bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-267d111f-48a9-454e-9a22-05166894e5bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-033c8ef6-3d57-4410-bad1-515b2e0bfe3c' class='xr-var-data-in' type='checkbox'><label for='data-033c8ef6-3d57-4410-bad1-515b2e0bfe3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b1f9e4e9-dca9-4e38-990c-9c2fa8e7554c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1f9e4e9-dca9-4e38-990c-9c2fa8e7554c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-049497a5-7e96-4bad-a9d4-243d0410610d' class='xr-var-data-in' type='checkbox'><label for='data-049497a5-7e96-4bad-a9d4-243d0410610d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-f05b8dbc-5590-4ec2-b83e-cfc62dfb018a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f05b8dbc-5590-4ec2-b83e-cfc62dfb018a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c2b13da-ad46-474b-9ad4-b2bb848997f7' class='xr-var-data-in' type='checkbox'><label for='data-8c2b13da-ad46-474b-9ad4-b2bb848997f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-62bb81c0-386f-4a76-9935-aeb3654736a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62bb81c0-386f-4a76-9935-aeb3654736a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0581e6b-d297-499f-9844-4e75b044a208' class='xr-var-data-in' type='checkbox'><label for='data-b0581e6b-d297-499f-9844-4e75b044a208' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-b87a9ad6-c4b7-478d-bbd2-296a6c3e53c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b87a9ad6-c4b7-478d-bbd2-296a6c3e53c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a15e74d-be9e-4c69-b56a-9bcdb75fa171' class='xr-var-data-in' type='checkbox'><label for='data-2a15e74d-be9e-4c69-b56a-9bcdb75fa171' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-93e57583-e9b1-4e0e-ac04-eb6657408d35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93e57583-e9b1-4e0e-ac04-eb6657408d35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cc7b28f-05a1-450a-bf65-ff3a7308908c' class='xr-var-data-in' type='checkbox'><label for='data-8cc7b28f-05a1-450a-bf65-ff3a7308908c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-71534424-1062-4843-98ac-1b2b49662890' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71534424-1062-4843-98ac-1b2b49662890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa7b8282-819b-4d34-8437-f95450eebef7' class='xr-var-data-in' type='checkbox'><label for='data-fa7b8282-819b-4d34-8437-f95450eebef7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-374418f8-a454-47bb-b687-b358ef8068b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-374418f8-a454-47bb-b687-b358ef8068b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f5a47ec-ccee-495c-8a0a-ab3506e45f77' class='xr-var-data-in' type='checkbox'><label for='data-2f5a47ec-ccee-495c-8a0a-ab3506e45f77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e3f050ec-783b-482f-afaf-7ced06e5334e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3f050ec-783b-482f-afaf-7ced06e5334e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98ada05e-8d25-4019-bf02-68543eaa5b25' class='xr-var-data-in' type='checkbox'><label for='data-98ada05e-8d25-4019-bf02-68543eaa5b25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-39c57dd2-d683-4a05-ba82-63ce07f3d69d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39c57dd2-d683-4a05-ba82-63ce07f3d69d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-685a3de6-5332-4e19-bdd5-843530b9e64f' class='xr-var-data-in' type='checkbox'><label for='data-685a3de6-5332-4e19-bdd5-843530b9e64f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-0f194d4f-f6a3-4108-9bb4-def1842c9c5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f194d4f-f6a3-4108-9bb4-def1842c9c5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c573e808-b54e-4f7e-b326-3c8044c95a6f' class='xr-var-data-in' type='checkbox'><label for='data-c573e808-b54e-4f7e-b326-3c8044c95a6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-e17f5e40-3d7b-4156-bbc2-3d8064cf825c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e17f5e40-3d7b-4156-bbc2-3d8064cf825c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2895b722-97b6-46d2-9974-9214355ad9e1' class='xr-var-data-in' type='checkbox'><label for='data-2895b722-97b6-46d2-9974-9214355ad9e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-08b329b3-21ef-4461-ab56-3f4613a8acc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08b329b3-21ef-4461-ab56-3f4613a8acc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a364950f-de31-41ac-a69d-68f7c2d5a862' class='xr-var-data-in' type='checkbox'><label for='data-a364950f-de31-41ac-a69d-68f7c2d5a862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-866ae20f-1dc1-40ed-baf1-155d848b6be2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-866ae20f-1dc1-40ed-baf1-155d848b6be2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c4a67c9-59ed-4bdd-88be-0e8251b5634b' class='xr-var-data-in' type='checkbox'><label for='data-6c4a67c9-59ed-4bdd-88be-0e8251b5634b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 44, 107), meta=np.ndarray&gt;</div><input id='attrs-8e87da27-3b5f-4a13-aa50-8c36d279cc40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e87da27-3b5f-4a13-aa50-8c36d279cc40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceaa0dc2-f977-4638-9b05-b6b9970e7b08' class='xr-var-data-in' type='checkbox'><label for='data-ceaa0dc2-f977-4638-9b05-b6b9970e7b08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 18.39 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (1, 44, 107) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3722628 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
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+       "</svg>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-77e117c9-39ea-41e6-88df-282689828cbf' class='xr-section-summary-in' type='checkbox'  ><label for='section-77e117c9-39ea-41e6-88df-282689828cbf' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>crs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9dc581f9-15e5-47f5-abdd-60e616786c30' class='xr-index-data-in' type='checkbox'/><label for='index-9dc581f9-15e5-47f5-abdd-60e616786c30' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int32&#x27;, name=&#x27;crs&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c9ca122e-d3b9-432e-aea2-8c353f880ec4' class='xr-index-data-in' type='checkbox'/><label for='index-c9ca122e-d3b9-432e-aea2-8c353f880ec4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([25.063077926635742,  25.10474395751953,  25.14640998840332,\n",
+       "        25.18807601928711,   25.2297420501709, 25.271408081054688,\n",
+       "       25.313074111938477, 25.354740142822266, 25.396406173706055,\n",
+       "       25.438072204589844,\n",
+       "       ...\n",
+       "        49.02103042602539,  49.06269454956055,  49.10436248779297,\n",
+       "       49.146026611328125,  49.18769454956055,   49.2293586730957,\n",
+       "       49.271026611328125,  49.31269073486328,   49.3543586730957,\n",
+       "        49.39602279663086],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=585))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cf21451a-4caa-4b5b-bb50-49bbb87f1a6c' class='xr-index-data-in' type='checkbox'/><label for='index-cf21451a-4caa-4b5b-bb50-49bbb87f1a6c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([235.22784423828125, 235.26950073242188,  235.3111572265625,\n",
+       "       235.35284423828125, 235.39450073242188,  235.4361572265625,\n",
+       "        235.4778289794922, 235.51950073242188,  235.5611572265625,\n",
+       "        235.6028289794922,\n",
+       "       ...\n",
+       "       292.56024169921875,  292.6019287109375,  292.6435852050781,\n",
+       "       292.68524169921875,  292.7269287109375,  292.7685852050781,\n",
+       "       292.81024169921875,  292.8519287109375,  292.8935852050781,\n",
+       "       292.93524169921875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1386))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-153641ce-496d-4fc0-adea-2187a3b5a259' class='xr-index-data-in' type='checkbox'/><label for='index-153641ce-496d-4fc0-adea-2187a3b5a259' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1950-01-01&#x27;, &#x27;1950-01-02&#x27;, &#x27;1950-01-03&#x27;, &#x27;1950-01-04&#x27;,\n",
+       "               &#x27;1950-01-05&#x27;, &#x27;1950-01-06&#x27;, &#x27;1950-01-07&#x27;, &#x27;1950-01-08&#x27;,\n",
+       "               &#x27;1950-01-09&#x27;, &#x27;1950-01-10&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2005-12-22&#x27;, &#x27;2005-12-23&#x27;, &#x27;2005-12-24&#x27;, &#x27;2005-12-25&#x27;,\n",
+       "               &#x27;2005-12-26&#x27;, &#x27;2005-12-27&#x27;, &#x27;2005-12-28&#x27;, &#x27;2005-12-29&#x27;,\n",
+       "               &#x27;2005-12-30&#x27;, &#x27;2005-12-31&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=20454, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ba289f5-6c9c-4f2e-b428-8628cb61e388' class='xr-section-summary-in' type='checkbox'  ><label for='section-1ba289f5-6c9c-4f2e-b428-8628cb61e388' class='xr-section-summary' >Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Multivariate Adaptive Constructed Analogs (MACA) method, version 2.3,Dec 2013.</dd><dt><span>id :</span></dt><dd>MACAv2-METDATA</dd><dt><span>naming_authority :</span></dt><dd>edu.uidaho.reacch</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Metadata_Link :</span></dt><dd></dd><dt><span>cdm_data_type :</span></dt><dd>GRID</dd><dt><span>title :</span></dt><dd>Downscaled daily meteorological data of Precipitation from College of Global Change and Earth System Science, Beijing Normal University (BNU-ESM) using the run r1i1p1 of the historical scenario.</dd><dt><span>summary :</span></dt><dd>This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin)precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modellers.</dd><dt><span>keywords :</span></dt><dd>daily precipitation, daily maximum temperature, daily minimum temperature, daily downward shortwave solar radiation, daily specific humidity, daily wind velocity, CMIP5, Gridded Meteorological Data</dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>No revisions.</dd><dt><span>comment :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-124.7722 25.0631,-124.7722 49.3960, -67.0648 49.3960,-67.0648, 25.0631, -124.7722,25.0631))</dd><dt><span>geospatial_lat_min :</span></dt><dd>25.0631</dd><dt><span>geospatial_lat_max :</span></dt><dd>49.3960</dd><dt><span>geospatial_lon_min :</span></dt><dd>-124.7722</dd><dt><span>geospatial_lon_max :</span></dt><dd>-67.0648</dd><dt><span>geospatial_lat_units :</span></dt><dd>decimal degrees north</dd><dt><span>geospatial_lon_units :</span></dt><dd>decimal degrees east</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>time_coverage_start :</span></dt><dd>1950-01-01T00:0</dd><dt><span>time_coverage_end :</span></dt><dd>1954-12-31T00:00</dd><dt><span>time_coverage_duration :</span></dt><dd>P5Y</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>date_created :</span></dt><dd>2014-05-15</dd><dt><span>date_modified :</span></dt><dd>2014-05-15</dd><dt><span>date_issued :</span></dt><dd>2014-05-15</dd><dt><span>creator_name :</span></dt><dd>John Abatzoglou</dd><dt><span>creator_url :</span></dt><dd>http://maca.northwestknowledge.net</dd><dt><span>creator_email :</span></dt><dd>jabatzoglou@uidaho.edu</dd><dt><span>institution :</span></dt><dd>University of Idaho</dd><dt><span>processing_level :</span></dt><dd>GRID</dd><dt><span>project :</span></dt><dd></dd><dt><span>contributor_name :</span></dt><dd>Katherine C. Hegewisch</dd><dt><span>contributor_role :</span></dt><dd>Postdoctoral Fellow</dd><dt><span>publisher_name :</span></dt><dd>REACCH</dd><dt><span>publisher_email :</span></dt><dd></dd><dt><span>publisher_url :</span></dt><dd>http://www.reacchpna.org/</dd><dt><span>license :</span></dt><dd>Creative Commons CC0 1.0 Universal Dedication(http://creativecommons.org/publicdomain/zero/1.0/legalcode)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                                  (crs: 1, lat: 585, lon: 1386,\n",
+       "                                              time: 20454)\n",
+       "Coordinates:\n",
+       "  * crs                                      (crs) int32 1\n",
+       "  * lat                                      (lat) float64 25.06 25.1 ... 49.4\n",
+       "  * lon                                      (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                     (time) datetime64[ns] 1950-01-01...\n",
+       "Data variables: (12/176)\n",
+       "    huss_BNU-ESM_r1i1p1_historical           (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_CCSM4_r6i1p1_historical             (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_CNRM-CM5_r1i1p1_historical          (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_CSIRO-Mk3-6-0_r1i1p1_historical     (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_CanESM2_r1i1p1_historical           (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    huss_GFDL-ESM2G_r1i1p1_historical        (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    ...                                       ...\n",
+       "    vas_MIROC5_r1i1p1_historical             (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_MRI-CGCM3_r1i1p1_historical          (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_NorESM1-M_r1i1p1_historical          (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_historical       (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_bcc-csm1-1_r1i1p1_historical         (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "    vas_inmcm4_r1i1p1_historical             (time, lat, lon) float32 dask.array<chunksize=(1, 44, 107), meta=np.ndarray>\n",
+       "Attributes: (12/45)\n",
+       "    description:                     Multivariate Adaptive Constructed Analog...\n",
+       "    id:                              MACAv2-METDATA\n",
+       "    naming_authority:                edu.uidaho.reacch\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    ...                              ...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    publisher_name:                  REACCH\n",
+       "    publisher_email:                 \n",
+       "    publisher_url:                   http://www.reacchpna.org/\n",
+       "    license:                         Creative Commons CC0 1.0 Universal Dedic..."
