diff --git a/catalog_items/catalog.json b/catalog_items/catalog.json
index 4770a3ee644aebd9007cf5e429459a20503387f0..163a5389516191df0cff5b4977d825d6f4ad0d3d 100644
--- a/catalog_items/catalog.json
+++ b/catalog_items/catalog.json
@@ -8,6 +8,11 @@
"rel": "root",
"href": "./catalog.json",
"type": "application/json"
+ },
+ {
+ "rel": "item",
+ "href": "./conus404-daily/conus404-daily.json",
+ "type": "application/json"
}
]
}
\ No newline at end of file
diff --git a/catalog_items/conus404-daily/conus404-daily.json b/catalog_items/conus404-daily/conus404-daily.json
new file mode 100644
index 0000000000000000000000000000000000000000..9ffd7ceac5173d26cf8f421255a83910e232f9dc
--- /dev/null
+++ b/catalog_items/conus404-daily/conus404-daily.json
@@ -0,0 +1,76 @@
+{
+ "type": "Feature",
+ "stac_version": "1.0.0",
+ "id": "conus404-daily",
+ "properties": {
+ "datetime": "2021-09-25T00:00:00Z"
+ },
+ "geometry": {
+ "type": "Polygon",
+ "coordinates": [
+ [
+ [
+ -138.73135375976562,
+ 17.647308349609375
+ ],
+ [
+ -138.73135375976562,
+ 57.34341812133789
+ ],
+ [
+ -57.068634033203125,
+ 57.34341812133789
+ ],
+ [
+ -57.068634033203125,
+ 17.647308349609375
+ ],
+ [
+ -138.73135375976562,
+ 17.647308349609375
+ ]
+ ]
+ ]
+ },
+ "links": [
+ {
+ "rel": "root",
+ "href": "../catalog.json",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "../catalog.json",
+ "type": "application/json"
+ }
+ ],
+ "assets": {
+ "zarr-s3": {
+ "href": "s3://hytest/conus404/conus404_daily.zarr/",
+ "type": "application/vnd+zarr",
+ "description": "S3 access to collection zarr group",
+ "xarray:open_kwargs": {
+ "chunks": {},
+ "engine": "zarr",
+ "consolidated": true
+ },
+ "xarray:storage_options": {
+ "requester_pays": true
+ },
+ "roles": [
+ "data",
+ "zarr",
+ "s3"
+ ]
+ }
+ },
+ "bbox": [
+ -138.73135375976562,
+ 17.647308349609375,
+ -57.068634033203125,
+ 57.34341812133789
+ ],
+ "stac_extensions": [
+ "https://stac-extensions.github.io/datacube/v2.2.0/schema.json"
+ ]
+}
\ No newline at end of file
diff --git a/workflows/create_item_zarr_exploratory_workflow_conus404-daily.ipynb b/workflows/create_item_zarr_exploratory_workflow_conus404-daily.ipynb
index c488783f53e2e80c41107673231cc8e6d043b1f4..dbf7c72b55f2165aabd84945b153dbb12d54ea58 100644
--- a/workflows/create_item_zarr_exploratory_workflow_conus404-daily.ipynb
+++ b/workflows/create_item_zarr_exploratory_workflow_conus404-daily.ipynb
@@ -17,12 +17,648 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"id": "201e0945-de55-45ff-b095-c2af009a4e62",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function now() {\n",
+ " return new Date();\n",
+ " }\n",
+ "\n",
+ " var force = true;\n",
+ " var py_version = '3.3.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+ " var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
+ " var reloading = false;\n",
+ " var Bokeh = root.Bokeh;\n",
+ " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+ "\n",
+ " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+ " root._bokeh_timeout = Date.now() + 5000;\n",
+ " root._bokeh_failed_load = false;\n",
+ " }\n",
+ "\n",
+ " function run_callbacks() {\n",
+ " try {\n",
+ " root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+ " if (callback != null)\n",
+ " callback();\n",
+ " });\n",
+ " } finally {\n",
+ " delete root._bokeh_onload_callbacks;\n",
+ " }\n",
+ " console.debug(\"Bokeh: all callbacks have finished\");\n",
+ " }\n",
+ "\n",
+ " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
+ " if (css_urls == null) css_urls = [];\n",
+ " if (js_urls == null) js_urls = [];\n",
+ " if (js_modules == null) js_modules = [];\n",
+ " if (js_exports == null) js_exports = {};\n",
+ "\n",
+ " root._bokeh_onload_callbacks.push(callback);\n",
+ "\n",
+ " if (root._bokeh_is_loading > 0) {\n",
+ " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+ " return null;\n",
+ " }\n",
+ " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+ " run_callbacks();\n",
+ " return null;\n",
+ " }\n",
+ " if (!reloading) {\n",
+ " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+ " }\n",
+ "\n",
+ " function on_load() {\n",
+ " root._bokeh_is_loading--;\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+ " run_callbacks()\n",
+ " }\n",
+ " }\n",
+ " window._bokeh_on_load = on_load\n",
+ "\n",
+ " function on_error() {\n",
+ " console.error(\"failed to load \" + url);\n",
+ " }\n",
+ "\n",
+ " var skip = [];\n",
+ " if (window.requirejs) {\n",
+ " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
+ " require([\"jspanel\"], function(jsPanel) {\n",
+ "\twindow.jsPanel = jsPanel\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-modal\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-tooltip\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-hint\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-layout\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-contextmenu\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-dock\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"gridstack\"], function(GridStack) {\n",
+ "\twindow.GridStack = GridStack\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"notyf\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " root._bokeh_is_loading = css_urls.length + 9;\n",
+ " } else {\n",
+ " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+ " }\n",
+ "\n",
+ " var existing_stylesheets = []\n",
+ " var links = document.getElementsByTagName('link')\n",
+ " for (var i = 0; i < links.length; i++) {\n",
+ " var link = links[i]\n",
+ " if (link.href != null) {\n",
+ "\texisting_stylesheets.push(link.href)\n",
+ " }\n",
+ " }\n",
+ " for (var i = 0; i < css_urls.length; i++) {\n",
+ " var url = css_urls[i];\n",
+ " if (existing_stylesheets.indexOf(url) !== -1) {\n",
+ "\ton_load()\n",
+ "\tcontinue;\n",
+ " }\n",
+ " const element = document.createElement(\"link\");\n",
+ " element.onload = on_load;\n",
+ " element.onerror = on_error;\n",
+ " element.rel = \"stylesheet\";\n",
+ " element.type = \"text/css\";\n",
+ " element.href = url;\n",
+ " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+ " document.body.appendChild(element);\n",
+ " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
+ " var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
+ " for (var i = 0; i < urls.length; i++) {\n",
+ " skip.push(urls[i])\n",
+ " }\n",
+ " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
+ " var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
+ " for (var i = 0; i < urls.length; i++) {\n",
+ " skip.push(urls[i])\n",
+ " }\n",
+ " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
+ " var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
+ " for (var i = 0; i < urls.length; i++) {\n",
+ " skip.push(urls[i])\n",
+ " }\n",
+ " } var existing_scripts = []\n",
+ " var scripts = document.getElementsByTagName('script')\n",
+ " for (var i = 0; i < scripts.length; i++) {\n",
+ " var script = scripts[i]\n",
+ " if (script.src != null) {\n",
+ "\texisting_scripts.push(script.src)\n",
+ " }\n",
+ " }\n",
+ " for (var i = 0; i < js_urls.length; i++) {\n",
+ " var url = js_urls[i];\n",
+ " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+ "\tif (!window.requirejs) {\n",
+ "\t on_load();\n",
+ "\t}\n",
+ "\tcontinue;\n",
+ " }\n",
+ " var element = document.createElement('script');\n",
+ " element.onload = on_load;\n",
+ " element.onerror = on_error;\n",
+ " element.async = false;\n",
+ " element.src = url;\n",
+ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.head.appendChild(element);\n",
+ " }\n",
+ " for (var i = 0; i < js_modules.length; i++) {\n",
+ " var url = js_modules[i];\n",
+ " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+ "\tif (!window.requirejs) {\n",
+ "\t on_load();\n",
+ "\t}\n",
+ "\tcontinue;\n",
+ " }\n",
+ " var element = document.createElement('script');\n",
+ " element.onload = on_load;\n",
+ " element.onerror = on_error;\n",
+ " element.async = false;\n",
+ " element.src = url;\n",
+ " element.type = \"module\";\n",
+ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.head.appendChild(element);\n",
+ " }\n",
+ " for (const name in js_exports) {\n",
+ " var url = js_exports[name];\n",
+ " if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+ "\tif (!window.requirejs) {\n",
+ "\t on_load();\n",
+ "\t}\n",
+ "\tcontinue;\n",
+ " }\n",
+ " var element = document.createElement('script');\n",
+ " element.onerror = on_error;\n",
+ " element.async = false;\n",
+ " element.type = \"module\";\n",
+ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " element.textContent = `\n",
+ " import ${name} from \"${url}\"\n",
+ " window.${name} = ${name}\n",
+ " window._bokeh_on_load()\n",
+ " `\n",
+ " document.head.appendChild(element);\n",
+ " }\n",
+ " if (!js_urls.length && !js_modules.length) {\n",
+ " on_load()\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " function inject_raw_css(css) {\n",
+ " const element = document.createElement(\"style\");\n",
+ " element.appendChild(document.createTextNode(css));\n",
+ " document.body.appendChild(element);\n",
+ " }\n",
+ "\n",
+ " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.holoviz.org/panel/1.3.1/dist/panel.min.js\"];\n",
+ " var js_modules = [];\n",
+ " var js_exports = {};\n",
+ " var css_urls = [];\n",
+ " var inline_js = [ function(Bokeh) {\n",
+ " Bokeh.set_log_level(\"info\");\n",
+ " },\n",
+ "function(Bokeh) {} // ensure no trailing comma for IE\n",
+ " ];\n",
+ "\n",
+ " function run_inline_js() {\n",
+ " if ((root.Bokeh !== undefined) || (force === true)) {\n",
+ " for (var i = 0; i < inline_js.length; i++) {\n",
+ " inline_js[i].call(root, root.Bokeh);\n",
+ " }\n",
+ " // Cache old bokeh versions\n",
+ " if (Bokeh != undefined && !reloading) {\n",