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# lazy-load\n",
+    "ds_in = xr.open_mfdataset(worklist, chunks={})  #, decode_times=False)\n",
+    "# and show it:\n",
+    "ds_in"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'zlib': True,\n",
+       " 'szip': False,\n",
+       " 'zstd': False,\n",
+       " 'bzip2': False,\n",
+       " 'blosc': False,\n",
+       " 'shuffle': False,\n",
+       " 'complevel': 1,\n",
+       " 'fletcher32': False,\n",
+       " 'contiguous': False,\n",
+       " 'chunksizes': (1, 44, 107),\n",
+       " 'preferred_chunks': {'time': 1, 'lat': 44, 'lon': 107},\n",
+       " 'source': '/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/macav2_historical_daily.ncmlhuss_BNU-ESM_r1i1p1_historical.nc',\n",
+       " 'original_shape': (20454, 585, 1386),\n",
+       " 'dtype': dtype('int16'),\n",
+       " 'missing_value': -9999,\n",
+       " '_FillValue': -9999,\n",
+       " 'scale_factor': 1e-05,\n",
+       " 'coordinates': 'time lon lat'}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_in['huss_BNU-ESM_r1i1p1_historical'].encoding"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Establish the chunking plan\n",
+    "I ran Parkers N. chunk_shape_3D notebook and after discussing with Dave B. using a total chunk size of 50 Mb for this dataset, the determined chunk plan is below.\n",
+    "\n",
+    "```\n",
+    "Ideal number of values in a chunk = 13107200.0\n",
+    "Ideal number of chunks = 1265.3\n",
+    "Ideal number of chunks along each 2D axis = 6.0\n",
+    "\n",
+    "--- Candidates ---\n",
+    "[575, 98, 232]: Total size per chunk (MB): 49.9 (ratio: 0.997)\n",
+    "[575, 98, 233]: Total size per chunk (MB): 50.1 (ratio: 1.002)\n",
+    "[575, 99, 232]: Total size per chunk (MB): 50.4 (ratio: 1.008)\n",
+    "[575, 99, 233]: Total size per chunk (MB): 50.6 (ratio: 1.012)\n",
+    "[576, 98, 232]: Total size per chunk (MB): 50.0 (ratio: 0.999)\n",
+    "[576, 98, 233]: Total size per chunk (MB): 50.2 (ratio: 1.003)\n",
+    "[576, 99, 232]: Total size per chunk (MB): 50.5 (ratio: 1.009)\n",
+    "[576, 99, 233]: Total size per chunk (MB): 50.7 (ratio: 1.014)\n",
+    "\n",
+    "Chunk sizes: [576, 98, 232]\n",
+    "  Number of values: 13095936\n",
+    "  Size: 49.96 MB\n",
+    "  Efficiency ratio: 0.999\n",
+    "\n",
+    "--------------- Access type information ---------------\n",
+    "  Time-series: Number of chunks: 36; Data read: 1798.5 MB\n",
+    "Spatial slice: Number of chunks: 36; Data read: 1798.5 MB\n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chunk_plan={\n",
+    "        'time': 576, \n",
+    "        'lat': 98,\n",
+    "        'lon': 232\n",
+    "    }"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Loop\n",
+    "For each `.nc` in the worklist, re-write it as a zarr using the above chunk plan."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Finished: vas_CCSM4_r6i1p1_historical_monthly.zarr 1/176 processed.\n",
+      "Finished: rsds_CCSM4_r6i1p1_historical_monthly.zarr 2/176 processed.\n",
+      "Finished: rhsmax_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 3/176 processed.\n",
+      "Finished: huss_bcc-csm1-1_r1i1p1_historical_monthly.zarr 4/176 processed.\n",
+      "Finished: uas_MIROC-ESM_r1i1p1_historical_monthly.zarr 5/176 processed.\n",
+      "Finished: rsds_BNU-ESM_r1i1p1_historical_monthly.zarr 6/176 processed.\n",
+      "Finished: rhsmax_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 7/176 processed.\n",
+      "Finished: tasmin_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 8/176 processed.\n",
+      "Finished: tasmax_CanESM2_r1i1p1_historical_monthly.zarr 9/176 processed.\n",
+      "Finished: vas_CNRM-CM5_r1i1p1_historical_monthly.zarr 10/176 processed.\n",
+      "Finished: uas_NorESM1-M_r1i1p1_historical_monthly.zarr 11/176 processed.\n",
+      "Finished: vas_MRI-CGCM3_r1i1p1_historical_monthly.zarr 12/176 processed.\n",
+      "Finished: rsds_MIROC-ESM_r1i1p1_historical_monthly.zarr 13/176 processed.\n",
+      "Finished: vas_MIROC-ESM_r1i1p1_historical_monthly.zarr 14/176 processed.\n",
+      "Finished: tasmin_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 15/176 processed.\n",
+      "Finished: tasmin_BNU-ESM_r1i1p1_historical_monthly.zarr 16/176 processed.\n",
+      "Finished: uas_CCSM4_r6i1p1_historical_monthly.zarr 17/176 processed.\n",
+      "Finished: tasmin_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 18/176 processed.\n",
+      "Finished: rhsmin_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 19/176 processed.\n",
+      "Finished: rhsmin_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 20/176 processed.\n",
+      "Finished: rhsmax_CNRM-CM5_r1i1p1_historical_monthly.zarr 21/176 processed.\n",
+      "Finished: rhsmax_MRI-CGCM3_r1i1p1_historical_monthly.zarr 22/176 processed.\n",
+      "Finished: tasmax_BNU-ESM_r1i1p1_historical_monthly.zarr 23/176 processed.\n",
+      "Finished: uas_MIROC5_r1i1p1_historical_monthly.zarr 24/176 processed.\n",
+      "Finished: rhsmin_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 25/176 processed.\n",
+      "Finished: rsds_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 26/176 processed.\n",
+      "Finished: vas_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 27/176 processed.\n",
+      "Finished: uas_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 28/176 processed.\n",
+      "Finished: tasmax_CNRM-CM5_r1i1p1_historical_monthly.zarr 29/176 processed.\n",
+      "Finished: tasmax_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 30/176 processed.\n",
+      "Finished: rhsmax_CanESM2_r1i1p1_historical_monthly.zarr 31/176 processed.\n",
+      "Finished: tasmin_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 32/176 processed.\n",
+      "Finished: rhsmin_MIROC-ESM_r1i1p1_historical_monthly.zarr 33/176 processed.\n",
+      "Finished: rhsmin_MRI-CGCM3_r1i1p1_historical_monthly.zarr 34/176 processed.\n",
+      "Finished: pr_inmcm4_r1i1p1_historical_monthly.zarr 35/176 processed.\n",
+      "Finished: tasmax_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 36/176 processed.\n",
+      "Finished: pr_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 37/176 processed.\n",
+      "Finished: tasmax_NorESM1-M_r1i1p1_historical_monthly.zarr 38/176 processed.\n",
+      "Finished: rhsmax_inmcm4_r1i1p1_historical_monthly.zarr 39/176 processed.\n",
+      "Finished: huss_MIROC-ESM_r1i1p1_historical_monthly.zarr 40/176 processed.\n",
+      "Finished: rhsmax_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 41/176 processed.\n",
+      "Finished: tasmax_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 42/176 processed.\n",
+      "Finished: tasmax_MIROC5_r1i1p1_historical_monthly.zarr 43/176 processed.\n",
+      "Finished: rsds_CNRM-CM5_r1i1p1_historical_monthly.zarr 44/176 processed.\n",
+      "Finished: tasmax_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 45/176 processed.\n",
+      "Finished: uas_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 46/176 processed.\n",
+      "Finished: uas_CanESM2_r1i1p1_historical_monthly.zarr 47/176 processed.\n",
+      "Finished: rsds_CanESM2_r1i1p1_historical_monthly.zarr 48/176 processed.\n",
+      "Finished: vas_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 49/176 processed.\n",
+      "Finished: tasmin_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 50/176 processed.\n",
+      "Finished: vas_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 51/176 processed.\n",
+      "Finished: rhsmin_MIROC5_r1i1p1_historical_monthly.zarr 52/176 processed.\n",
+      "Finished: tasmax_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 53/176 processed.\n",
+      "Finished: vas_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 54/176 processed.\n",
+      "Finished: huss_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 55/176 processed.\n",
+      "Finished: tasmax_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 56/176 processed.\n",
+      "Finished: rhsmax_BNU-ESM_r1i1p1_historical_monthly.zarr 57/176 processed.\n",
+      "Finished: rhsmax_MIROC-ESM_r1i1p1_historical_monthly.zarr 58/176 processed.\n",
+      "Finished: uas_MRI-CGCM3_r1i1p1_historical_monthly.zarr 59/176 processed.\n",
+      "Finished: huss_NorESM1-M_r1i1p1_historical_monthly.zarr 60/176 processed.\n",
+      "Finished: rhsmin_inmcm4_r1i1p1_historical_monthly.zarr 61/176 processed.\n",
+      "Finished: pr_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 62/176 processed.\n",
+      "Finished: tasmin_MIROC-ESM_r1i1p1_historical_monthly.zarr 63/176 processed.\n",
+      "Finished: tasmin_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 64/176 processed.\n",
+      "Finished: rhsmin_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 65/176 processed.\n",
+      "Finished: rhsmax_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 66/176 processed.\n",
+      "Finished: huss_CCSM4_r6i1p1_historical_monthly.zarr 67/176 processed.\n",
+      "Finished: tasmin_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 68/176 processed.\n",
+      "Finished: vas_bcc-csm1-1_r1i1p1_historical_monthly.zarr 69/176 processed.\n",
+      "Finished: rsds_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 70/176 processed.\n",
+      "Finished: huss_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 71/176 processed.\n",
+      "Finished: pr_NorESM1-M_r1i1p1_historical_monthly.zarr 72/176 processed.\n",
+      "Finished: rsds_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 73/176 processed.\n",
+      "Finished: vas_NorESM1-M_r1i1p1_historical_monthly.zarr 74/176 processed.\n",
+      "Finished: pr_CanESM2_r1i1p1_historical_monthly.zarr 75/176 processed.\n",
+      "Finished: tasmax_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 76/176 processed.\n",
+      "Finished: vas_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 77/176 processed.\n",
+      "Finished: tasmin_MRI-CGCM3_r1i1p1_historical_monthly.zarr 78/176 processed.\n",
+      "Finished: rsds_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 79/176 processed.\n",
+      "Finished: rsds_MRI-CGCM3_r1i1p1_historical_monthly.zarr 80/176 processed.\n",
+      "Finished: uas_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 81/176 processed.\n",
+      "Finished: huss_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 82/176 processed.\n",
+      "Finished: rhsmin_BNU-ESM_r1i1p1_historical_monthly.zarr 83/176 processed.\n",
+      "Finished: rsds_MIROC5_r1i1p1_historical_monthly.zarr 84/176 processed.\n",
+      "Finished: tasmin_CNRM-CM5_r1i1p1_historical_monthly.zarr 85/176 processed.\n",
+      "Finished: uas_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 86/176 processed.\n",
+      "Finished: uas_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 87/176 processed.\n",
+      "Finished: rsds_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 88/176 processed.\n",
+      "Finished: rhsmin_CNRM-CM5_r1i1p1_historical_monthly.zarr 89/176 processed.\n",
+      "Finished: vas_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 90/176 processed.\n",
+      "Finished: huss_inmcm4_r1i1p1_historical_monthly.zarr 91/176 processed.\n",
+      "Finished: huss_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 92/176 processed.\n",
+      "Finished: tasmin_NorESM1-M_r1i1p1_historical_monthly.zarr 93/176 processed.\n",
+      "Finished: tasmin_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 94/176 processed.\n",
+      "Finished: pr_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 95/176 processed.\n",
+      "Finished: tasmin_bcc-csm1-1_r1i1p1_historical_monthly.zarr 96/176 processed.\n",
+      "Finished: tasmin_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 97/176 processed.\n",
+      "Finished: rhsmax_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 98/176 processed.\n",
+      "Finished: pr_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 99/176 processed.\n",
+      "Finished: rsds_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 100/176 processed.\n",
+      "Finished: huss_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 101/176 processed.\n",
+      "Finished: tasmin_inmcm4_r1i1p1_historical_monthly.zarr 102/176 processed.\n",
+      "Finished: tasmax_CCSM4_r6i1p1_historical_monthly.zarr 103/176 processed.\n",
+      "Finished: uas_inmcm4_r1i1p1_historical_monthly.zarr 104/176 processed.\n",
+      "Finished: tasmax_bcc-csm1-1_r1i1p1_historical_monthly.zarr 105/176 processed.\n",
+      "Finished: pr_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 106/176 processed.\n",
+      "Finished: rhsmin_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 107/176 processed.\n",
+      "Finished: rsds_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 108/176 processed.\n",
+      "Finished: vas_BNU-ESM_r1i1p1_historical_monthly.zarr 109/176 processed.\n",
+      "Finished: rsds_NorESM1-M_r1i1p1_historical_monthly.zarr 110/176 processed.\n",
+      "Finished: huss_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 111/176 processed.\n",
+      "Finished: rhsmax_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 112/176 processed.\n",
+      "Finished: vas_inmcm4_r1i1p1_historical_monthly.zarr 113/176 processed.\n",
+      "Finished: uas_CNRM-CM5_r1i1p1_historical_monthly.zarr 114/176 processed.\n",
+      "Finished: huss_MRI-CGCM3_r1i1p1_historical_monthly.zarr 115/176 processed.\n",
+      "Finished: tasmax_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 116/176 processed.\n",
+      "Finished: pr_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 117/176 processed.\n",
+      "Finished: huss_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 118/176 processed.\n",
+      "Finished: tasmin_CCSM4_r6i1p1_historical_monthly.zarr 119/176 processed.\n",
+      "Finished: uas_bcc-csm1-1_r1i1p1_historical_monthly.zarr 120/176 processed.\n",
+      "Finished: huss_MIROC5_r1i1p1_historical_monthly.zarr 121/176 processed.\n",
+      "Finished: tasmax_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 122/176 processed.\n",
+      "Finished: rhsmin_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 123/176 processed.\n",
+      "Finished: huss_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 124/176 processed.\n",
+      "Finished: vas_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 125/176 processed.\n",
+      "Finished: rhsmax_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 126/176 processed.\n",
+      "Finished: tasmax_MRI-CGCM3_r1i1p1_historical_monthly.zarr 127/176 processed.\n",
+      "Finished: rsds_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 128/176 processed.\n",
+      "Finished: pr_MRI-CGCM3_r1i1p1_historical_monthly.zarr 129/176 processed.\n",
+      "Finished: pr_CNRM-CM5_r1i1p1_historical_monthly.zarr 130/176 processed.\n",
+      "Finished: tasmin_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 131/176 processed.\n",
+      "Finished: tasmax_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 132/176 processed.\n",
+      "Finished: rhsmin_CanESM2_r1i1p1_historical_monthly.zarr 133/176 processed.\n",
+      "Finished: uas_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 134/176 processed.\n",
+      "Finished: rsds_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 135/176 processed.\n",
+      "Finished: huss_CanESM2_r1i1p1_historical_monthly.zarr 136/176 processed.\n",
+      "Finished: pr_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr 137/176 processed.\n",
+      "Finished: pr_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 138/176 processed.\n",
+      "Finished: uas_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 139/176 processed.\n",
+      "Finished: rhsmin_bcc-csm1-1_r1i1p1_historical_monthly.zarr 140/176 processed.\n",
+      "Finished: rhsmax_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 141/176 processed.\n",
+      "Finished: vas_CanESM2_r1i1p1_historical_monthly.zarr 142/176 processed.\n",
+      "Finished: huss_CNRM-CM5_r1i1p1_historical_monthly.zarr 143/176 processed.\n",
+      "Finished: huss_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 144/176 processed.\n",
+      "Finished: rsds_inmcm4_r1i1p1_historical_monthly.zarr 145/176 processed.\n",
+      "Finished: tasmin_MIROC5_r1i1p1_historical_monthly.zarr 146/176 processed.\n",
+      "Finished: rhsmax_IPSL-CM5A-LR_r1i1p1_historical_monthly.zarr 147/176 processed.\n",
+      "Finished: rhsmax_bcc-csm1-1_r1i1p1_historical_monthly.zarr 148/176 processed.\n",
+      "Finished: uas_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 149/176 processed.\n",
+      "Finished: tasmax_inmcm4_r1i1p1_historical_monthly.zarr 150/176 processed.\n",
+      "Finished: pr_CCSM4_r6i1p1_historical_monthly.zarr 151/176 processed.\n",
+      "Finished: pr_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 152/176 processed.\n",
+      "Finished: uas_BNU-ESM_r1i1p1_historical_monthly.zarr 153/176 processed.\n",
+      "Finished: rhsmin_MIROC-ESM-CHEM_r1i1p1_historical_monthly.zarr 154/176 processed.\n",
+      "Finished: rsds_HadGEM2-ES365_r1i1p1_historical_monthly.zarr 155/176 processed.\n",
+      "Finished: vas_GFDL-ESM2M_r1i1p1_historical_monthly.zarr 156/176 processed.\n",
+      "Finished: vas_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 157/176 processed.\n",
+      "Finished: huss_BNU-ESM_r1i1p1_historical_monthly.zarr 158/176 processed.\n",
+      "Finished: pr_BNU-ESM_r1i1p1_historical_monthly.zarr 159/176 processed.\n",
+      "Finished: uas_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 160/176 processed.\n",
+      "Finished: huss_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 161/176 processed.\n",
+      "Finished: vas_MIROC5_r1i1p1_historical_monthly.zarr 162/176 processed.\n",
+      "Finished: rhsmin_CSIRO-Mk3-6-0_r1i1p1_historical_monthly.zarr 163/176 processed.\n",
+      "Finished: pr_bcc-csm1-1_r1i1p1_historical_monthly.zarr 164/176 processed.\n",
+      "Finished: vas_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 165/176 processed.\n",
+      "Finished: pr_IPSL-CM5A-MR_r1i1p1_historical_monthly.zarr 166/176 processed.\n",
+      "Finished: uas_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 167/176 processed.\n",
+      "Finished: tasmax_MIROC-ESM_r1i1p1_historical_monthly.zarr 168/176 processed.\n",
+      "Finished: rhsmax_MIROC5_r1i1p1_historical_monthly.zarr 169/176 processed.\n",
+      "Finished: tasmin_CanESM2_r1i1p1_historical_monthly.zarr 170/176 processed.\n",
+      "Finished: pr_MIROC5_r1i1p1_historical_monthly.zarr 171/176 processed.\n",
+      "Finished: rsds_bcc-csm1-1_r1i1p1_historical_monthly.zarr 172/176 processed.\n",
+      "Finished: rhsmin_GFDL-ESM2G_r1i1p1_historical_monthly.zarr 173/176 processed.\n",
+      "Finished: rhsmin_bcc-csm1-1-m_r1i1p1_historical_monthly.zarr 174/176 processed.\n",
+      "Finished: pr_MIROC-ESM_r1i1p1_historical_monthly.zarr 175/176 processed.\n",
+      "Finished: rhsmax_HadGEM2-CC365_r1i1p1_historical_monthly.zarr 176/176 processed.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from concurrent.futures import ThreadPoolExecutor\n",
+    "from pathlib import Path\n",
+    "from datetime import datetime\n",
+    "import xarray as xr\n",
+    "from threading import Lock\n",
+    "\n",
+    "# Function to process each file\n",
+    "def process_file(fn):\n",
+    "    warnings.filterwarnings(\"ignore\")\n",
+    "    original_path = Path(fn)\n",
+    "    filename = original_path.name\n",
+    "    parts = filename.split('_')\n",
+    "    prefix = \"macav2_historical_daily.ncml\"\n",
+    "\n",
+    "    # Extract the relevant parts\n",
+    "    relevant_parts = filename[len(prefix):].split('.')[0]\n",
+    "\n",
+    "    # Construct the new filename\n",
+    "    new_filename = f\"{relevant_parts}_monthly.zarr\"\n",
+    "\n",
+    "    # Create the new path\n",
+    "    new_path = original_path.parent / new_filename\n",
+    "\n",
+    "    # print(f\"New Path: {new_path}\")\n",
+    "    if new_path.exists():\n",
+    "        # print(f\"EXISTS: {new_path}\")\n",
+    "        pass\n",
+    "    else:\n",
+    "        # print(f\"{datetime.now()}: --> {new_path}\")\n",
+    "        ds = xr.open_dataset(fn, chunks=chunk_plan)\n",
+    "        ds.to_zarr(new_path, consolidated=True)\n",
+    "\n",
+    "    return new_filename\n",
+    "\n",
+    "\n",
+    "# Counter to keep track of progress\n",
+    "lock = Lock()\n",
+    "counter = 0\n",
+    "\n",
+    "def process_file_with_print(file):\n",
+    "    global counter\n",
+    "    new_filename = process_file(file)\n",
+    "    \n",
+    "    with lock:\n",
+    "        counter += 1\n",
+    "        print(f\"Finished: {new_filename} {counter}/{len(worklist)} processed.\", flush=True)\n",
+    "\n",
+    "# Parallel execution with 6 workers\n",
+    "with ThreadPoolExecutor(max_workers=6) as executor:\n",
+    "    executor.map(process_file_with_print, worklist)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Open a zarr store and examine the contents and plot a time step."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_dz = xr.open_zarr(\"/caldera/hytest_scratch/scratch/rmcd/macav2/monthly/historical/tasmax_IPSL-CM5B-LR_r1i1p1_historical_monthly.zarr\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  content: ')';\n",
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+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                                (crs: 1, lat: 585, lon: 1386,\n",
+       "                                            time: 672)\n",
+       "Coordinates:\n",
+       "  * crs                                    (crs) int32 1\n",
+       "  * lat                                    (lat) float64 25.06 25.1 ... 49.4\n",
+       "  * lon                                    (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                   (time) object 1950-01-15 00:00:00 ...\n",
+       "Data variables:\n",
+       "    tasmax_IPSL-CM5B-LR_r1i1p1_historical  (time, lat, lon) float32 dask.array&lt;chunksize=(104, 231, 545), meta=np.ndarray&gt;\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   FLOAT\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains monthly downscaled...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               1954-12-31T00:00\n",
+       "    time_coverage_resolution:        P1M\n",
+       "    time_coverage_start:             1950-01-01T00:0\n",
+       "    title:                           Monthly aggregation of downscaled daily ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-37235dca-ab71-499b-b981-ebb3857e77e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-37235dca-ab71-499b-b981-ebb3857e77e4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>crs</span>: 1</li><li><span class='xr-has-index'>lat</span>: 585</li><li><span class='xr-has-index'>lon</span>: 1386</li><li><span class='xr-has-index'>time</span>: 672</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2d1f42f6-21e1-47f3-b09b-ab6562feb277' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d1f42f6-21e1-47f3-b09b-ab6562feb277' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>crs</span></div><div class='xr-var-dims'>(crs)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-a6bae145-1126-4f8f-bf71-d986cd2c8826' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6bae145-1126-4f8f-bf71-d986cd2c8826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6b77a67-cbfd-4d92-84ff-ffe2dae2128e' class='xr-var-data-in' type='checkbox'><label for='data-e6b77a67-cbfd-4d92-84ff-ffe2dae2128e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd></dl></div><div class='xr-var-data'><pre>array([1], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.06 25.1 25.15 ... 49.35 49.4</div><input id='attrs-d06ef760-abd3-4f92-a825-af83826e2b51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d06ef760-abd3-4f92-a825-af83826e2b51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b467307-c4c6-485e-be62-a945e6cee439' class='xr-var-data-in' type='checkbox'><label for='data-9b467307-c4c6-485e-be62-a945e6cee439' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>description :</span></dt><dd>Latitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([25.063078, 25.104744, 25.14641 , ..., 49.312691, 49.354359, 49.396023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>235.2 235.3 235.3 ... 292.9 292.9</div><input id='attrs-1f93c530-a484-43b5-8aa4-f0036883476e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f93c530-a484-43b5-8aa4-f0036883476e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a8d1c59-10ba-4f4a-9ed2-5cf642e7d6cf' class='xr-var-data-in' type='checkbox'><label for='data-8a8d1c59-10ba-4f4a-9ed2-5cf642e7d6cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>description :</span></dt><dd>Longitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([235.227844, 235.269501, 235.311157, ..., 292.851929, 292.893585,\n",
+       "       292.935242])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1950-01-15 00:00:00 ... 2005-12-...</div><input id='attrs-38934be3-fd87-481f-9b86-daf8a8c3c3d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38934be3-fd87-481f-9b86-daf8a8c3c3d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1027d2e4-78f8-45fd-a425-07bc08e3def3' class='xr-var-data-in' type='checkbox'><label for='data-1027d2e4-78f8-45fd-a425-07bc08e3def3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>days since 1900-01-01</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1950, 1, 15, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(1950, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(1950, 3, 15, 0, 0, 0, 0, has_year_zero=True), ...,\n",
+       "       cftime.DatetimeNoLeap(2005, 10, 15, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2005, 11, 15, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2005, 12, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f60cc47-a3dc-4dae-a3d5-f092cc4841b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f60cc47-a3dc-4dae-a3d5-f092cc4841b4' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(104, 231, 545), meta=np.ndarray&gt;</div><input id='attrs-c99b35a2-8963-4093-8cc3-7100b74ca471' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c99b35a2-8963-4093-8cc3-7100b74ca471' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dea2ad09-563b-4cbf-aabe-d58fcd661075' class='xr-var-data-in' type='checkbox'><label for='data-dea2ad09-563b-4cbf-aabe-d58fcd661075' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours);mean over days</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Monthly Average of Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 2.03 GiB </td>\n",
+       "                        <td> 49.95 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (672, 585, 1386) </td>\n",
+       "                        <td> (104, 231, 545) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 63 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
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+       "  <text x=\"184.224599\" y=\"59.549274\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,184.224599,59.549274)\">585</text>\n",
+       "  <text x=\"17.112299\" y=\"87.761650\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,17.112299,87.761650)\">672</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-43522746-877a-4906-aad6-8d72c29f735b' class='xr-section-summary-in' type='checkbox'  ><label for='section-43522746-877a-4906-aad6-8d72c29f735b' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>crs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-175cc115-52d6-48db-a360-04a49ba907c6' class='xr-index-data-in' type='checkbox'/><label for='index-175cc115-52d6-48db-a360-04a49ba907c6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int32&#x27;, name=&#x27;crs&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-473054c9-b969-489c-ac14-fa9e7a101e1c' class='xr-index-data-in' type='checkbox'/><label for='index-473054c9-b969-489c-ac14-fa9e7a101e1c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([25.063077926635742,  25.10474395751953,  25.14640998840332,\n",
+       "        25.18807601928711,   25.2297420501709, 25.271408081054688,\n",
+       "       25.313074111938477, 25.354740142822266, 25.396406173706055,\n",
+       "       25.438072204589844,\n",
+       "       ...\n",
+       "        49.02103042602539,  49.06269454956055,  49.10436248779297,\n",
+       "       49.146026611328125,  49.18769454956055,   49.2293586730957,\n",
+       "       49.271026611328125,  49.31269073486328,   49.3543586730957,\n",
+       "        49.39602279663086],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=585))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3df59f47-90d7-4864-a7cb-ba047710ae35' class='xr-index-data-in' type='checkbox'/><label for='index-3df59f47-90d7-4864-a7cb-ba047710ae35' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([235.22784423828125, 235.26950073242188,  235.3111572265625,\n",
+       "       235.35284423828125, 235.39450073242188,  235.4361572265625,\n",
+       "        235.4778289794922, 235.51950073242188,  235.5611572265625,\n",
+       "        235.6028289794922,\n",
+       "       ...\n",
+       "       292.56024169921875,  292.6019287109375,  292.6435852050781,\n",
+       "       292.68524169921875,  292.7269287109375,  292.7685852050781,\n",
+       "       292.81024169921875,  292.8519287109375,  292.8935852050781,\n",
+       "       292.93524169921875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1386))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6f0678b4-a262-44ae-871a-887d58436a86' class='xr-index-data-in' type='checkbox'/><label for='index-6f0678b4-a262-44ae-871a-887d58436a86' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1950-01-15 00:00:00, 1950-02-15 00:00:00, 1950-03-15 00:00:00,\n",
+       "             1950-04-15 00:00:00, 1950-05-15 00:00:00, 1950-06-15 00:00:00,\n",
+       "             1950-07-15 00:00:00, 1950-08-15 00:00:00, 1950-09-15 00:00:00,\n",
+       "             1950-10-15 00:00:00,\n",
+       "             ...\n",
+       "             2005-03-15 00:00:00, 2005-04-15 00:00:00, 2005-05-15 00:00:00,\n",
+       "             2005-06-15 00:00:00, 2005-07-15 00:00:00, 2005-08-15 00:00:00,\n",
+       "             2005-09-15 00:00:00, 2005-10-15 00:00:00, 2005-11-15 00:00:00,\n",
+       "             2005-12-15 00:00:00],\n",
+       "            dtype=&#x27;object&#x27;, length=672, calendar=&#x27;noleap&#x27;, freq=&#x27;None&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9cf74586-57df-4e97-91f3-a0a9fe0ca710' class='xr-section-summary-in' type='checkbox'  ><label for='section-9cf74586-57df-4e97-91f3-a0a9fe0ca710' class='xr-section-summary' >Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Metadata_Link :</span></dt><dd></dd><dt><span>cdm_data_type :</span></dt><dd>FLOAT</dd><dt><span>comment :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>contributor_name :</span></dt><dd>Katherine C. Hegewisch</dd><dt><span>contributor_role :</span></dt><dd>Postdoctoral Fellow</dd><dt><span>creator_email :</span></dt><dd>jabatzoglou@uidaho.edu</dd><dt><span>creator_name :</span></dt><dd>John Abatzoglou</dd><dt><span>creator_url :</span></dt><dd>http://maca.northwestknowledge.net</dd><dt><span>date_created :</span></dt><dd>2014-05-15</dd><dt><span>date_issued :</span></dt><dd>2014-05-15</dd><dt><span>date_modified :</span></dt><dd>2014-05-15</dd><dt><span>description :</span></dt><dd>Multivariate Adaptive Constructed Analogs (MACA) method, version 2.3,Dec 2013.</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-124.7722 25.0631,-124.7722 49.3960, -67.0648 49.3960,-67.0648, 25.0631, -124.7722,25.0631))</dd><dt><span>geospatial_lat_max :</span></dt><dd>49.3960</dd><dt><span>geospatial_lat_min :</span></dt><dd>25.0631</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lat_units :</span></dt><dd>decimal degrees north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-67.0648</dd><dt><span>geospatial_lon_min :</span></dt><dd>-124.7722</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lon_units :</span></dt><dd>decimal degrees east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.0</dd><dt><span>history :</span></dt><dd>No revisions.</dd><dt><span>id :</span></dt><dd>MACAv2-METDATA</dd><dt><span>institution :</span></dt><dd>University of Idaho</dd><dt><span>keywords :</span></dt><dd>monthly, precipitation, maximum temperature, minimum temperature, downward shortwave solar radiation, specific humidity, wind velocity, CMIP5, Gridded Meteorological Data</dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>license :</span></dt><dd>Creative Commons CC0 1.0 Universal Dedication(http://creativecommons.org/publicdomain/zero/1.0/legalcode)</dd><dt><span>naming_authority :</span></dt><dd>edu.uidaho.reacch</dd><dt><span>processing_level :</span></dt><dd>GRID</dd><dt><span>project :</span></dt><dd></dd><dt><span>publisher_email :</span></dt><dd>reacch@uidaho.edu</dd><dt><span>publisher_name :</span></dt><dd>REACCH</dd><dt><span>publisher_url :</span></dt><dd>http://www.reacchpna.org/</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.0</dd><dt><span>summary :</span></dt><dd>This archive contains monthly downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution. These monthly values are obtained by aggregating the daily values obtained from the downscaling using the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin),precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. </dd><dt><span>time_coverage_duration :</span></dt><dd>P5Y</dd><dt><span>time_coverage_end :</span></dt><dd>1954-12-31T00:00</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>time_coverage_start :</span></dt><dd>1950-01-01T00:0</dd><dt><span>title :</span></dt><dd>Monthly aggregation of downscaled daily meteorological data of Monthly Precipitation Amount from College of Global Change and Earth System Science, Beijing Normal University (BNU-ESM) using the run r1i1p1 of the historical scenario.</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                                (crs: 1, lat: 585, lon: 1386,\n",
+       "                                            time: 672)\n",
+       "Coordinates:\n",
+       "  * crs                                    (crs) int32 1\n",
+       "  * lat                                    (lat) float64 25.06 25.1 ... 49.4\n",
+       "  * lon                                    (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                   (time) object 1950-01-15 00:00:00 ...\n",
+       "Data variables:\n",
+       "    tasmax_IPSL-CM5B-LR_r1i1p1_historical  (time, lat, lon) float32 dask.array<chunksize=(104, 231, 545), meta=np.ndarray>\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   FLOAT\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains monthly downscaled...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               1954-12-31T00:00\n",
+       "    time_coverage_resolution:        P1M\n",
+       "    time_coverage_start:             1950-01-01T00:0\n",
+       "    title:                           Monthly aggregation of downscaled daily ..."