+ "\tvar NewBokeh = root.Bokeh;\n",
+ "\tif (Bokeh.versions === undefined) {\n",
+ "\t Bokeh.versions = new Map();\n",
+ "\t}\n",
+ "\tif (NewBokeh.version !== Bokeh.version) {\n",
+ "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+ "\t}\n",
+ "\troot.Bokeh = Bokeh;\n",
+ " }} else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(run_inline_js, 100);\n",
+ " } else if (!root._bokeh_failed_load) {\n",
+ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+ " root._bokeh_failed_load = true;\n",
+ " }\n",
+ " root._bokeh_is_initializing = false\n",
+ " }\n",
+ "\n",
+ " function load_or_wait() {\n",
+ " // Implement a backoff loop that tries to ensure we do not load multiple\n",
+ " // versions of Bokeh and its dependencies at the same time.\n",
+ " // In recent versions we use the root._bokeh_is_initializing flag\n",
+ " // to determine whether there is an ongoing attempt to initialize\n",
+ " // bokeh, however for backward compatibility we also try to ensure\n",
+ " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+ " // before older versions are fully initialized.\n",
+ " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+ " root._bokeh_is_initializing = false;\n",
+ " root._bokeh_onload_callbacks = undefined;\n",
+ " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+ " load_or_wait();\n",
+ " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+ " setTimeout(load_or_wait, 100);\n",
+ " } else {\n",
+ " Bokeh = root.Bokeh;\n",
+ " bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+ " root._bokeh_is_initializing = true\n",
+ " root._bokeh_onload_callbacks = []\n",
+ " if (!reloading && (!bokeh_loaded || is_dev)) {\n",
+ "\troot.Bokeh = undefined;\n",
+ " }\n",
+ " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+ "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+ "\trun_inline_js();\n",
+ " });\n",
+ " }\n",
+ " }\n",
+ " // Give older versions of the autoload script a head-start to ensure\n",
+ " // they initialize before we start loading newer version.\n",
+ " setTimeout(load_or_wait, 100)\n",
+ "}(window));"
+ ],
+ "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.holoviz.org/panel/1.3.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "\n",
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+ " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+ "}\n",
+ "\n",
+ "\n",
+ " function JupyterCommManager() {\n",
+ " }\n",
+ "\n",
+ " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+ " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+ " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+ " comm_manager.register_target(comm_id, function(comm) {\n",
+ " comm.on_msg(msg_handler);\n",
+ " });\n",
+ " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+ " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+ " comm.onMsg = msg_handler;\n",
+ " });\n",
+ " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+ " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+ " var messages = comm.messages[Symbol.asyncIterator]();\n",
+ " function processIteratorResult(result) {\n",
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+ " console.log(message)\n",
+ " var content = {data: message.data, comm_id};\n",
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+ " for (var buffer of message.buffers || []) {\n",
+ " buffers.push(new DataView(buffer))\n",
+ " }\n",
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+ " var msg = {content, buffers, metadata}\n",
+ " msg_handler(msg);\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " }\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " })\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+ " if (comm_id in window.PyViz.comms) {\n",
+ " return window.PyViz.comms[comm_id];\n",
+ " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+ " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+ " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+ " if (msg_handler) {\n",
+ " comm.on_msg(msg_handler);\n",
+ " }\n",
+ " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+ " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+ " comm.open();\n",
+ " if (msg_handler) {\n",
+ " comm.onMsg = msg_handler;\n",
+ " }\n",
+ " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+ " var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+ " comm_promise.then((comm) => {\n",
+ " window.PyViz.comms[comm_id] = comm;\n",
+ " if (msg_handler) {\n",
+ " var messages = comm.messages[Symbol.asyncIterator]();\n",
+ " function processIteratorResult(result) {\n",
+ " var message = result.value;\n",
+ " var content = {data: message.data};\n",
+ " var metadata = message.metadata || {comm_id};\n",
+ " var msg = {content, metadata}\n",
+ " msg_handler(msg);\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " }\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " }\n",
+ " }) \n",
+ " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+ " return comm_promise.then((comm) => {\n",
+ " comm.send(data, metadata, buffers, disposeOnDone);\n",
+ " });\n",
+ " };\n",
+ " var comm = {\n",
+ " send: sendClosure\n",
+ " };\n",
+ " }\n",
+ " window.PyViz.comms[comm_id] = comm;\n",
+ " return comm;\n",
+ " }\n",
+ " window.PyViz.comm_manager = new JupyterCommManager();\n",
+ " \n",
+ "\n",
+ "\n",
+ "var JS_MIME_TYPE = 'application/javascript';\n",
+ "var HTML_MIME_TYPE = 'text/html';\n",
+ "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+ "var CLASS_NAME = 'output';\n",
+ "\n",
+ "/**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ "function render(props, node) {\n",
+ " var div = document.createElement(\"div\");\n",
+ " var script = document.createElement(\"script\");\n",
+ " node.appendChild(div);\n",
+ " node.appendChild(script);\n",
+ "}\n",
+ "\n",
+ "/**\n",
+ " * Handle when a new output is added\n",
+ " */\n",
+ "function handle_add_output(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
+ " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+ " return\n",
+ " }\n",
+ " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+ " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+ " if (id !== undefined) {\n",
+ " var nchildren = toinsert.length;\n",
+ " var html_node = toinsert[nchildren-1].children[0];\n",
+ " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var scripts = [];\n",
+ " var nodelist = html_node.querySelectorAll(\"script\");\n",
+ " for (var i in nodelist) {\n",
+ " if (nodelist.hasOwnProperty(i)) {\n",
+ " scripts.push(nodelist[i])\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " scripts.forEach( function (oldScript) {\n",
+ " var newScript = document.createElement(\"script\");\n",
+ " var attrs = [];\n",
+ " var nodemap = oldScript.attributes;\n",
+ " for (var j in nodemap) {\n",
+ " if (nodemap.hasOwnProperty(j)) {\n",
+ " attrs.push(nodemap[j])\n",
+ " }\n",
+ " }\n",
+ " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+ " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+ " oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+ " });\n",
+ " if (JS_MIME_TYPE in output.data) {\n",
+ " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+ " }\n",
+ " output_area._hv_plot_id = id;\n",
+ " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+ " window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+ " } else {\n",
+ " window.PyViz.plot_index[id] = null;\n",
+ " }\n",
+ " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+ " var bk_div = document.createElement(\"div\");\n",
+ " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var script_attrs = bk_div.children[0].attributes;\n",
+ " for (var i = 0; i < script_attrs.length; i++) {\n",
+ " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+ " }\n",
+ " // store reference to server id on output_area\n",
+ " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "/**\n",
+ " * Handle when an output is cleared or removed\n",
+ " */\n",
+ "function handle_clear_output(event, handle) {\n",
+ " var id = handle.cell.output_area._hv_plot_id;\n",
+ " var server_id = handle.cell.output_area._bokeh_server_id;\n",
+ " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+ " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+ " if (server_id !== null) {\n",
+ " comm.send({event_type: 'server_delete', 'id': server_id});\n",
+ " return;\n",
+ " } else if (comm !== null) {\n",
+ " comm.send({event_type: 'delete', 'id': id});\n",
+ " }\n",
+ " delete PyViz.plot_index[id];\n",
+ " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+ " var doc = window.Bokeh.index[id].model.document\n",
+ " doc.clear();\n",
+ " const i = window.Bokeh.documents.indexOf(doc);\n",
+ " if (i > -1) {\n",
+ " window.Bokeh.documents.splice(i, 1);\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "/**\n",
+ " * Handle kernel restart event\n",
+ " */\n",
+ "function handle_kernel_cleanup(event, handle) {\n",
+ " delete PyViz.comms[\"hv-extension-comm\"];\n",
+ " window.PyViz.plot_index = {}\n",
+ "}\n",
+ "\n",
+ "/**\n",
+ " * Handle update_display_data messages\n",
+ " */\n",
+ "function handle_update_output(event, handle) {\n",
+ " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+ " handle_add_output(event, handle)\n",
+ "}\n",
+ "\n",
+ "function register_renderer(events, OutputArea) {\n",
+ " function append_mime(data, metadata, element) {\n",
+ " // create a DOM node to render to\n",
+ " var toinsert = this.create_output_subarea(\n",
+ " metadata,\n",
+ " CLASS_NAME,\n",
+ " EXEC_MIME_TYPE\n",
+ " );\n",
+ " this.keyboard_manager.register_events(toinsert);\n",
+ " // Render to node\n",
+ " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+ " render(props, toinsert[0]);\n",
+ " element.append(toinsert);\n",
+ " return toinsert\n",
+ " }\n",
+ "\n",
+ " events.on('output_added.OutputArea', handle_add_output);\n",
+ " events.on('output_updated.OutputArea', handle_update_output);\n",
+ " events.on('clear_output.CodeCell', handle_clear_output);\n",
+ " events.on('delete.Cell', handle_clear_output);\n",
+ " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+ "\n",
+ " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+ " safe: true,\n",
+ " index: 0\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "if (window.Jupyter !== undefined) {\n",
+ " try {\n",
+ " var events = require('base/js/events');\n",
+ " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+ " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+ " register_renderer(events, OutputArea);\n",
+ " }\n",
+ " } catch(err) {\n",
+ " }\n",
+ "}\n"
+ ],
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+ },
+ "metadata": {},
+ "output_type": "display_data"
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+ "data": {
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+ " font-size: var(--jp-ui-font-size1);\n",
+ " color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+ "}\n",
+ "\n",
+ "/* Override VSCode background color */\n",
+ ".cell-output-ipywidget-background:has(\n",
+ " > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+ " ),\n",
+ ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
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+ "</style>"
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+ "text/html": [
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+ " <div id=\"bc42365c-7e0e-4b21-a42b-b39bafa7ce08\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+ "</div>\n",
+ "<script type=\"application/javascript\">(function(root) {\n",
+ " var docs_json = {\"ee75b49c-a725-44f5-bbe3-f7b3c1d17bce\":{\"version\":\"3.3.0\",\"title\":\"Bokeh 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+ " var render_items = [{\"docid\":\"ee75b49c-a725-44f5-bbe3-f7b3c1d17bce\",\"roots\":{\"p1002\":\"bc42365c-7e0e-4b21-a42b-b39bafa7ce08\"},\"root_ids\":[\"p1002\"]}];\n",
+ " var docs = Object.values(docs_json)\n",
+ " if (!docs) {\n",
+ " return\n",
+ " }\n",
+ " const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+ " const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
+ " function embed_document(root) {\n",
+ " var Bokeh = get_bokeh(root)\n",
+ " Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ " for (const render_item of render_items) {\n",
+ " for (const root_id of render_item.root_ids) {\n",
+ "\tconst id_el = document.getElementById(root_id)\n",
+ "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+ "\t const root_el = id_el.children[0]\n",
+ "\t root_el.id = root_el.id + '-rendered'\n",
+ "\t}\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " function get_bokeh(root) {\n",
+ " if (root.Bokeh === undefined) {\n",
+ " return null\n",
+ " } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
+ " if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+ "\treturn null\n",
+ " }\n",
+ " return root.Bokeh.versions.get(py_version);\n",
+ " } else if (root.Bokeh.version === py_version) {\n",
+ " return root.Bokeh\n",
+ " }\n",
+ " return null\n",
+ " }\n",
+ " function is_loaded(root) {\n",
+ " var Bokeh = get_bokeh(root)\n",
+ " return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+ " }\n",
+ " if (is_loaded(root)) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (is_loaded(root)) {\n",
+ " clearInterval(timer);\n",
+ " embed_document(root);\n",
+ " } else if (document.readyState == \"complete\") {\n",
+ " attempts++;\n",
+ " if (attempts > 200) {\n",
+ " clearInterval(timer);\n",
+ "\t var Bokeh = get_bokeh(root)\n",
+ "\t if (Bokeh == null || Bokeh.Panel == null) {\n",
+ " console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+ "\t } else {\n",
+ "\t console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+ "\t embed_document(root)\n",
+ "\t }\n",
+ " }\n",
+ " }\n",
+ " }, 25, root)\n",
+ " }\n",
+ "})(window);</script>"
+ ]
+ },
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p1002"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"import pystac\n",
"from pystac.extensions.datacube import CollectionDatacubeExtension, AssetDatacubeExtension, AdditionalDimension, DatacubeExtension\n",
@@ -39,7 +675,8 @@
"import cartopy.crs as ccrs\n",
"import cfunits\n",
"import json\n",
- "from shapely.geometry import Polygon, mapping"
+ "from shapely.geometry import Polygon, mapping\n",
+ "import orjson"
]
},
{
@@ -52,7 +689,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"id": "adf6c59d-58cd-48b1-a5fd-3bb205a3ef56",
"metadata": {
"tags": []
@@ -75,7 +712,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"id": "482d204d-b5b6-40e5-ac42-55b459be1097",
"metadata": {
"tags": []
@@ -110,12 +747,14939 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"id": "708f2cf5-79ab-49af-8067-de31d0d13ee6",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
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+ ".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",
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+ ".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",
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+ ".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",
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+ " background-color: var(--xr-background-color-row-odd);\n",
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+ " grid-column: 2;\n",
+ "}\n",
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+ " grid-column: 3;\n",
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+ " color: var(--xr-font-color2);\n",
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+ " grid-column: 2 / 5;\n",
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+ ".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'><xarray.Dataset>\n",
+ "Dimensions: (time: 15336, y: 1015, x: 1367, bottom_top_stag: 51,\n",
+ " bottom_top: 50, soil_layers_stag: 4, x_stag: 1368,\n",
+ " y_stag: 1016, snow_layers_stag: 3, snso_layers_stag: 7)\n",
+ "Coordinates:\n",
+ " lat (y, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lat_u (y, x_stag) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lat_v (y_stag, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lon (y, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lon_u (y, x_stag) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lon_v (y_stag, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " * time (time) datetime64[ns] 1979-10-01 1979-10-02 ... 2021-09-25\n",
+ " * x (x) float64 -2.732e+06 -2.728e+06 ... 2.728e+06 2.732e+06\n",
+ " * y (y) float64 -2.028e+06 -2.024e+06 ... 2.024e+06 2.028e+06\n",
+ "Dimensions without coordinates: bottom_top_stag, bottom_top, soil_layers_stag,\n",
+ " x_stag, y_stag, snow_layers_stag,\n",
+ " snso_layers_stag\n",
+ "Data variables: (12/157)\n",
+ " ACDEWC (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACDRIPR (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACDRIPS (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACECAN (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACEDIR (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACETLSM (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ... ...\n",
+ " ZNU (bottom_top) float32 dask.array<chunksize=(50,), meta=np.ndarray>\n",
+ " ZNW (bottom_top_stag) float32 dask.array<chunksize=(51,), meta=np.ndarray>\n",
+ " ZS (soil_layers_stag) float32 dask.array<chunksize=(4,), meta=np.ndarray>\n",
+ " ZSNSO (time, snso_layers_stag, y, x) float32 dask.array<chunksize=(36, 7, 350, 350), meta=np.ndarray>\n",
+ " ZWT (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " crs int32 ...\n",
+ "Attributes: (12/148)\n",
+ " AER_ANGEXP_OPT: 1\n",
+ " AER_ANGEXP_VAL: 1.2999999523162842\n",
+ " AER_AOD550_OPT: 1\n",
+ " AER_AOD550_VAL: 0.11999999731779099\n",
+ " AER_ASY_OPT: 1\n",
+ " AER_ASY_VAL: 0.8999999761581421\n",
+ " ... ...\n",
+ " WEST-EAST_PATCH_START_STAG: 1\n",
+ " WEST-EAST_PATCH_START_UNSTAG: 1\n",
+ " W_DAMPING: 1\n",
+ " YSU_TOPDOWN_PBLMIX: 0\n",
+ " history: Tue Mar 29 16:35:22 2022: ncrcat -A -vW ...\n",
+ " history_of_appended_files: Tue Mar 29 16:35:22 2022: Appended file ...</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-74001e0f-700b-4a4f-829a-be6ce1e54521' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74001e0f-700b-4a4f-829a-be6ce1e54521' 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>: 15336</li><li><span class='xr-has-index'>y</span>: 1015</li><li><span class='xr-has-index'>x</span>: 1367</li><li><span>bottom_top_stag</span>: 51</li><li><span>bottom_top</span>: 50</li><li><span>soil_layers_stag</span>: 4</li><li><span>x_stag</span>: 1368</li><li><span>y_stag</span>: 1016</li><li><span>snow_layers_stag</span>: 3</li><li><span>snso_layers_stag</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-60423e62-3416-422f-bb0f-012ac6ccd291' class='xr-section-summary-in' type='checkbox' checked><label for='section-60423e62-3416-422f-bb0f-012ac6ccd291' class='xr-section-summary' >Coordinates: <span>(9)</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>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-3448d2f7-9762-458f-8dfe-5b1e73934a3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3448d2f7-9762-458f-8dfe-5b1e73934a3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72bd239a-e2aa-4493-ba17-735bbf9757fb' class='xr-var-data-in' type='checkbox'><label for='data-72bd239a-e2aa-4493-ba17-735bbf9757fb' title='Show/Hide data repr'><svg 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>LATITUDE, SOUTH IS NEGATIVE</dd><dt><span>long_name :</span></dt><dd>Latitude, south is negative</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+ " <!-- Horizontal lines -->\n",