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_dz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x2aaddd888550>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "new_dz[\"tasmax_IPSL-CM5B-LR_r1i1p1_historical\"].isel(time=0).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Check the encoding of the zarr file. Note that lat, lon and time should not have a _FillValue encoding.  We'll handle this in the next notebook. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Encoding for Variables:\n",
+      "crs:\n",
+      "{'chunks': (1,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('int32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'crs': 1}}\n",
+      "\n",
+      "lat:\n",
+      "{'_FillValue': nan,\n",
+      " 'chunks': (585,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 585}}\n",
+      "\n",
+      "lon:\n",
+      "{'_FillValue': nan,\n",
+      " 'chunks': (1386,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lon': 1386}}\n",
+      "\n",
+      "tasmax_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (104, 231, 545),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'missing_value': -9999,\n",
+      " 'preferred_chunks': {'lat': 231, 'lon': 545, 'time': 104},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "time:\n",
+      "{'_FillValue': nan,\n",
+      " 'calendar': 'noleap',\n",
+      " 'chunks': (672,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'time': 672},\n",
+      " 'units': 'days since 1900-01-01'}\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pprint import pprint\n",
+    "# Pretty-print encoding for each variable\n",
+    "print(\"Encoding for Variables:\")\n",
+    "for var in new_dz.variables:\n",
+    "    print(f\"{var}:\")\n",
+    "    pprint(new_dz[var].encoding)\n",
+    "    print()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-11-02 22:14:44,476 - distributed.nanny - WARNING - Worker process still alive after 3.1999989318847657 seconds, killing\n",
+      "2023-11-02 22:14:44,547 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n",
+      "2023-11-02 22:14:44,549 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n",
+      "2023-11-02 22:14:44,549 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n",
+      "2023-11-02 22:14:44,550 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n",
+      "2023-11-02 22:14:44,550 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n",
+      "2023-11-02 22:14:44,551 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n"
+     ]
+    }
+   ],
+   "source": [
+    "cluster.close()\n",
+    "client.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "d853cbf2f35f45a59f79ca5e397d8dd1594080251b0b51418fe33f5fb0138a7a"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/workflows/opendap/CIDA/MACAV2/historical_daily_02_merge_zarrs.ipynb b/workflows/opendap/CIDA/MACAV2/historical_daily_02_merge_zarrs.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..1fd9a644f417c725a66f7758a0d081e10bf2dad7
--- /dev/null
+++ b/workflows/opendap/CIDA/MACAV2/historical_daily_02_merge_zarrs.ipynb
@@ -0,0 +1,26396 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MACAV2 Historic Monthly dataset\n",
+    "\n",
+    "Given some previously-rechunked NetCDFs as zarr files, merge them into a single store.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "import os\n",
+    "os.environ['AWS_PROFILE'] = 'nhgf-dev'\n",
+    "os.environ['AWS_ENDPOINT'] = 'https://s3.us-west-2.amazonaws.com/'\n",
+    "%run ../../../AWS.ipynb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pathlib\n",
+    "import logging\n",
+    "import xarray as xr\n",
+    "from datetime import datetime\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Python     : 3.11.6 | packaged by conda-forge | (main, Oct  3 2023, 10:40:35) [GCC 12.3.0]\n",
+      "dask       : 2023.8.1\n",
+      "fsspec     : 2023.10.0\n",
+      "kerchunk   : --\n",
+      "xarray     : 2023.10.1\n",
+      "zarr       : 2.16.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "_versions(['dask', 'fsspec', 'zarr', 'xarray', 'kerchunk'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dask Dashboard is available at: http://127.0.0.1:8787/status\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "from dask.distributed import Client, LocalCluster\n",
+    "\n",
+    "try:\n",
+    "    if 'client' in locals():\n",
+    "        client.close()\n",
+    "        cluster.close()\n",
+    "    cluster = LocalCluster(n_workers=4, threads_per_worker=1)\n",
+    "    client = Client(cluster)\n",
+    "except Exception as e:\n",
+    "    print(f\"An error occurred: {e}\")\n",
+    "\n",
+    "# Display the Dask Dashboard URL\n",
+    "print(f\"Dask Dashboard is available at: {client.dashboard_link}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Define data location names information"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "logging.basicConfig(level=logging.INFO, force=True)\n",
+    "srcdir =  pathlib.Path(\"/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/\")\n",
+    "\n",
+    "zarr_files = list( srcdir.glob(\"*.zarr\") )\n",
+    "\n",
+    "merged_file = srcdir.parent / \"macav2_historical_daily.zarr\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Open and view one of the .zarr files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/caldera/hytest_scratch/scratch/rmcd/macav2/daily/historical/uas_GFDL-ESM2M_r1i1p1_historical_monthly.zarr')"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zarr_files[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_in = xr.open_dataset(zarr_files[0], engine='zarr', chunks={}, decode_cf=False)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Explore the encoding - We'll make some changes below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Encoding for Variables:\n",
+      "crs:\n",
+      "{'chunks': (1,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('int32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'crs': 1}}\n",
+      "\n",
+      "lat:\n",
+      "{'_FillValue': nan,\n",
+      " 'chunks': (585,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 585}}\n",
+      "\n",
+      "lon:\n",
+      "{'_FillValue': nan,\n",
+      " 'chunks': (1386,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lon': 1386}}\n",
+      "\n",
+      "pr_CSIRO-Mk3-6-0_r1i1p1_rcp45:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (745, 86, 204),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'missing_value': -9999,\n",
+      " 'preferred_chunks': {'lat': 86, 'lon': 204, 'time': 745},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "time:\n",
+      "{'_FillValue': nan,\n",
+      " 'calendar': 'gregorian',\n",
+      " 'chunks': (34333,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'time': 34333},\n",
+      " 'units': 'days since 1900-01-01'}\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pprint import pprint\n",
+    "# Pretty-print encoding for each variable\n",
+    "print(\"Encoding for Variables:\")\n",
+    "for var in ds_in.variables:\n",
+    "    print(f\"{var}:\")\n",
+    "    pprint(ds_in[var].encoding)\n",
+    "    print()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If a varaiable has both _FillValue and missing_value and they are equal, remove the missing_value encoding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_var_encoding(ds, var_name):\n",
+    "    if var_name in ds.data_vars:\n",
+    "        existing_encoding = ds[var_name].encoding\n",
+    "        fill_value = existing_encoding.get('_FillValue')\n",
+    "        missing_value = existing_encoding.get('missing_value')\n",
+    "\n",
+    "        if fill_value is not None and missing_value is not None:\n",
+    "            if fill_value == missing_value:\n",
+    "                ds[var_name].encoding.update({'missing_value': None})\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Remove _FillValue attribute for lat/lon/time, reset crs to be a scalar and remove _FillValue, and finally merge zarr stores into single zarr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n",
+      "INFO:root:  >> Appending to /caldera/hytest_scratch/scratch/rmcd/macav2/daily/macav2_historical_daily.zarr\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Loop through the list of Zarr files\n",
+    "for index, zarr_file in enumerate(zarr_files):\n",
+    "    # Open the Zarr file\n",
+    "    ds = xr.open_zarr(zarr_file)\n",
+    "    # ds = xr.conventions.decode_cf(ds)\n",
+    "    # Prepare an encoding dictionary, preserving existing settings\n",
+    "    encoding_dict = {}\n",
+    "    for var in ['lat', 'lon', 'time']:\n",
+    "        if var in ds.variables:\n",
+    "            # Make a copy of the existing encoding dictionary for the variable\n",
+    "            # encoding_dict[var] = ds[var].encoding.copy()\n",
+    "            # Remove _FillValue from the copied encoding dictionary\n",
+    "            ds[var].encoding.update({'_FillValue': None, 'contiguous': True})\n",
+    "            # encoding_dict[var].pop('_FillValue', None)\n",
+    "            # encoding_dict[var].pop('preferred_chunks', None)\n",
+    "    for name in ds.data_vars:\n",
+    "        # Make a copy of the existing encoding dictionary for the variable\n",
+    "        update_var_encoding(ds, name)\n",
+    "    # Fix the crs variable\n",
+    "    crs_attrs = ds.crs.attrs\n",
+    "    ds.drop_vars(\"crs\")\n",
+    "    ds = ds.assign(crs=0.0)\n",
+    "    ds.crs.attrs = crs_attrs\n",
+    "    ds.crs.encoding.update({'_FillValue': None})\n",
+    "    logging.info(\"  >> Appending to %s\", merged_file)\n",
+    "    ds.to_zarr(merged_file, mode='a', consolidated=True)\n",
+    "    \n",
+    "# ds.to_zarr('test.zarr', consolidated=True)\n",
+    "\n",
+    "# ds2 = xr.open_zarr('test.zarr')\n",
+    "# ds2\n",
+    "#     # Append to list for eventual merging\n",
+    "#     ds_list.append(ds)\n",
+    "\n",
+    "# # Merge the datasets\n",
+    "# master_ds = xr.merge(ds_list)\n",
+    "\n",
+    "# # Save the merged data to a new master Zarr file\n",
+    "# master_ds.to_zarr(master_zarr_file, encoding=encoding_dict, consolidated=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Check the new merged zarr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-background-color-row-odd: #313131;\n",
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+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
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+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: 'â–º';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: 'â–¼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                                  (time: 20454, lat: 585, lon: 1386)\n",
+       "Coordinates:\n",
+       "    crs                                      float64 ...\n",
+       "  * lat                                      (lat) float64 25.06 25.1 ... 49.4\n",
+       "  * lon                                      (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                     (time) datetime64[ns] 1950-01-01...\n",
+       "Data variables: (12/176)\n",
+       "    huss_BNU-ESM_r1i1p1_historical           (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    huss_CCSM4_r6i1p1_historical             (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    huss_CNRM-CM5_r1i1p1_historical          (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    huss_CSIRO-Mk3-6-0_r1i1p1_historical     (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    huss_CanESM2_r1i1p1_historical           (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    huss_GFDL-ESM2G_r1i1p1_historical        (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    ...                                       ...\n",
+       "    vas_MIROC5_r1i1p1_historical             (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    vas_MRI-CGCM3_r1i1p1_historical          (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    vas_NorESM1-M_r1i1p1_historical          (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_historical       (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    vas_bcc-csm1-1_r1i1p1_historical         (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "    vas_inmcm4_r1i1p1_historical             (time, lat, lon) float32 dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains daily downscaled m...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               1954-12-31T00:00\n",
+       "    time_coverage_resolution:        P1D\n",
+       "    time_coverage_start:             1950-01-01T00:0\n",
+       "    title:                           Downscaled daily meteorological data of ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-11353415-5bc4-4bc5-a38e-cd6adfa2938e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11353415-5bc4-4bc5-a38e-cd6adfa2938e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 20454</li><li><span class='xr-has-index'>lat</span>: 585</li><li><span class='xr-has-index'>lon</span>: 1386</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c45450de-973d-4f11-bbcb-511cc3bad7d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c45450de-973d-4f11-bbcb-511cc3bad7d6' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f85d0847-f004-4d6e-82be-c9c91c8aa541' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f85d0847-f004-4d6e-82be-c9c91c8aa541' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10cf88dc-49d5-4f42-ad64-5a052ac1f7f9' class='xr-var-data-in' type='checkbox'><label for='data-10cf88dc-49d5-4f42-ad64-5a052ac1f7f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.06 25.1 25.15 ... 49.35 49.4</div><input id='attrs-9463579b-77d2-4391-833b-65501298df90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9463579b-77d2-4391-833b-65501298df90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32f2d27b-752c-4646-99a0-388064435fc3' class='xr-var-data-in' type='checkbox'><label for='data-32f2d27b-752c-4646-99a0-388064435fc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>description :</span></dt><dd>Latitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([25.063078, 25.104744, 25.14641 , ..., 49.312691, 49.354359, 49.396023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>235.2 235.3 235.3 ... 292.9 292.9</div><input id='attrs-33c8c0d6-32c3-4ad0-9ab8-6c2d3f92301e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c8c0d6-32c3-4ad0-9ab8-6c2d3f92301e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16cfb859-5602-4852-9f91-be2e063a2e60' class='xr-var-data-in' type='checkbox'><label for='data-16cfb859-5602-4852-9f91-be2e063a2e60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>description :</span></dt><dd>Longitude of the center of the grid cell</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([235.227844, 235.269501, 235.311157, ..., 292.851929, 292.893585,\n",
+       "       292.935242])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1950-01-01 ... 2005-12-31</div><input id='attrs-1ba2924e-3fd5-47fd-ad6a-25f373787d46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ba2924e-3fd5-47fd-ad6a-25f373787d46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50526a95-42cd-4dff-b3ef-229450e788b6' class='xr-var-data-in' type='checkbox'><label for='data-50526a95-42cd-4dff-b3ef-229450e788b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>days since 1900-01-01</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1950-01-01T00:00:00.000000000&#x27;, &#x27;1950-01-02T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1950-01-03T00:00:00.000000000&#x27;, ..., &#x27;2005-12-29T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-12-30T00:00:00.000000000&#x27;, &#x27;2005-12-31T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78b6bb94-2664-400b-add7-d2cb076e5a02' class='xr-section-summary-in' type='checkbox'  ><label for='section-78b6bb94-2664-400b-add7-d2cb076e5a02' class='xr-section-summary' >Data variables: <span>(176)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>huss_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-1ee928a3-a575-4e1d-8331-e72946608eb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ee928a3-a575-4e1d-8331-e72946608eb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329edcb2-5720-4ea8-9ee4-54e30bae04ef' class='xr-var-data-in' type='checkbox'><label for='data-329edcb2-5720-4ea8-9ee4-54e30bae04ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"166\" height=\"151\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"10\" y1=\"5\" x2=\"80\" y2=\"75\" />\n",
+       "  <line x1=\"10\" y1=\"10\" x2=\"80\" y2=\"81\" />\n",
+       "  <line x1=\"10\" y1=\"15\" x2=\"80\" y2=\"86\" />\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-5cf4506f-6af9-408c-bb17-354a586b962e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cf4506f-6af9-408c-bb17-354a586b962e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6384c2f9-f58e-46f2-8eda-1d3ea0df3955' class='xr-var-data-in' type='checkbox'><label for='data-6384c2f9-f58e-46f2-8eda-1d3ea0df3955' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-02f9e251-8d75-494d-956e-e11e59be0961' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02f9e251-8d75-494d-956e-e11e59be0961' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23d4ef21-bfba-4b80-9836-f4abde5717dc' class='xr-var-data-in' type='checkbox'><label for='data-23d4ef21-bfba-4b80-9836-f4abde5717dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-045995ca-182a-4ffd-ab09-6d721baf2123' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-045995ca-182a-4ffd-ab09-6d721baf2123' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6dd3773-3a3e-4aca-bfaf-7d7e4ce9d2be' class='xr-var-data-in' type='checkbox'><label for='data-d6dd3773-3a3e-4aca-bfaf-7d7e4ce9d2be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-fee17558-fdce-4769-8e5f-74bb61fe69a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fee17558-fdce-4769-8e5f-74bb61fe69a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35678a70-b448-40f9-bb83-1875a3aa5f3a' class='xr-var-data-in' type='checkbox'><label for='data-35678a70-b448-40f9-bb83-1875a3aa5f3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-098c9cc8-24f7-428e-a930-b50ca639c789' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-098c9cc8-24f7-428e-a930-b50ca639c789' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-484c4e2c-42c9-4c33-914c-f0b740312edd' class='xr-var-data-in' type='checkbox'><label for='data-484c4e2c-42c9-4c33-914c-f0b740312edd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-dd50891f-1354-4f50-a482-8ac06fd81cbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd50891f-1354-4f50-a482-8ac06fd81cbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19a68c4c-486a-43e9-a53f-1c2198d0a7fa' class='xr-var-data-in' type='checkbox'><label for='data-19a68c4c-486a-43e9-a53f-1c2198d0a7fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-430c84cd-86e6-4db0-9339-bc8ce08e3907' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-430c84cd-86e6-4db0-9339-bc8ce08e3907' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f022a73-bb75-4776-bf1b-16e1539c7b63' class='xr-var-data-in' type='checkbox'><label for='data-0f022a73-bb75-4776-bf1b-16e1539c7b63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-8cf2d21b-73ab-4da8-abb0-b5dbfa8b806c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cf2d21b-73ab-4da8-abb0-b5dbfa8b806c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c5fddea-649e-4eea-8f09-82ecdd591d1d' class='xr-var-data-in' type='checkbox'><label for='data-0c5fddea-649e-4eea-8f09-82ecdd591d1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-b4ff0f74-5621-41c6-ac7f-d39b2064cba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4ff0f74-5621-41c6-ac7f-d39b2064cba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53dd866e-5f23-405f-a917-74e894ae2257' class='xr-var-data-in' type='checkbox'><label for='data-53dd866e-5f23-405f-a917-74e894ae2257' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-1e422b49-1383-4f3d-89b9-dde43a36b30b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e422b49-1383-4f3d-89b9-dde43a36b30b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e37f0a9-9702-46ee-9373-7e8754673d4c' class='xr-var-data-in' type='checkbox'><label for='data-2e37f0a9-9702-46ee-9373-7e8754673d4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-ab3ac210-e62e-465d-b39f-73a27b88cbb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab3ac210-e62e-465d-b39f-73a27b88cbb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a349860c-31c5-4da1-8839-2169e41043b4' class='xr-var-data-in' type='checkbox'><label for='data-a349860c-31c5-4da1-8839-2169e41043b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-48c1151b-fa50-4859-9956-1f4ab857fc5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48c1151b-fa50-4859-9956-1f4ab857fc5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-054ffdbe-e69d-4a18-9c88-399cd99dc79c' class='xr-var-data-in' type='checkbox'><label for='data-054ffdbe-e69d-4a18-9c88-399cd99dc79c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-d702f16d-8ac6-44df-a05c-94f415aaaa9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d702f16d-8ac6-44df-a05c-94f415aaaa9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4353b10e-e33a-4473-9d25-8443bcc5dc62' class='xr-var-data-in' type='checkbox'><label for='data-4353b10e-e33a-4473-9d25-8443bcc5dc62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-93bd8173-4b4f-4c1b-b7a6-a49ab6417bd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93bd8173-4b4f-4c1b-b7a6-a49ab6417bd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c984761e-cc89-4904-99b7-f606be0a9485' class='xr-var-data-in' type='checkbox'><label for='data-c984761e-cc89-4904-99b7-f606be0a9485' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-2303015f-d5d6-4a59-b8ee-47f90756ac38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2303015f-d5d6-4a59-b8ee-47f90756ac38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e02c3f93-69f0-4d9e-b740-428af2314ad5' class='xr-var-data-in' type='checkbox'><label for='data-e02c3f93-69f0-4d9e-b740-428af2314ad5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-da523dab-3c65-4880-86ac-97e86943745d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da523dab-3c65-4880-86ac-97e86943745d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39c51133-06af-43a8-97be-b3c87d3885b5' class='xr-var-data-in' type='checkbox'><label for='data-39c51133-06af-43a8-97be-b3c87d3885b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-ec580f3e-65b6-4ad2-84b9-68dc32505ae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec580f3e-65b6-4ad2-84b9-68dc32505ae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d3d3488-8f3e-498d-adb0-95e97cdb583c' class='xr-var-data-in' type='checkbox'><label for='data-9d3d3488-8f3e-498d-adb0-95e97cdb583c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-ec08dae4-756e-4359-ab4f-2bb3004d23ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec08dae4-756e-4359-ab4f-2bb3004d23ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f8b278-adbd-4924-bc1d-8fd37ab713fc' class='xr-var-data-in' type='checkbox'><label for='data-18f8b278-adbd-4924-bc1d-8fd37ab713fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>huss_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-984bd202-2484-4e9a-bf54-7baa5a03c8ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-984bd202-2484-4e9a-bf54-7baa5a03c8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-593ecfa4-8818-45ee-a56e-6bdc01ce04e1' class='xr-var-data-in' type='checkbox'><label for='data-593ecfa4-8818-45ee-a56e-6bdc01ce04e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface specific humidity</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>0 m</dd><dt><span>long_name :</span></dt><dd>Daily Mean Near-Surface Specific Humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-01b26ef7-5f28-4917-8c2f-bbcf5522971b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01b26ef7-5f28-4917-8c2f-bbcf5522971b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94ad0500-0a33-4cf9-a669-6d3577f138ac' class='xr-var-data-in' type='checkbox'><label for='data-94ad0500-0a33-4cf9-a669-6d3577f138ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-418865e0-c812-4c7e-a7a2-6738b95d08b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-418865e0-c812-4c7e-a7a2-6738b95d08b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e6c188b-e60b-47dc-8c0d-856a40b40ec9' class='xr-var-data-in' type='checkbox'><label for='data-7e6c188b-e60b-47dc-8c0d-856a40b40ec9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-b911e043-76a5-4b9f-97f0-567fe7f878e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b911e043-76a5-4b9f-97f0-567fe7f878e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff80b97d-f499-4086-ac2f-8f6fc09b28dc' class='xr-var-data-in' type='checkbox'><label for='data-ff80b97d-f499-4086-ac2f-8f6fc09b28dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-295b9e81-4ee0-443d-bc96-d4ed8707b7d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-295b9e81-4ee0-443d-bc96-d4ed8707b7d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70d786c9-e7bb-4802-be2f-185f320f82e4' class='xr-var-data-in' type='checkbox'><label for='data-70d786c9-e7bb-4802-be2f-185f320f82e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-b95b96c1-f3f6-4a31-a4a8-828c16aa8d01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b95b96c1-f3f6-4a31-a4a8-828c16aa8d01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bc69802-8cff-4217-9416-6eb92a309290' class='xr-var-data-in' type='checkbox'><label for='data-3bc69802-8cff-4217-9416-6eb92a309290' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-4eb2d3fe-0ebc-4f53-93a2-e7ec8a70be3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4eb2d3fe-0ebc-4f53-93a2-e7ec8a70be3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28dd5d1b-f154-47fa-b567-2459e49132c1' class='xr-var-data-in' type='checkbox'><label for='data-28dd5d1b-f154-47fa-b567-2459e49132c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.96 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-affc5b2f-65cd-4806-af02-18930d80d5df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-affc5b2f-65cd-4806-af02-18930d80d5df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5110fcc6-d661-4dc6-b73d-8181ef6daa66' class='xr-var-data-in' type='checkbox'><label for='data-5110fcc6-d661-4dc6-b73d-8181ef6daa66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-af38470d-feec-4c3f-8853-720735c7c653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af38470d-feec-4c3f-8853-720735c7c653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e42b5232-7045-4222-9d93-e97d0b057e2a' class='xr-var-data-in' type='checkbox'><label for='data-e42b5232-7045-4222-9d93-e97d0b057e2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a4750fa5-b383-40c2-894a-c64b3686e07b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4750fa5-b383-40c2-894a-c64b3686e07b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fee8cde-9638-4113-a87d-a691cce37a57' class='xr-var-data-in' type='checkbox'><label for='data-0fee8cde-9638-4113-a87d-a691cce37a57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a1818952-fe5b-4c34-9f0c-995211bd77ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1818952-fe5b-4c34-9f0c-995211bd77ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dde9e1d6-ea3e-4272-9c45-10b19699d04b' class='xr-var-data-in' type='checkbox'><label for='data-dde9e1d6-ea3e-4272-9c45-10b19699d04b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: sum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a05b9d5d-a037-4a7d-951b-32af3b542839' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a05b9d5d-a037-4a7d-951b-32af3b542839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d676257b-1387-4a49-92e9-4ecf420169d6' class='xr-var-data-in' type='checkbox'><label for='data-d676257b-1387-4a49-92e9-4ecf420169d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-32694158-a26f-4d82-b5ff-2c2c162282d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32694158-a26f-4d82-b5ff-2c2c162282d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-707a1daf-f734-4694-ad5c-d8a9c959acbb' class='xr-var-data-in' type='checkbox'><label for='data-707a1daf-f734-4694-ad5c-d8a9c959acbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-e92430a9-906b-403b-af2d-7a7e28e5b4cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e92430a9-906b-403b-af2d-7a7e28e5b4cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-602facac-b2a9-4eb7-8061-b04458b9b2fe' class='xr-var-data-in' type='checkbox'><label for='data-602facac-b2a9-4eb7-8061-b04458b9b2fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-680529d1-42c0-4c94-a84e-b3218e2f1473' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-680529d1-42c0-4c94-a84e-b3218e2f1473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e63fc826-265b-4d68-9101-3b254a8ee179' class='xr-var-data-in' type='checkbox'><label for='data-e63fc826-265b-4d68-9101-3b254a8ee179' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a3c4ce57-1f51-4a32-8a9d-9fe1c7eb1403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3c4ce57-1f51-4a32-8a9d-9fe1c7eb1403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-395142cd-3d8c-4bd9-ac8e-020379c8dc74' class='xr-var-data-in' type='checkbox'><label for='data-395142cd-3d8c-4bd9-ac8e-020379c8dc74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-07244a46-e848-4b02-9983-da5c6a93af62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07244a46-e848-4b02-9983-da5c6a93af62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ddc711c-31a7-4a0d-a9af-538d746c525d' class='xr-var-data-in' type='checkbox'><label for='data-2ddc711c-31a7-4a0d-a9af-538d746c525d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a4cad1d8-5ef8-49b6-9c5b-03e83ac4970d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4cad1d8-5ef8-49b6-9c5b-03e83ac4970d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c0c5889-3ce3-441d-bf8d-efce1fab1bcb' class='xr-var-data-in' type='checkbox'><label for='data-9c0c5889-3ce3-441d-bf8d-efce1fab1bcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-15dffc3e-30d0-4540-80e9-feaa207c5b3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15dffc3e-30d0-4540-80e9-feaa207c5b3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d897fc0b-0b3a-4a98-b4b4-e764e5222acf' class='xr-var-data-in' type='checkbox'><label for='data-d897fc0b-0b3a-4a98-b4b4-e764e5222acf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-e76c7369-008c-4008-9e6a-860a2b6741a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e76c7369-008c-4008-9e6a-860a2b6741a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeb95465-c1b8-4650-8669-96d856b775f7' class='xr-var-data-in' type='checkbox'><label for='data-eeb95465-c1b8-4650-8669-96d856b775f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-32c8a008-8361-4756-940d-c9050d62544c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32c8a008-8361-4756-940d-c9050d62544c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4c79d68-d5e7-4ba6-85a3-db8d95d74079' class='xr-var-data-in' type='checkbox'><label for='data-e4c79d68-d5e7-4ba6-85a3-db8d95d74079' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-0625fbb0-b785-42e6-9bed-e3b144740571' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0625fbb0-b785-42e6-9bed-e3b144740571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6adaedb8-53bb-4833-aa90-0cd4a8781f21' class='xr-var-data-in' type='checkbox'><label for='data-6adaedb8-53bb-4833-aa90-0cd4a8781f21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-f0bbdc81-f719-40de-b93e-53cb32fdc893' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0bbdc81-f719-40de-b93e-53cb32fdc893' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea3e5e49-ed71-428c-a166-b0bd6b795774' class='xr-var-data-in' type='checkbox'><label for='data-ea3e5e49-ed71-428c-a166-b0bd6b795774' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-258c22c5-47c9-4ae5-ac22-a1492e959227' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-258c22c5-47c9-4ae5-ac22-a1492e959227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8655aeaf-0d75-4a9b-a155-6e0cb15c30b5' class='xr-var-data-in' type='checkbox'><label for='data-8655aeaf-0d75-4a9b-a155-6e0cb15c30b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmax_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-6c80395d-82d6-4574-b22c-4e6ba3f0866c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c80395d-82d6-4574-b22c-4e6ba3f0866c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9353c28-92c4-4567-b382-4d23f85bdbe5' class='xr-var-data-in' type='checkbox'><label for='data-e9353c28-92c4-4567-b382-4d23f85bdbe5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Maximum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-e8001b9d-8fec-49e1-9c22-0d854369f40a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8001b9d-8fec-49e1-9c22-0d854369f40a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19c17adc-a324-4ea1-b3b7-0bb61241db27' class='xr-var-data-in' type='checkbox'><label