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+ " <text x=\"60.000000\" y=\"109.100219\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1367</text>\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>lat_u</span></div><div class='xr-var-dims'>(y, x_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-c2fe4a6e-7447-44d9-904a-41ecf1e15f6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2fe4a6e-7447-44d9-904a-41ecf1e15f6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e000a7c-24c4-4025-a490-e1ab72d39750' class='xr-var-data-in' type='checkbox'><label for='data-4e000a7c-24c4-4025-a490-e1ab72d39750' title='Show/Hide data repr'><svg 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>LATITUDE, SOUTH IS NEGATIVE</dd><dt><span>long_name :</span></dt><dd>Latitude, south is negative</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1368) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+ " <text x=\"140.000000\" y=\"44.517544\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,44.517544)\">1015</text>\n",
+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_v</span></div><div class='xr-var-dims'>(y_stag, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-177bf4b3-6fcd-443b-a614-ac0f956ab6ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-177bf4b3-6fcd-443b-a614-ac0f956ab6ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4155fac8-3a99-4fbe-b037-b48cd3600354' class='xr-var-data-in' type='checkbox'><label for='data-4155fac8-3a99-4fbe-b037-b48cd3600354' title='Show/Hide data repr'><svg 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>LATITUDE, SOUTH IS NEGATIVE</dd><dt><span>long_name :</span></dt><dd>Latitude, south is negative</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1016, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+ " <line x1=\"0\" y1=\"61\" x2=\"120\" y2=\"61\" />\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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-b286d92e-0e80-42fd-818e-1053c1a6399b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b286d92e-0e80-42fd-818e-1053c1a6399b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b90fb29-17ad-4d58-ae94-48f7ad27113d' class='xr-var-data-in' type='checkbox'><label for='data-8b90fb29-17ad-4d58-ae94-48f7ad27113d' title='Show/Hide data repr'><svg 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>LONGITUDE, WEST IS NEGATIVE</dd><dt><span>long_name :</span></dt><dd>Longitude, west is negative</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+ " <line x1=\"0\" y1=\"61\" x2=\"120\" y2=\"61\" />\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>lon_u</span></div><div class='xr-var-dims'>(y, x_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-4bbb5911-bea2-434d-b851-58ff0cbe11fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bbb5911-bea2-434d-b851-58ff0cbe11fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c971ed2-1ecf-4079-954a-e0c9e7985990' class='xr-var-data-in' type='checkbox'><label for='data-3c971ed2-1ecf-4079-954a-e0c9e7985990' title='Show/Hide data repr'><svg 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>LONGITUDE, WEST IS NEGATIVE</dd><dt><span>long_name :</span></dt><dd>Longitude, west is negative</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1368) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n",
+ " <line x1=\"0\" y1=\"61\" x2=\"120\" y2=\"61\" />\n",
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+ " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"89\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"89\" />\n",
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+ " <!-- Text -->\n",
+ " <text x=\"60.000000\" y=\"109.035088\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1368</text>\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>lon_v</span></div><div class='xr-var-dims'>(y_stag, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-8a185b4d-b902-413a-a69a-2669536c115f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a185b4d-b902-413a-a69a-2669536c115f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-260442da-0fbe-4d1a-95e4-94e0ed32cf3b' class='xr-var-data-in' type='checkbox'><label for='data-260442da-0fbe-4d1a-95e4-94e0ed32cf3b' title='Show/Hide data repr'><svg 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>LONGITUDE, WEST IS NEGATIVE</dd><dt><span>long_name :</span></dt><dd>Longitude, west is negative</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1016, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+ " <line x1=\"0\" y1=\"61\" x2=\"120\" y2=\"61\" />\n",
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+ "\n",
+ " <!-- Vertical lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"89\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"89\" />\n",
+ " <line x1=\"61\" y1=\"0\" x2=\"61\" y2=\"89\" />\n",
+ " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"89\" />\n",
+ " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"89\" style=\"stroke-width:2\" />\n",
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+ " <polygon points=\"0.0,0.0 120.0,0.0 120.0,89.18800292611557 0.0,89.18800292611557\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+ "\n",
+ " <!-- Text -->\n",
+ " <text x=\"60.000000\" y=\"109.188003\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1367</text>\n",
+ " <text x=\"140.000000\" y=\"44.594001\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,44.594001)\">1016</text>\n",
+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></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'>1979-10-01 ... 2021-09-25</div><input id='attrs-23925b7e-11b5-4706-b85c-a32c56cadb79' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23925b7e-11b5-4706-b85c-a32c56cadb79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0421a2e4-9bb2-4290-bd66-036494c1fa40' class='xr-var-data-in' type='checkbox'><label for='data-0421a2e4-9bb2-4290-bd66-036494c1fa40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['1979-10-01T00:00:00.000000000', '1979-10-02T00:00:00.000000000',\n",
+ " '1979-10-03T00:00:00.000000000', ..., '2021-09-23T00:00:00.000000000',\n",
+ " '2021-09-24T00:00:00.000000000', '2021-09-25T00:00:00.000000000'],\n",
+ " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.732e+06 -2.728e+06 ... 2.732e+06</div><input id='attrs-dd71ab1c-f424-467c-a0ad-6685efa65f8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd71ab1c-f424-467c-a0ad-6685efa65f8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-418e9214-816f-4b57-8cb2-613a67835511' class='xr-var-data-in' type='checkbox'><label for='data-418e9214-816f-4b57-8cb2-613a67835511' title='Show/Hide data repr'><svg 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>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-2732097.901154, -2728097.901154, -2724097.901154, ..., 2723902.098846,\n",
+ " 2727902.098846, 2731902.098846])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.028e+06 -2.024e+06 ... 2.028e+06</div><input id='attrs-5d3ff1a6-9741-4adf-9311-e95cfb84c36b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d3ff1a6-9741-4adf-9311-e95cfb84c36b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25585395-3ad4-4e5f-ac2d-db357fccac5f' class='xr-var-data-in' type='checkbox'><label for='data-25585395-3ad4-4e5f-ac2d-db357fccac5f' title='Show/Hide data repr'><svg 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>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-2027960.899637, -2023960.899637, -2019960.899637, ..., 2020039.100363,\n",
+ " 2024039.100363, 2028039.100363])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b78aea99-80c8-427b-aca8-1dbbab2ead0b' class='xr-section-summary-in' type='checkbox' ><label for='section-b78aea99-80c8-427b-aca8-1dbbab2ead0b' class='xr-section-summary' >Data variables: <span>(157)</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>ACDEWC</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-02f6e436-ad76-47fa-b6a4-ad14facf8429' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02f6e436-ad76-47fa-b6a4-ad14facf8429' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffa6874f-117d-44be-8b05-9a853331748f' class='xr-var-data-in' type='checkbox'><label for='data-ffa6874f-117d-44be-8b05-9a853331748f' title='Show/Hide data repr'><svg 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>acccumlated QDEWC</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated canopy dew rate</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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 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>ACDRIPR</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-165eda42-dfaa-4b89-900f-2d5fe20d8d70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-165eda42-dfaa-4b89-900f-2d5fe20d8d70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23152ae8-3802-4e9b-ae13-11cd06a404d0' class='xr-var-data-in' type='checkbox'><label for='data-23152ae8-3802-4e9b-ae13-11cd06a404d0' title='Show/Hide data repr'><svg 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>acccumlated QDRIPR</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated canopy precipitation drip rate</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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 chunks in 2 graph 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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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\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>ACECAN</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-aac62af1-db3a-4375-b9f3-9d9c0d4ae99a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aac62af1-db3a-4375-b9f3-9d9c0d4ae99a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6e41e5b-fa55-4c7c-a5b3-2e239a56866a' class='xr-var-data-in' type='checkbox'><label for='data-b6e41e5b-fa55-4c7c-a5b3-2e239a56866a' title='Show/Hide data repr'><svg 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>acccumlated ECAN</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated net evaporation of canopy water (evap + sublim - dew - frost)</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