for='data-19c17adc-a324-4ea1-b3b7-0bb61241db27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a9d35ab6-6f56-4bd7-bb6d-2928eced4631' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9d35ab6-6f56-4bd7-bb6d-2928eced4631' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a870ef2-f5b7-496f-912c-05bf221896a2' class='xr-var-data-in' type='checkbox'><label for='data-5a870ef2-f5b7-496f-912c-05bf221896a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-223c4c0f-954c-4635-9676-f19c4b18b254' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-223c4c0f-954c-4635-9676-f19c4b18b254' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8be96d1-81c6-402a-bad8-c0266a1d4ef5' class='xr-var-data-in' type='checkbox'><label for='data-e8be96d1-81c6-402a-bad8-c0266a1d4ef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-771f6d22-8cea-418d-a3a4-99cedf058457' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-771f6d22-8cea-418d-a3a4-99cedf058457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d1266e1-8e43-4d18-b363-8276aff576e3' class='xr-var-data-in' type='checkbox'><label for='data-4d1266e1-8e43-4d18-b363-8276aff576e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-9c727bb6-a9aa-434d-afae-7dae8665ccb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c727bb6-a9aa-434d-afae-7dae8665ccb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5024a17d-9d74-4249-a3a9-a2f849b01e98' class='xr-var-data-in' type='checkbox'><label for='data-5024a17d-9d74-4249-a3a9-a2f849b01e98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-2f9b2f62-39c8-413c-bc5f-98952ae91491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f9b2f62-39c8-413c-bc5f-98952ae91491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f5fb90a-651c-4863-9131-034b50c7e937' class='xr-var-data-in' type='checkbox'><label for='data-7f5fb90a-651c-4863-9131-034b50c7e937' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-b138bc07-d57a-4eaa-9db8-2efc7e48ec2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b138bc07-d57a-4eaa-9db8-2efc7e48ec2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eeeef08-3066-44ce-a65e-136851759a9a' class='xr-var-data-in' type='checkbox'><label for='data-9eeeef08-3066-44ce-a65e-136851759a9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-dbfe7453-03b2-46c1-b9f3-5faf173c5efb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbfe7453-03b2-46c1-b9f3-5faf173c5efb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-040ac025-e9be-4c53-b11a-3eadb5f61d1c' class='xr-var-data-in' type='checkbox'><label for='data-040ac025-e9be-4c53-b11a-3eadb5f61d1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-c19cf22c-610c-483a-ae7a-0a0d8feeb2d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c19cf22c-610c-483a-ae7a-0a0d8feeb2d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b7871f-a04e-420d-9785-7ce9534e8c03' class='xr-var-data-in' type='checkbox'><label for='data-88b7871f-a04e-420d-9785-7ce9534e8c03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-5a2c3a0b-8164-4422-8151-0c9ae0ab4a88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a2c3a0b-8164-4422-8151-0c9ae0ab4a88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e193f15-751c-46df-bbd7-3e2efc5d5267' class='xr-var-data-in' type='checkbox'><label for='data-2e193f15-751c-46df-bbd7-3e2efc5d5267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-28b0d188-32d0-48d9-97c8-8fe0a609467b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28b0d188-32d0-48d9-97c8-8fe0a609467b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd6c09c9-6f6e-42ec-82db-5e142156eed8' class='xr-var-data-in' type='checkbox'><label for='data-dd6c09c9-6f6e-42ec-82db-5e142156eed8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhsmin_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-482208e5-5283-40af-8783-56d8abf9b674' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-482208e5-5283-40af-8783-56d8abf9b674' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c47e082c-c665-4128-8388-640a5e5f4f00' class='xr-var-data-in' type='checkbox'><label for='data-c47e082c-c665-4128-8388-640a5e5f4f00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>This is the relative humidity with respect to liquid water for T&gt; 0 C, and with respect to ice for T&lt;0 C.</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Surface Daily Minimum Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-0bdb69c9-f7a7-4824-8ff8-8a5e7197d726' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bdb69c9-f7a7-4824-8ff8-8a5e7197d726' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c80a16f7-056a-4244-96dc-6ba1e1a1ddf2' class='xr-var-data-in' type='checkbox'><label for='data-c80a16f7-056a-4244-96dc-6ba1e1a1ddf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-871f6d80-c7ed-4ed1-a472-04d5119def30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-871f6d80-c7ed-4ed1-a472-04d5119def30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ddf7e31-c5eb-4835-8170-fc6195f32fac' class='xr-var-data-in' type='checkbox'><label for='data-1ddf7e31-c5eb-4835-8170-fc6195f32fac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-d49e774c-9d37-4ca3-b724-a20aa7c3dcc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d49e774c-9d37-4ca3-b724-a20aa7c3dcc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0460f67e-e9c0-43e7-913d-f433f057eecd' class='xr-var-data-in' type='checkbox'><label for='data-0460f67e-e9c0-43e7-913d-f433f057eecd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-5614618d-ec49-4b21-bedd-578141da8cea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5614618d-ec49-4b21-bedd-578141da8cea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-300b5e4e-d1e8-4135-886a-7a7437ea0828' class='xr-var-data-in' type='checkbox'><label for='data-300b5e4e-d1e8-4135-886a-7a7437ea0828' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "        <td>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-f0417913-8e5e-4d82-9431-ca2acf01b70b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0417913-8e5e-4d82-9431-ca2acf01b70b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-659aa736-c766-4949-95dd-c91057669e4f' class='xr-var-data-in' type='checkbox'><label for='data-659aa736-c766-4949-95dd-c91057669e4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-b63af067-9890-4ab3-a3b8-ec2d29e3c21e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b63af067-9890-4ab3-a3b8-ec2d29e3c21e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10f02e0b-5a71-4359-a025-a069965f9500' class='xr-var-data-in' type='checkbox'><label for='data-10f02e0b-5a71-4359-a025-a069965f9500' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Shape </th>\n",
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+       "    <tr>\n",
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+       "                    </tr>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
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+       "    <tr>\n",
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+       "                        <th> Array </th>\n",
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+       "                </thead>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-77a1af64-58a4-417f-8cd2-134c35f848aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77a1af64-58a4-417f-8cd2-134c35f848aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21ca0665-4dfa-4d4a-b609-5b6da3646700' class='xr-var-data-in' type='checkbox'><label for='data-21ca0665-4dfa-4d4a-b609-5b6da3646700' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-e5331e06-615d-4c28-94f9-1776bf43f7ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5331e06-615d-4c28-94f9-1776bf43f7ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9b06724-2ce9-41c7-b45f-421d0b3dc8dd' class='xr-var-data-in' type='checkbox'><label for='data-d9b06724-2ce9-41c7-b45f-421d0b3dc8dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
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+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-5effc301-3fa0-49f1-9fee-72b39a7137a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5effc301-3fa0-49f1-9fee-72b39a7137a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c45cf5d-9f6a-4b3e-81bd-9f33d7ee2220' class='xr-var-data-in' type='checkbox'><label for='data-4c45cf5d-9f6a-4b3e-81bd-9f33d7ee2220' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>SW radiation incident at the surface</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-ae3a0341-903c-4307-8eaa-cf545798754d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae3a0341-903c-4307-8eaa-cf545798754d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a2dc62-109a-4ff3-8ac1-414fbd75bd88' class='xr-var-data-in' type='checkbox'><label for='data-30a2dc62-109a-4ff3-8ac1-414fbd75bd88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-9e14a8fb-e13a-46c5-aa3d-19af311a2270' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e14a8fb-e13a-46c5-aa3d-19af311a2270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1980b71d-ccbc-4c68-97a6-af91d9479e15' class='xr-var-data-in' type='checkbox'><label for='data-1980b71d-ccbc-4c68-97a6-af91d9479e15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-3d75a2a1-3960-4ec1-b068-23bbb3facec9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d75a2a1-3960-4ec1-b068-23bbb3facec9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f35159b-66e3-40c4-a678-55340f8f5a4a' class='xr-var-data-in' type='checkbox'><label for='data-2f35159b-66e3-40c4-a678-55340f8f5a4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-787a7d66-ebb0-4cc6-9805-922ec681bd15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-787a7d66-ebb0-4cc6-9805-922ec681bd15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-443ecd62-6dd1-4f35-9b47-6bd04f745898' class='xr-var-data-in' type='checkbox'><label for='data-443ecd62-6dd1-4f35-9b47-6bd04f745898' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-ad8d9ad1-33cc-410f-97cc-03ee3b430dc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad8d9ad1-33cc-410f-97cc-03ee3b430dc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e487b082-998b-4dd1-a224-364839af66a0' class='xr-var-data-in' type='checkbox'><label for='data-e487b082-998b-4dd1-a224-364839af66a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-0658dfc3-c332-4094-ac46-20c179a82ca0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0658dfc3-c332-4094-ac46-20c179a82ca0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2f6fa41-8c32-494e-84a1-174a3149574d' class='xr-var-data-in' type='checkbox'><label for='data-f2f6fa41-8c32-494e-84a1-174a3149574d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <thead>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-49ab1940-974f-4c57-a9f9-202dcc64ce63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49ab1940-974f-4c57-a9f9-202dcc64ce63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98c7f69e-8f5b-4079-ab37-b4559796d4be' class='xr-var-data-in' type='checkbox'><label for='data-98c7f69e-8f5b-4079-ab37-b4559796d4be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-94935e3a-c40f-4cad-b978-63aa56c06537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94935e3a-c40f-4cad-b978-63aa56c06537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f4e4bc5-f2dd-4a63-8138-f9d3d4c44741' class='xr-var-data-in' type='checkbox'><label for='data-5f4e4bc5-f2dd-4a63-8138-f9d3d4c44741' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-87ac238e-9dea-44d3-bb9d-333067e8cafe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87ac238e-9dea-44d3-bb9d-333067e8cafe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3d575b7-efe0-4061-a040-b759fc7a10f4' class='xr-var-data-in' type='checkbox'><label for='data-d3d575b7-efe0-4061-a040-b759fc7a10f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a75dff12-05bc-4dd7-b662-86b5ca0ba724' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a75dff12-05bc-4dd7-b662-86b5ca0ba724' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-023ad8ec-f421-475e-aceb-edc9b473e507' class='xr-var-data-in' type='checkbox'><label for='data-023ad8ec-f421-475e-aceb-edc9b473e507' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-cf3a464e-66a6-4d48-a11b-d82be7438e7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf3a464e-66a6-4d48-a11b-d82be7438e7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0883ecf6-4520-4197-b3f9-e5f01136d775' class='xr-var-data-in' type='checkbox'><label for='data-0883ecf6-4520-4197-b3f9-e5f01136d775' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-357a7970-be1b-49db-922a-6b04adb3c357' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-357a7970-be1b-49db-922a-6b04adb3c357' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc47e5fe-3198-40f2-8dc1-7e95befa0e2b' class='xr-var-data-in' type='checkbox'><label for='data-dc47e5fe-3198-40f2-8dc1-7e95befa0e2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-e9bd8ca4-6e31-42cd-9307-c6b62b42228b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9bd8ca4-6e31-42cd-9307-c6b62b42228b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd719155-2fd1-4fb2-91b4-8a7788472895' class='xr-var-data-in' type='checkbox'><label for='data-dd719155-2fd1-4fb2-91b4-8a7788472895' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-cfc3ca2a-80ba-4ec1-942a-9fff6f23a3fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfc3ca2a-80ba-4ec1-942a-9fff6f23a3fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32f17d86-27ff-4a03-b524-347e8f1f59bb' class='xr-var-data-in' type='checkbox'><label for='data-32f17d86-27ff-4a03-b524-347e8f1f59bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-e1768d0b-f6c0-4add-ad57-9c26e77b2afa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1768d0b-f6c0-4add-ad57-9c26e77b2afa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a61baab4-66a6-481d-8f87-983d6ecd6aea' class='xr-var-data-in' type='checkbox'><label for='data-a61baab4-66a6-481d-8f87-983d6ecd6aea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: maximum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-78547f1d-bd1a-4801-86f6-76b52bd8787c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78547f1d-bd1a-4801-86f6-76b52bd8787c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e506a29-63a6-474e-9a36-24f6f1301c80' class='xr-var-data-in' type='checkbox'><label for='data-5e506a29-63a6-474e-9a36-24f6f1301c80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
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+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a4c2c87f-6247-4b58-a538-b183db156242' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4c2c87f-6247-4b58-a538-b183db156242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c89656d4-2268-448d-8a54-f993b659bcfc' class='xr-var-data-in' type='checkbox'><label for='data-c89656d4-2268-448d-8a54-f993b659bcfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a3f9fed3-2070-47ad-b951-2a4dec5e6379' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3f9fed3-2070-47ad-b951-2a4dec5e6379' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef59e238-0d34-49ab-bf4c-3251b4712023' class='xr-var-data-in' type='checkbox'><label for='data-ef59e238-0d34-49ab-bf4c-3251b4712023' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-b3d14ad2-ea9b-4c83-854f-a46fc38adf70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3d14ad2-ea9b-4c83-854f-a46fc38adf70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36298132-e27d-4dd8-9ed5-8a495a0362fd' class='xr-var-data-in' type='checkbox'><label for='data-36298132-e27d-4dd8-9ed5-8a495a0362fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
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+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-7261d7de-a5c7-4d11-9f3d-800e48578945' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7261d7de-a5c7-4d11-9f3d-800e48578945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fde36cd-bb1a-4707-989b-bc42a20e19d8' class='xr-var-data-in' type='checkbox'><label for='data-8fde36cd-bb1a-4707-989b-bc42a20e19d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-2a6f5582-6686-46b2-a3f6-cf3b639210bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a6f5582-6686-46b2-a3f6-cf3b639210bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44171f01-1770-44dc-83c7-3bb4b20028c5' class='xr-var-data-in' type='checkbox'><label for='data-44171f01-1770-44dc-83c7-3bb4b20028c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-88eb1c83-cf50-4d0f-832b-b60a232d6d50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88eb1c83-cf50-4d0f-832b-b60a232d6d50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1db0950c-6021-4ec1-89d3-62835ce46bf1' class='xr-var-data-in' type='checkbox'><label for='data-1db0950c-6021-4ec1-89d3-62835ce46bf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-f389c793-0a20-47ae-9ac4-d78470b6500e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f389c793-0a20-47ae-9ac4-d78470b6500e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1eae07b-4a07-4c36-9210-02d416dea0bd' class='xr-var-data-in' type='checkbox'><label for='data-e1eae07b-4a07-4c36-9210-02d416dea0bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    \n",
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+       "                        <th> Shape </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-8d52cf1f-070a-4069-8b6d-2e94f135f211' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d52cf1f-070a-4069-8b6d-2e94f135f211' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c4d4019-a368-4b2a-89eb-ee739dc29d31' class='xr-var-data-in' type='checkbox'><label for='data-1c4d4019-a368-4b2a-89eb-ee739dc29d31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-08210593-3756-42d9-a93d-f909919a31fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08210593-3756-42d9-a93d-f909919a31fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa457e0e-83d8-46b2-970c-b3a0467b9a55' class='xr-var-data-in' type='checkbox'><label for='data-aa457e0e-83d8-46b2-970c-b3a0467b9a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a5d37175-d8c3-46ef-9f29-3505029c281d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5d37175-d8c3-46ef-9f29-3505029c281d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a27005c4-9dc1-4c73-a924-fed4b65e83cb' class='xr-var-data-in' type='checkbox'><label for='data-a27005c4-9dc1-4c73-a924-fed4b65e83cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-c3f90d9f-f499-4e3b-a828-d00d6fd18a98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3f90d9f-f499-4e3b-a828-d00d6fd18a98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70b34a00-07c8-4191-87ef-a5c52b23adaf' class='xr-var-data-in' type='checkbox'><label for='data-70b34a00-07c8-4191-87ef-a5c52b23adaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: minimum(interval: 24 hours)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>2 m</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-f3e0652e-e13c-4f83-a246-79b3e671f604' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3e0652e-e13c-4f83-a246-79b3e671f604' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b1a6f45-f118-4dc3-9573-8d6fdbcfe428' class='xr-var-data-in' type='checkbox'><label for='data-4b1a6f45-f118-4dc3-9573-8d6fdbcfe428' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-8ba38b40-f7cc-41a5-b750-d319c40d43cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ba38b40-f7cc-41a5-b750-d319c40d43cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e5c65fb-2554-4e52-9356-db7cc5c2895a' class='xr-var-data-in' type='checkbox'><label for='data-9e5c65fb-2554-4e52-9356-db7cc5c2895a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-ea1e3cb9-dc24-4e1f-855b-f2c7bd8a34e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea1e3cb9-dc24-4e1f-855b-f2c7bd8a34e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f20c5685-1cd7-45b6-b4db-c516dfe50908' class='xr-var-data-in' type='checkbox'><label for='data-f20c5685-1cd7-45b6-b4db-c516dfe50908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-84a57ea3-d359-4380-9b80-32513063d44e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84a57ea3-d359-4380-9b80-32513063d44e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08de94f9-cdf3-467d-90b4-4660fccc113e' class='xr-var-data-in' type='checkbox'><label for='data-08de94f9-cdf3-467d-90b4-4660fccc113e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-1a14b1d3-b9ee-47fc-9d30-46ac8bd15ec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a14b1d3-b9ee-47fc-9d30-46ac8bd15ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39321101-fba9-4fe6-8b90-9241ee36bf27' class='xr-var-data-in' type='checkbox'><label for='data-39321101-fba9-4fe6-8b90-9241ee36bf27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-97709d56-cbb9-4bf5-ba11-f8f4a62c92b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97709d56-cbb9-4bf5-ba11-f8f4a62c92b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62522df9-1cdd-4051-837e-3bdc150280d0' class='xr-var-data-in' type='checkbox'><label for='data-62522df9-1cdd-4051-837e-3bdc150280d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-594857f6-19e8-4864-bcee-7150b588057d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-594857f6-19e8-4864-bcee-7150b588057d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdcf0ef2-a6b6-4c0f-946a-59f97520a0b7' class='xr-var-data-in' type='checkbox'><label for='data-bdcf0ef2-a6b6-4c0f-946a-59f97520a0b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
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+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-108dfa79-7320-44c2-839e-3661f47e7e8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-108dfa79-7320-44c2-839e-3661f47e7e8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8aa70020-9bf0-4577-8da0-0bf17413d7ba' class='xr-var-data-in' type='checkbox'><label for='data-8aa70020-9bf0-4577-8da0-0bf17413d7ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-66ce40e5-01c0-4ee0-8af4-925a89982053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ce40e5-01c0-4ee0-8af4-925a89982053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f5ddcc-f5fa-4c0f-b37f-019c330fbf8a' class='xr-var-data-in' type='checkbox'><label for='data-44f5ddcc-f5fa-4c0f-b37f-019c330fbf8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-16d12763-d350-4f4c-8180-cb7f02968cb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16d12763-d350-4f4c-8180-cb7f02968cb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf04715-1972-45d6-97fe-dca89a1e8916' class='xr-var-data-in' type='checkbox'><label for='data-9cf04715-1972-45d6-97fe-dca89a1e8916' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-0fef5572-3da1-40d5-aa1d-6e19ecae699b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fef5572-3da1-40d5-aa1d-6e19ecae699b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71c79d39-478d-4cdc-8b5e-fd2ff327fea7' class='xr-var-data-in' type='checkbox'><label for='data-71c79d39-478d-4cdc-8b5e-fd2ff327fea7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-83d0e890-ee49-44a9-b545-260fdeffcbdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83d0e890-ee49-44a9-b545-260fdeffcbdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b42cc39-c7af-4270-9387-3ea81bf8ab0a' class='xr-var-data-in' type='checkbox'><label for='data-2b42cc39-c7af-4270-9387-3ea81bf8ab0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-0ef4b7be-7dfe-4776-9fbd-4977015a5e65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ef4b7be-7dfe-4776-9fbd-4977015a5e65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72716ebc-4fd2-455d-9c02-3ad7657fff02' class='xr-var-data-in' type='checkbox'><label for='data-72716ebc-4fd2-455d-9c02-3ad7657fff02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-5cd3af74-bd69-4921-8574-850ec958bd16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cd3af74-bd69-4921-8574-850ec958bd16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57c51bdc-967d-42f0-8515-89f04c5fcbd9' class='xr-var-data-in' type='checkbox'><label for='data-57c51bdc-967d-42f0-8515-89f04c5fcbd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-81aff2cd-fbec-4dc0-897c-033bb2d9f517' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81aff2cd-fbec-4dc0-897c-033bb2d9f517' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c210d12-efff-463c-8454-60f1280a20e1' class='xr-var-data-in' type='checkbox'><label for='data-1c210d12-efff-463c-8454-60f1280a20e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-ba0f5161-7d13-4f85-a76d-1803ea638b32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba0f5161-7d13-4f85-a76d-1803ea638b32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5821040f-c2c6-4374-bbe5-e8ea5f573d17' class='xr-var-data-in' type='checkbox'><label for='data-5821040f-c2c6-4374-bbe5-e8ea5f573d17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-859aa6e2-f259-4912-a7e1-a3f5084780c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-859aa6e2-f259-4912-a7e1-a3f5084780c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3260cbb-fd72-4388-b891-8d96139f598a' class='xr-var-data-in' type='checkbox'><label for='data-a3260cbb-fd72-4388-b891-8d96139f598a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-68ccfb07-1acf-4af8-a9bd-ce31bc224150' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68ccfb07-1acf-4af8-a9bd-ce31bc224150' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09e7cf49-3e15-4789-9bb6-cb7d0a1b65f8' class='xr-var-data-in' type='checkbox'><label for='data-09e7cf49-3e15-4789-9bb6-cb7d0a1b65f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-02e75688-e13e-4378-b614-b7b7a108ba84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02e75688-e13e-4378-b614-b7b7a108ba84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c57ae2db-a1b3-498d-9775-f1709ec66861' class='xr-var-data-in' type='checkbox'><label for='data-c57ae2db-a1b3-498d-9775-f1709ec66861' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-c831cff2-ec95-42c6-b09c-2f90e367e96f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c831cff2-ec95-42c6-b09c-2f90e367e96f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-848b4aba-ff47-4213-ae39-751a402bfdf5' class='xr-var-data-in' type='checkbox'><label for='data-848b4aba-ff47-4213-ae39-751a402bfdf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) eastward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Eastward Wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_BNU-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-05c1af41-b934-40c9-8a24-01809264a7fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05c1af41-b934-40c9-8a24-01809264a7fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f5f2cc9-5397-4622-8b8f-aabf64e81e40' class='xr-var-data-in' type='checkbox'><label for='data-8f5f2cc9-5397-4622-8b8f-aabf64e81e40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CCSM4_r6i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-7f97ef01-20b5-4e76-b406-50477668b788' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f97ef01-20b5-4e76-b406-50477668b788' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0692070-6159-4d76-b21e-a6d6f5f83309' class='xr-var-data-in' type='checkbox'><label for='data-b0692070-6159-4d76-b21e-a6d6f5f83309' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CNRM-CM5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-7114a585-70e8-4027-8d1a-dc58ecd9684f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7114a585-70e8-4027-8d1a-dc58ecd9684f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab7fefcd-86f9-43d6-97d6-f0f2d84ad1db' class='xr-var-data-in' type='checkbox'><label for='data-ab7fefcd-86f9-43d6-97d6-f0f2d84ad1db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CSIRO-Mk3-6-0_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-d346b811-e04f-42c3-a553-65f2b784aaf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d346b811-e04f-42c3-a553-65f2b784aaf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5638585-f4de-4827-9dbf-11644032c031' class='xr-var-data-in' type='checkbox'><label for='data-b5638585-f4de-4827-9dbf-11644032c031' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_CanESM2_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-5a8a71a8-0299-4a13-8462-bca7db7efb98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a8a71a8-0299-4a13-8462-bca7db7efb98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1823018-9abe-43f2-88c5-7728b55676cf' class='xr-var-data-in' type='checkbox'><label for='data-a1823018-9abe-43f2-88c5-7728b55676cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2G_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-f9f231eb-d1f4-4e4a-9b89-071948197a39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9f231eb-d1f4-4e4a-9b89-071948197a39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a543adcd-df32-4506-9cc8-2435c33487a7' class='xr-var-data-in' type='checkbox'><label for='data-a543adcd-df32-4506-9cc8-2435c33487a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_GFDL-ESM2M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-88466572-e351-4943-801e-6cac2c485649' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88466572-e351-4943-801e-6cac2c485649' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39258968-08b9-4722-918d-86869f7e71d1' class='xr-var-data-in' type='checkbox'><label for='data-39258968-08b9-4722-918d-86869f7e71d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_HadGEM2-CC365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-9fc9b620-28d7-4501-b9d1-ba9043e036bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fc9b620-28d7-4501-b9d1-ba9043e036bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0813ea1-d007-4226-b5cb-22be615c38ba' class='xr-var-data-in' type='checkbox'><label for='data-f0813ea1-d007-4226-b5cb-22be615c38ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_HadGEM2-ES365_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-0070f05d-ff76-4d3c-b24e-86e46a5327ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0070f05d-ff76-4d3c-b24e-86e46a5327ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a81df25-1d01-4f7b-8aae-7506e15c2c8e' class='xr-var-data-in' type='checkbox'><label for='data-2a81df25-1d01-4f7b-8aae-7506e15c2c8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5A-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-70fefa63-1749-4ff8-bca1-a93ae22e56ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70fefa63-1749-4ff8-bca1-a93ae22e56ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ce9d89e-38ad-4598-a15f-abc569003173' class='xr-var-data-in' type='checkbox'><label for='data-6ce9d89e-38ad-4598-a15f-abc569003173' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5A-MR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-8177aeee-98f3-4453-8e74-bf2a7a01f54b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8177aeee-98f3-4453-8e74-bf2a7a01f54b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e514041-dd05-4d32-ba8a-cc9ce74b75b1' class='xr-var-data-in' type='checkbox'><label for='data-0e514041-dd05-4d32-ba8a-cc9ce74b75b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_IPSL-CM5B-LR_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-c2e7ad3b-ee51-48b7-bce5-4eb2a08786f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2e7ad3b-ee51-48b7-bce5-4eb2a08786f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30c92a7e-bf90-4c65-88d9-e310a25b15be' class='xr-var-data-in' type='checkbox'><label for='data-30c92a7e-bf90-4c65-88d9-e310a25b15be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM-CHEM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-557867bc-0869-4088-a0db-cc5583047664' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-557867bc-0869-4088-a0db-cc5583047664' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7927b88-f4ea-4c85-8cc1-1fe323605eed' class='xr-var-data-in' type='checkbox'><label for='data-b7927b88-f4ea-4c85-8cc1-1fe323605eed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC-ESM_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-cbc8d9c7-0b20-4c7c-b1eb-5278a4a17d85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbc8d9c7-0b20-4c7c-b1eb-5278a4a17d85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ab6a97d-fa51-48c7-bf81-6025e671505e' class='xr-var-data-in' type='checkbox'><label for='data-8ab6a97d-fa51-48c7-bf81-6025e671505e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MIROC5_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-b4197b26-7676-4be3-bf1e-47337074e92a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4197b26-7676-4be3-bf1e-47337074e92a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebb052c6-938a-4e1b-b965-6e4f184c4360' class='xr-var-data-in' type='checkbox'><label for='data-ebb052c6-938a-4e1b-b965-6e4f184c4360' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_MRI-CGCM3_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-f75b05b6-00d3-4547-b1f8-d2bef7a468c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f75b05b6-00d3-4547-b1f8-d2bef7a468c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-387572c2-f9c4-4141-8d15-fa467e71bc8a' class='xr-var-data-in' type='checkbox'><label for='data-387572c2-f9c4-4141-8d15-fa467e71bc8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_NorESM1-M_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-f0955ba4-9cb0-4378-8bfd-04e89c029f7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0955ba4-9cb0-4378-8bfd-04e89c029f7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64378375-e562-41f8-b96e-d9dddadec786' class='xr-var-data-in' type='checkbox'><label for='data-64378375-e562-41f8-b96e-d9dddadec786' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_bcc-csm1-1-m_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-466abfa1-8360-47bd-88c7-5ad1510186de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-466abfa1-8360-47bd-88c7-5ad1510186de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92fe7b4b-b670-4531-b59f-4f8b07de1077' class='xr-var-data-in' type='checkbox'><label for='data-92fe7b4b-b670-4531-b59f-4f8b07de1077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_bcc-csm1-1_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-a84d674e-7bb7-4b0d-9170-ddcfdd54d9a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a84d674e-7bb7-4b0d-9170-ddcfdd54d9a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fe26d5b-798d-4abf-910b-aae35f8463f2' class='xr-var-data-in' type='checkbox'><label for='data-1fe26d5b-798d-4abf-910b-aae35f8463f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas_inmcm4_r1i1p1_historical</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 98, 232), meta=np.ndarray&gt;</div><input id='attrs-34cb4215-1210-4f4d-b1a3-bb2231c510e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34cb4215-1210-4f4d-b1a3-bb2231c510e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4460cb21-ed07-458d-bff9-168b3e111244' class='xr-var-data-in' type='checkbox'><label for='data-4460cb21-ed07-458d-bff9-168b3e111244' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean(interval: 24 hours)</dd><dt><span>comments :</span></dt><dd>Surface (10m) northward wind</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>Northward Wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 61.78 GiB </td>\n",