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+ " <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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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </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>ACETLSM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-44a3e9b3-93fe-46e2-8009-aab65ecd940c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44a3e9b3-93fe-46e2-8009-aab65ecd940c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fa16da5-7515-4901-afe3-3095d537987a' class='xr-var-data-in' type='checkbox'><label for='data-8fa16da5-7515-4901-afe3-3095d537987a' title='Show/Hide data repr'><svg 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>acccumlated ET</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated total evaporation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\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",
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+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </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>ACETRAN</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-fece8e9d-d25a-4024-95c0-8c9f2918af03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fece8e9d-d25a-4024-95c0-8c9f2918af03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e6fc32a-abae-4b7a-95b9-a4f4e43fb5ad' class='xr-var-data-in' type='checkbox'><label for='data-6e6fc32a-abae-4b7a-95b9-a4f4e43fb5ad' title='Show/Hide data repr'><svg 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>acccumlated ETRAN</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated plant transpiration</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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+ " <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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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </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>ACEVAC</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-9bd67f04-bcd1-43ea-8b11-988a90a52978' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bd67f04-bcd1-43ea-8b11-988a90a52978' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47040e69-9964-4075-b8f1-700e0aea38a4' class='xr-var-data-in' type='checkbox'><label for='data-47040e69-9964-4075-b8f1-700e0aea38a4' title='Show/Hide data repr'><svg 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>acccumlated QEVAC</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated canopy evaporation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACEVB</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-abdc27ba-6591-4e0e-8a7b-bcfb22fbd28c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abdc27ba-6591-4e0e-8a7b-bcfb22fbd28c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6cc01bc-c79f-4a6f-bbdc-db18b4a6faad' class='xr-var-data-in' type='checkbox'><label for='data-c6cc01bc-c79f-4a6f-bbdc-db18b4a6faad' title='Show/Hide data repr'><svg 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>acccumlated EVB</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated latent heat flux over bare ground</dd><dt><span>units :</span></dt><dd>kJ m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
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+ " <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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+ " <th> Chunk </th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " \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",
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+ " \n",
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+ " <tr>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACFRZC</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-4fb07be8-528f-4a96-b618-b3188acb7437' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fb07be8-528f-4a96-b618-b3188acb7437' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67a2a59c-58bb-4196-b02b-7040369b357f' class='xr-var-data-in' type='checkbox'><label for='data-67a2a59c-58bb-4196-b02b-7040369b357f' title='Show/Hide data repr'><svg 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>acccumlated QFRZC</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated refreezing of canopy liquid water</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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </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>ACGHB</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-564a160b-1622-4cb8-9f05-b12ac985397c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-564a160b-1622-4cb8-9f05-b12ac985397c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57d3e4f0-901c-474e-9c21-b617b0af7835' class='xr-var-data-in' type='checkbox'><label for='data-57d3e4f0-901c-474e-9c21-b617b0af7835' title='Show/Hide data repr'><svg 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>acccumlated GHB</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated heat flux into soil or snowpack for bare ground</dd><dt><span>units :</span></dt><dd>kJ 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",
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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> 79.27 GiB </td>\n",
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+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
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+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 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>ACGHFLSM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-840b84c7-4ad6-4761-89cb-5d1033c7ac61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-840b84c7-4ad6-4761-89cb-5d1033c7ac61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef0f3432-210a-4e08-9529-f18c4f091760' class='xr-var-data-in' type='checkbox'><label for='data-ef0f3432-210a-4e08-9529-f18c4f091760' title='Show/Hide data repr'><svg 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>acccumlated total ground heat flux</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated total ground heat flux into soil or snowpack</dd><dt><span>units :</span></dt><dd>kJ m-2</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
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+ " </tr>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " </tr>\n",
+ " \n",
+ " <tr>\n",
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+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACGHV</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-3f004929-4334-470b-a075-02577c864188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f004929-4334-470b-a075-02577c864188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6851f9c0-055e-4190-a808-3b888a734c87' class='xr-var-data-in' type='checkbox'><label for='data-6851f9c0-055e-4190-a808-3b888a734c87' title='Show/Hide data repr'><svg 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>acccumlated GHV</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated heat flux into soil or snowpack under canopy</dd><dt><span>units :</span></dt><dd>kJ 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",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
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+ " <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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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ " \n",
+ " <tr>\n",
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+ " <tbody>\n",
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+ " <tr>\n",
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+ " \n",
+ " <tr>\n",
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+ " \n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACMELTC</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-8ae7ec6d-6dc6-48aa-a974-bc6bf5d7432d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae7ec6d-6dc6-48aa-a974-bc6bf5d7432d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a33f2f1-fd96-4892-8422-136f9c038951' class='xr-var-data-in' type='checkbox'><label for='data-9a33f2f1-fd96-4892-8422-136f9c038951' title='Show/Hide data repr'><svg 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>acccumlated QMELTC</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated canopy snow melt</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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </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>ACPONDING</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-20f59f5f-0e96-4e04-bcd4-e2fccff7e806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20f59f5f-0e96-4e04-bcd4-e2fccff7e806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63d0cfe0-4e45-4da2-ac6b-49251dc8ce8d' class='xr-var-data-in' type='checkbox'><label for='data-63d0cfe0-4e45-4da2-ac6b-49251dc8ce8d' title='Show/Hide data repr'><svg 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>acccumlated PONDING</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated surface ponding from complete pack melt</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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 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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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACRAINSNOW</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-67640cc6-56ac-4413-97f7-e55da2300d64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67640cc6-56ac-4413-97f7-e55da2300d64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dd59598-b414-453f-abef-068ca7a69a44' class='xr-var-data-in' type='checkbox'><label for='data-6dd59598-b414-453f-abef-068ca7a69a44' title='Show/Hide data repr'><svg 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>acccumlated rain on snow pack</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated rain on snow pack</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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACRUNSB</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-33986dcc-0fb7-4b00-a988-2dcb548cec6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33986dcc-0fb7-4b00-a988-2dcb548cec6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-793cd6c0-7c04-4b68-b2ba-d937e037fd3d' class='xr-var-data-in' type='checkbox'><label for='data-793cd6c0-7c04-4b68-b2ba-d937e037fd3d' title='Show/Hide data repr'><svg 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>acccumlated RUNSB</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated subsurface runoff</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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
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+ " \n",
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+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </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>ACRUNSF</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-129d1fd2-142b-4559-8982-5234fe5a149a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-129d1fd2-142b-4559-8982-5234fe5a149a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12644117-1adf-411f-ac22-3e46f1807fdd' class='xr-var-data-in' type='checkbox'><label for='data-12644117-1adf-411f-ac22-3e46f1807fdd' title='Show/Hide data repr'><svg 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>acccumlated RUNSF</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated surface runoff</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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+ " <th> Chunk </th>\n",
+ " </tr>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " <td> 16.82 MiB </td>\n",
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+ " \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>ACSHFLSM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-3a3ddc64-c4e2-4d25-bade-e2a646c04e0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a3ddc64-c4e2-4d25-bade-e2a646c04e0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae09d0f6-13d6-4e9b-96b4-25e929edb60e' class='xr-var-data-in' type='checkbox'><label for='data-ae09d0f6-13d6-4e9b-96b4-25e929edb60e' title='Show/Hide data repr'><svg 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>acccumlated total sensible heat flux</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated total sensible heat flux</dd><dt><span>units :</span></dt><dd>kJ m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ " \n",
+ " <tr>\n",
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+ " <tr>\n",
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+ " <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",
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+ " \n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACSNFRO</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-b01e187e-89c6-4084-a30b-b4b7b8d3f714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b01e187e-89c6-4084-a30b-b4b7b8d3f714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6199a03-7b5b-4972-bf01-81306a4d0db6' class='xr-var-data-in' type='checkbox'><label for='data-f6199a03-7b5b-4972-bf01-81306a4d0db6' title='Show/Hide data repr'><svg 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>acccumlated QSNFRO</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated snowpack frost</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\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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+ " <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>ACSNOM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-12e864d5-e99f-4ca2-a22d-4c30000fa547' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12e864d5-e99f-4ca2-a22d-4c30000fa547' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a09c09ce-1ffb-460e-a8dc-5ba68c436576' class='xr-var-data-in' type='checkbox'><label for='data-a09c09ce-1ffb-460e-a8dc-5ba68c436576' title='Show/Hide data repr'><svg 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>ACCUMULATED MELTED SNOW</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated total liquid water out of the snowpack</dd><dt><span>units :</span></dt><dd>kg 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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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACSNOWLSM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-d907eb1d-e3c4-4a12-9b79-c719806a4fc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d907eb1d-e3c4-4a12-9b79-c719806a4fc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f7fd179-d102-4ee8-86d4-92e37c321aeb' class='xr-var-data-in' type='checkbox'><label for='data-8f7fd179-d102-4ee8-86d4-92e37c321aeb' title='Show/Hide data repr'><svg 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>acccumlated SNOWLSM</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated frozen precipitation into land surface model</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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <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>ACSNSUB</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-e55a1317-f9ad-45cb-89c7-2372951aeaee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e55a1317-f9ad-45cb-89c7-2372951aeaee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65a9491d-e963-4a32-a137-8a760724a6fb' class='xr-var-data-in' type='checkbox'><label for='data-65a9491d-e963-4a32-a137-8a760724a6fb' title='Show/Hide data repr'><svg 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>acccumlated QSNSUB</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated snowpack sublimation</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\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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+ " \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>ACSUBC</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-938e2697-f399-4e7b-87bd-6a4aef242aab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-938e2697-f399-4e7b-87bd-6a4aef242aab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bbc7687-1294-438c-a447-e02ad8c0958a' class='xr-var-data-in' type='checkbox'><label for='data-6bbc7687-1294-438c-a447-e02ad8c0958a' title='Show/Hide data repr'><svg 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>acccumlated QSUBC</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated canopy snow sublimation</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",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " \n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACSWDNB</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-cda4cf67-5e36-4c40-a154-737ef5093f25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cda4cf67-5e36-4c40-a154-737ef5093f25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e828cd78-eebd-4e34-849d-aa4b2141f228' class='xr-var-data-in' type='checkbox'><label for='data-e828cd78-eebd-4e34-849d-aa4b2141f228' title='Show/Hide data repr'><svg 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>ACCUMULATED DOWNWELLING SHORTWAVE FLUX AT BOTTOM</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated downwelling shortwave radiation flux at bottom</dd><dt><span>units :</span></dt><dd>J m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Chunk </th>\n",
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+ " <tbody>\n",
+ " \n",
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+ " \n",
+ " <tr>\n",
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+ " <td> (15336, 1015, 1367) </td>\n",