+       "                        <td> 49.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20454, 585, 1386) </td>\n",
+       "                        <td> (576, 98, 232) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1296 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
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+       "        </td>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ada9306d-bc67-4da5-8063-57c8d0a2c092' class='xr-section-summary-in' type='checkbox'  ><label for='section-ada9306d-bc67-4da5-8063-57c8d0a2c092' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0f505c6c-5ec0-4676-8529-04182a43b81c' class='xr-index-data-in' type='checkbox'/><label for='index-0f505c6c-5ec0-4676-8529-04182a43b81c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([25.063077926635742,  25.10474395751953,  25.14640998840332,\n",
+       "        25.18807601928711,   25.2297420501709, 25.271408081054688,\n",
+       "       25.313074111938477, 25.354740142822266, 25.396406173706055,\n",
+       "       25.438072204589844,\n",
+       "       ...\n",
+       "        49.02103042602539,  49.06269454956055,  49.10436248779297,\n",
+       "       49.146026611328125,  49.18769454956055,   49.2293586730957,\n",
+       "       49.271026611328125,  49.31269073486328,   49.3543586730957,\n",
+       "        49.39602279663086],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=585))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b383ae5-0a91-44f7-a852-7cff9f3ab4c4' class='xr-index-data-in' type='checkbox'/><label for='index-2b383ae5-0a91-44f7-a852-7cff9f3ab4c4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([235.22784423828125, 235.26950073242188,  235.3111572265625,\n",
+       "       235.35284423828125, 235.39450073242188,  235.4361572265625,\n",
+       "        235.4778289794922, 235.51950073242188,  235.5611572265625,\n",
+       "        235.6028289794922,\n",
+       "       ...\n",
+       "       292.56024169921875,  292.6019287109375,  292.6435852050781,\n",
+       "       292.68524169921875,  292.7269287109375,  292.7685852050781,\n",
+       "       292.81024169921875,  292.8519287109375,  292.8935852050781,\n",
+       "       292.93524169921875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1386))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7d1eaa10-6021-4131-8f2e-b0a4aa67058b' class='xr-index-data-in' type='checkbox'/><label for='index-7d1eaa10-6021-4131-8f2e-b0a4aa67058b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1950-01-01&#x27;, &#x27;1950-01-02&#x27;, &#x27;1950-01-03&#x27;, &#x27;1950-01-04&#x27;,\n",
+       "               &#x27;1950-01-05&#x27;, &#x27;1950-01-06&#x27;, &#x27;1950-01-07&#x27;, &#x27;1950-01-08&#x27;,\n",
+       "               &#x27;1950-01-09&#x27;, &#x27;1950-01-10&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2005-12-22&#x27;, &#x27;2005-12-23&#x27;, &#x27;2005-12-24&#x27;, &#x27;2005-12-25&#x27;,\n",
+       "               &#x27;2005-12-26&#x27;, &#x27;2005-12-27&#x27;, &#x27;2005-12-28&#x27;, &#x27;2005-12-29&#x27;,\n",
+       "               &#x27;2005-12-30&#x27;, &#x27;2005-12-31&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=20454, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f0b2eda-8d9e-4b84-8d3d-29cd5db6450a' class='xr-section-summary-in' type='checkbox'  ><label for='section-9f0b2eda-8d9e-4b84-8d3d-29cd5db6450a' class='xr-section-summary' >Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Metadata_Link :</span></dt><dd></dd><dt><span>cdm_data_type :</span></dt><dd>GRID</dd><dt><span>comment :</span></dt><dd>Total daily precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>contributor_name :</span></dt><dd>Katherine C. Hegewisch</dd><dt><span>contributor_role :</span></dt><dd>Postdoctoral Fellow</dd><dt><span>creator_email :</span></dt><dd>jabatzoglou@uidaho.edu</dd><dt><span>creator_name :</span></dt><dd>John Abatzoglou</dd><dt><span>creator_url :</span></dt><dd>http://maca.northwestknowledge.net</dd><dt><span>date_created :</span></dt><dd>2014-05-15</dd><dt><span>date_issued :</span></dt><dd>2014-05-15</dd><dt><span>date_modified :</span></dt><dd>2014-05-15</dd><dt><span>description :</span></dt><dd>Multivariate Adaptive Constructed Analogs (MACA) method, version 2.3,Dec 2013.</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-124.7722 25.0631,-124.7722 49.3960, -67.0648 49.3960,-67.0648, 25.0631, -124.7722,25.0631))</dd><dt><span>geospatial_lat_max :</span></dt><dd>49.3960</dd><dt><span>geospatial_lat_min :</span></dt><dd>25.0631</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lat_units :</span></dt><dd>decimal degrees north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-67.0648</dd><dt><span>geospatial_lon_min :</span></dt><dd>-124.7722</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.0417</dd><dt><span>geospatial_lon_units :</span></dt><dd>decimal degrees east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.0</dd><dt><span>history :</span></dt><dd>No revisions.</dd><dt><span>id :</span></dt><dd>MACAv2-METDATA</dd><dt><span>institution :</span></dt><dd>University of Idaho</dd><dt><span>keywords :</span></dt><dd>daily precipitation, daily maximum temperature, daily minimum temperature, daily downward shortwave solar radiation, daily specific humidity, daily wind velocity, CMIP5, Gridded Meteorological Data</dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>license :</span></dt><dd>Creative Commons CC0 1.0 Universal Dedication(http://creativecommons.org/publicdomain/zero/1.0/legalcode)</dd><dt><span>naming_authority :</span></dt><dd>edu.uidaho.reacch</dd><dt><span>processing_level :</span></dt><dd>GRID</dd><dt><span>project :</span></dt><dd></dd><dt><span>publisher_email :</span></dt><dd></dd><dt><span>publisher_name :</span></dt><dd>REACCH</dd><dt><span>publisher_url :</span></dt><dd>http://www.reacchpna.org/</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.0</dd><dt><span>summary :</span></dt><dd>This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin)precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modellers.</dd><dt><span>time_coverage_duration :</span></dt><dd>P5Y</dd><dt><span>time_coverage_end :</span></dt><dd>1954-12-31T00:00</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>time_coverage_start :</span></dt><dd>1950-01-01T00:0</dd><dt><span>title :</span></dt><dd>Downscaled daily meteorological data of Precipitation from College of Global Change and Earth System Science, Beijing Normal University (BNU-ESM) using the run r1i1p1 of the historical scenario.</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                                  (time: 20454, lat: 585, lon: 1386)\n",
+       "Coordinates:\n",
+       "    crs                                      float64 ...\n",
+       "  * lat                                      (lat) float64 25.06 25.1 ... 49.4\n",
+       "  * lon                                      (lon) float64 235.2 235.3 ... 292.9\n",
+       "  * time                                     (time) datetime64[ns] 1950-01-01...\n",
+       "Data variables: (12/176)\n",
+       "    huss_BNU-ESM_r1i1p1_historical           (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    huss_CCSM4_r6i1p1_historical             (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    huss_CNRM-CM5_r1i1p1_historical          (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    huss_CSIRO-Mk3-6-0_r1i1p1_historical     (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    huss_CanESM2_r1i1p1_historical           (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    huss_GFDL-ESM2G_r1i1p1_historical        (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    ...                                       ...\n",
+       "    vas_MIROC5_r1i1p1_historical             (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    vas_MRI-CGCM3_r1i1p1_historical          (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    vas_NorESM1-M_r1i1p1_historical          (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    vas_bcc-csm1-1-m_r1i1p1_historical       (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    vas_bcc-csm1-1_r1i1p1_historical         (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "    vas_inmcm4_r1i1p1_historical             (time, lat, lon) float32 dask.array<chunksize=(576, 98, 232), meta=np.ndarray>\n",
+       "Attributes: (12/45)\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    Metadata_Link:                   \n",
+       "    cdm_data_type:                   GRID\n",
+       "    comment:                         Total daily precipitation at surface; in...\n",
+       "    contributor_name:                Katherine C. Hegewisch\n",
+       "    contributor_role:                Postdoctoral Fellow\n",
+       "    ...                              ...\n",
+       "    summary:                         This archive contains daily downscaled m...\n",
+       "    time_coverage_duration:          P5Y\n",
+       "    time_coverage_end:               1954-12-31T00:00\n",
+       "    time_coverage_resolution:        P1D\n",
+       "    time_coverage_start:             1950-01-01T00:0\n",
+       "    title:                           Downscaled daily meteorological data of ..."
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_merge = xr.open_zarr(merged_file)\n",
+    "ds_merge"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x2aad371bef50>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_merge[\"tasmax_BNU-ESM_r1i1p1_historical\"].isel(time=0).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Encoding for Variables:\n",
+      "crs:\n",
+      "{'chunks': (),\n",
+      " 'compressor': None,\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {}}\n",
+      "\n",
+      "huss_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CCSM4_r6i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_NorESM1-M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "huss_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 9.999999747378752e-06}\n",
+      "\n",
+      "lat:\n",
+      "{'chunks': (585,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 585}}\n",
+      "\n",
+      "lon:\n",
+      "{'chunks': (1386,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float64'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lon': 1386}}\n",
+      "\n",
+      "pr_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CCSM4_r6i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_NorESM1-M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "pr_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "rhsmax_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmax_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rhsmin_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_CCSM4_r6i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_NorESM1-M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "rsds_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576}}\n",
+      "\n",
+      "tasmax_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CCSM4_r6i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_NorESM1-M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmax_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CCSM4_r6i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_NorESM1-M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "tasmin_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "time:\n",
+      "{'calendar': 'gregorian',\n",
+      " 'chunks': (20454,),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'dtype': dtype('float32'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'time': 20454},\n",
+      " 'units': 'days since 1900-01-01'}\n",
+      "\n",
+      "uas_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CCSM4_r6i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_NorESM1-M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "uas_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_BNU-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CCSM4_r6i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CNRM-CM5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CSIRO-Mk3-6-0_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_CanESM2_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_GFDL-ESM2G_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_GFDL-ESM2M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_HadGEM2-CC365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_HadGEM2-ES365_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5A-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5A-MR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_IPSL-CM5B-LR_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC-ESM-CHEM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC-ESM_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MIROC5_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_MRI-CGCM3_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_NorESM1-M_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_bcc-csm1-1-m_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_bcc-csm1-1_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n",
+      "vas_inmcm4_r1i1p1_historical:\n",
+      "{'_FillValue': -9999,\n",
+      " 'chunks': (576, 98, 232),\n",
+      " 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),\n",
+      " 'coordinates': 'time lon lat',\n",
+      " 'dtype': dtype('int16'),\n",
+      " 'filters': None,\n",
+      " 'preferred_chunks': {'lat': 98, 'lon': 232, 'time': 576},\n",
+      " 'scale_factor': 0.10000000149011612}\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pprint import pprint\n",
+    "# Pretty-print encoding for each variable\n",
+    "print(\"Encoding for Variables:\")\n",
+    "for var in ds_merge.variables:\n",
+    "    print(f\"{var}:\")\n",
+    "    pprint(ds_merge[var].encoding)\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-11-02 05:29:40,318 - distributed.nanny - WARNING - Worker process still alive after 3.1999961853027346 seconds, killing\n",
+      "2023-11-02 05:29:40,342 - distributed.nanny - WARNING - Worker process still alive after 3.1999989318847657 seconds, killing\n",
+      "2023-11-02 05:29:40,343 - distributed.nanny - WARNING - Worker process still alive after 3.1999995422363288 seconds, killing\n",
+      "2023-11-02 05:29:40,343 - distributed.nanny - WARNING - Worker process still alive after 3.199999389648438 seconds, killing\n"
+     ]
+    }
+   ],
+   "source": [
+    "cluster.close()\n",
+    "client.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "d853cbf2f35f45a59f79ca5e397d8dd1594080251b0b51418fe33f5fb0138a7a"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}