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+ " <th> Data type </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>ACSWUPLSM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-4e7309a6-670f-48d9-8f2b-bd37fd5f8634' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e7309a6-670f-48d9-8f2b-bd37fd5f8634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c85d615-c5f0-4a7c-b4ba-136271a24674' class='xr-var-data-in' type='checkbox'><label for='data-2c85d615-c5f0-4a7c-b4ba-136271a24674' title='Show/Hide data repr'><svg 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>acccumlated SWUP</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated shortwave radiation up at land surface model</dd><dt><span>units :</span></dt><dd>kJ m-2</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \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>ACTHROR</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-f3c0e63a-aa2f-4efa-b8e4-7b80350c20ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3c0e63a-aa2f-4efa-b8e4-7b80350c20ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf4de5fc-d722-44b1-8abe-825dccce9ba6' class='xr-var-data-in' type='checkbox'><label for='data-bf4de5fc-d722-44b1-8abe-825dccce9ba6' title='Show/Hide data repr'><svg 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>acccumlated QTHROR</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated canopy rain throughfall</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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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " \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>ACTHROS</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-d8f23f36-1d01-407d-a993-f8f4d745ad90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8f23f36-1d01-407d-a993-f8f4d745ad90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2020ffe9-6639-4401-8ad9-c05323f00b84' class='xr-var-data-in' type='checkbox'><label for='data-2020ffe9-6639-4401-8ad9-c05323f00b84' title='Show/Hide data repr'><svg 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>acccumlated QTHROS</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated canopy snow throughfall</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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </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>ACTR</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-3e5609ed-7ddb-404f-b09c-24311e833ec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e5609ed-7ddb-404f-b09c-24311e833ec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb2dc5ed-53d3-48cb-b870-45e5ec804bf8' class='xr-var-data-in' type='checkbox'><label for='data-bb2dc5ed-53d3-48cb-b870-45e5ec804bf8' title='Show/Hide data repr'><svg 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>acccumlated TR</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated transpiration</dd><dt><span>units :</span></dt><dd>kJ 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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 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",
+ " <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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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2F</span></div><div class='xr-var-dims'>(bottom_top_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(51,), meta=np.ndarray></div><input id='attrs-5452d224-13d8-4fee-9ea7-05e46fde2ebe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5452d224-13d8-4fee-9ea7-05e46fde2ebe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56f70463-1a9c-46b2-9e38-df5f7e1e04cb' class='xr-var-data-in' type='checkbox'><label for='data-56f70463-1a9c-46b2-9e38-df5f7e1e04cb' title='Show/Hide data repr'><svg 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>full levels, c2f = (1-c1f)*(p0-pt)</dd><dt><span>long_name :</span></dt><dd>Full levels, c2f = (1-c1f)*(p0-pt)</dd><dt><span>units :</span></dt><dd>Pa</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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+ " </tr>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 204 B </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ " <td> (51,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph 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>C2H</span></div><div class='xr-var-dims'>(bottom_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(50,), meta=np.ndarray></div><input id='attrs-328f66e9-61cc-4599-a87b-0437c2060a92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-328f66e9-61cc-4599-a87b-0437c2060a92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5aa3da06-bf11-4088-b5b5-273ddf9fff79' class='xr-var-data-in' type='checkbox'><label for='data-5aa3da06-bf11-4088-b5b5-273ddf9fff79' title='Show/Hide data repr'><svg 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>half levels, c2h = (1-c1h)*(p0-pt)</dd><dt><span>long_name :</span></dt><dd>Half levels, c2h = (1-c1h)*(p0-pt)</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 200 B </td>\n",
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+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (50,) </td>\n",
+ " <td> (50,) </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph 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>C3F</span></div><div class='xr-var-dims'>(bottom_top_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(51,), meta=np.ndarray></div><input id='attrs-1c3ecd94-1159-49e8-adce-18695641000a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c3ecd94-1159-49e8-adce-18695641000a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdded115-dd22-4a24-be13-80ea57b4f128' class='xr-var-data-in' type='checkbox'><label for='data-fdded115-dd22-4a24-be13-80ea57b4f128' title='Show/Hide data repr'><svg 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>full levels, c3f = bf</dd><dt><span>long_name :</span></dt><dd>Full levels, c3f = bf</dd><dt><span>units :</span></dt><dd>Dimensionless</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 204 B </td>\n",
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+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (51,) </td>\n",
+ " <td> (51,) </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 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",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ " <td> 200 B </td>\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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+ " <th> Bytes </th>\n",
+ " <td> 204 B </td>\n",
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+ " <tr>\n",
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+ " <tr>\n",
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+ " <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",
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+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 200 B </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (50,) </td>\n",
+ " <td> (50,) </td>\n",
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+ " <tr>\n",
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+ " <tr>\n",
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+ " <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+ " </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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 chunks in 2 graph 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>CF1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b770b17a-3350-49bb-888b-1beeb62354e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b770b17a-3350-49bb-888b-1beeb62354e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6853aeb-6ba4-4cea-82c2-ec7eae95892f' class='xr-var-data-in' type='checkbox'><label for='data-c6853aeb-6ba4-4cea-82c2-ec7eae95892f' title='Show/Hide data repr'><svg 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>2nd order extrapolation constant</dd><dt><span>long_name :</span></dt><dd>2nd order extrapolation constant</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CF2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd98db39-b2b1-4e11-be6b-a5f243b9fcea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd98db39-b2b1-4e11-be6b-a5f243b9fcea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84c4fc94-cbb9-4cac-824d-e4ad05a8f7aa' class='xr-var-data-in' type='checkbox'><label for='data-84c4fc94-cbb9-4cac-824d-e4ad05a8f7aa' title='Show/Hide data repr'><svg 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>2nd order extrapolation constant</dd><dt><span>long_name :</span></dt><dd>2nd order extrapolation constant</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CF3</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-753313f9-e736-48f5-856b-2c58e5e90c8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-753313f9-e736-48f5-856b-2c58e5e90c8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-749e3890-0185-4df8-8553-abac7b26f40e' class='xr-var-data-in' type='checkbox'><label for='data-749e3890-0185-4df8-8553-abac7b26f40e' title='Show/Hide data repr'><svg 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>2nd order extrapolation constant</dd><dt><span>long_name :</span></dt><dd>2nd order extrapolation constant</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CFN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0ae4ead-1379-45e7-af34-98fceb3a428f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0ae4ead-1379-45e7-af34-98fceb3a428f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d5777b6-b552-4001-b673-35140ca8dee6' class='xr-var-data-in' type='checkbox'><label for='data-8d5777b6-b552-4001-b673-35140ca8dee6' title='Show/Hide data repr'><svg 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>extrapolation constant</dd><dt><span>long_name :</span></dt><dd>Extrapolation constant</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CFN1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96794c6b-909b-4433-b508-66554c356302' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96794c6b-909b-4433-b508-66554c356302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-397d7a0b-45e3-4b33-a38b-d6b796a08041' class='xr-var-data-in' type='checkbox'><label for='data-397d7a0b-45e3-4b33-a38b-d6b796a08041' title='Show/Hide data repr'><svg 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>extrapolation constant</dd><dt><span>long_name :</span></dt><dd>Extrapolation constant</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CLAT</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-229d8975-2d1d-43bb-a924-f444305b1850' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-229d8975-2d1d-43bb-a924-f444305b1850' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c7e4260-d019-452d-a3d5-a425d43eed32' class='xr-var-data-in' type='checkbox'><label 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+ " <th> Array </th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ " <td> (350, 350) </td>\n",
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+ " <th> Data type </th>\n",
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+ " <td>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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",
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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DN</span></div><div class='xr-var-dims'>(bottom_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(50,), meta=np.ndarray></div><input id='attrs-fc5ff292-93c1-4b00-9f83-eaf1d2e3fe4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc5ff292-93c1-4b00-9f83-eaf1d2e3fe4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad1ed563-3da5-47c7-9d27-5391dc6607d2' class='xr-var-data-in' type='checkbox'><label for='data-ad1ed563-3da5-47c7-9d27-5391dc6607d2' title='Show/Hide data repr'><svg 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>d(eta) values between half (mass) levels</dd><dt><span>long_name :</span></dt><dd>D(eta) values between half (mass) levels</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> 200 B </td>\n",
+ " <td> 200 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (50,) </td>\n",
+ " <td> (50,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 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",
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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DNW</span></div><div class='xr-var-dims'>(bottom_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(50,), meta=np.ndarray></div><input id='attrs-eae76f24-4232-4ced-a6c9-89de5bd7ddc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eae76f24-4232-4ced-a6c9-89de5bd7ddc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14164df4-20cd-4128-b67c-772951292fb6' class='xr-var-data-in' type='checkbox'><label for='data-14164df4-20cd-4128-b67c-772951292fb6' title='Show/Hide data repr'><svg 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>d(eta) values between full (w) levels</dd><dt><span>long_name :</span></dt><dd>D(eta) values between full (w) levels</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> 200 B </td>\n",
+ " <td> 200 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (50,) </td>\n",
+ " <td> (50,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 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=\"170\" height=\"79\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DZS</span></div><div class='xr-var-dims'>(soil_layers_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(4,), meta=np.ndarray></div><input id='attrs-42d4e23f-4e93-43c0-8854-4444abdb3a7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42d4e23f-4e93-43c0-8854-4444abdb3a7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e3f33f6-d7fe-4eb0-a4aa-a77c2f3a7fce' class='xr-var-data-in' type='checkbox'><label for='data-0e3f33f6-d7fe-4eb0-a4aa-a77c2f3a7fce' title='Show/Hide data repr'><svg 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>THICKNESSES OF SOIL LAYERS</dd><dt><span>long_name :</span></dt><dd>Thickness of soil layers</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 16 B </td>\n",
+ " <td> 16 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (4,) </td>\n",
+ " <td> (4,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 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=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>E</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-b9771f7d-6712-48d4-8804-b494c7763ce1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9771f7d-6712-48d4-8804-b494c7763ce1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8646f57-0c9c-47c3-8ce0-5da0aeb9f0dd' class='xr-var-data-in' type='checkbox'><label for='data-d8646f57-0c9c-47c3-8ce0-5da0aeb9f0dd' title='Show/Hide data repr'><svg 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>Coriolis cosine latitude term</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Coriolis cosine latitude term</dd><dt><span>units :</span></dt><dd>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> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph 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>\n",
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+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>E2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-344f3381-c278-4b03-a847-2a322619ad5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-344f3381-c278-4b03-a847-2a322619ad5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28884853-7392-4b8e-a2e6-d7a6ff5057f2' class='xr-var-data-in' type='checkbox'><label for='data-28884853-7392-4b8e-a2e6-d7a6ff5057f2' title='Show/Hide data repr'><svg 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 :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Vapor pressure at 2 meters</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ES2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-3b2c629c-53d2-4b44-a9d2-e457a8107425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b2c629c-53d2-4b44-a9d2-e457a8107425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9719b615-5265-4a9c-a342-2f0034a22e8b' class='xr-var-data-in' type='checkbox'><label for='data-9719b615-5265-4a9c-a342-2f0034a22e8b' title='Show/Hide data repr'><svg 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 :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Saturation vapor pressure at 2 meters</dd><dt><span>notes :</span></dt><dd>Tetens equation</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <td>\n",
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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </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>F</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-94489585-de56-4ec5-891a-1911610aa17c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94489585-de56-4ec5-891a-1911610aa17c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb8fbb79-8411-4136-9fd7-0366911f8acc' class='xr-var-data-in' type='checkbox'><label for='data-fb8fbb79-8411-4136-9fd7-0366911f8acc' title='Show/Hide data repr'><svg 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>Coriolis sine latitude term</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Coriolis sine latitude term</dd><dt><span>units :</span></dt><dd>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",
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+ " <th> Array </th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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>FNM</span></div><div class='xr-var-dims'>(bottom_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(50,), meta=np.ndarray></div><input id='attrs-c30f1233-1a76-4bc0-b939-ef1aaf23a722' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c30f1233-1a76-4bc0-b939-ef1aaf23a722' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2383470b-fc9c-4297-bd35-6b7e6b392569' class='xr-var-data-in' type='checkbox'><label for='data-2383470b-fc9c-4297-bd35-6b7e6b392569' title='Show/Hide data repr'><svg 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>upper weight for vertical stretching</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Upper weight for vertical stretching</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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+ " \n",
+ " <tr>\n",
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+ " <td> 200 B </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>GRAUPEL_ACC_NC</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-37953bb2-717c-4779-be51-706c788b098e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37953bb2-717c-4779-be51-706c788b098e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2064dff2-7457-4c45-b90e-bd451e0da9bf' class='xr-var-data-in' type='checkbox'><label for='data-2064dff2-7457-4c45-b90e-bd451e0da9bf' title='Show/Hide data repr'><svg 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>ACCUMULATED GRAUPEL WATER EQUIVALENT OVER prec_acc_dt PERIODS OF TIME</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated graupel water equivalent</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <tbody>\n",
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+ " <td> 5.29 MiB </td>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>IVGTYP</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-dc2e4494-84b5-49aa-8a3a-13a497dd7c25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc2e4494-84b5-49aa-8a3a-13a497dd7c25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f51ec4f-dcb8-4aa8-b6d6-b8f334caf840' class='xr-var-data-in' type='checkbox'><label for='data-1f51ec4f-dcb8-4aa8-b6d6-b8f334caf840' title='Show/Hide data repr'><svg 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>DOMINANT VEGETATION CATEGORY</dd><dt><span>flag_meanings :</span></dt><dd>evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forests closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built-up cropland-natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated water wooded_tundra mixed_tundra barren_tundra</dd><dt><span>flag_values :</span></dt><dd>1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Dominant vegetation category</dd><dt><span>units :</span></dt><dd></dd><dt><span>valid_range :</span></dt><dd>1, 20</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> int32 numpy.ndarray </td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ " </table>\n",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LAKEMASK</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-a26f5f92-e6c2-43d3-ab33-ad1faaa45da4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a26f5f92-e6c2-43d3-ab33-ad1faaa45da4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92b9f201-444c-45c4-acc3-00d6d5bee886' class='xr-var-data-in' type='checkbox'><label for='data-92b9f201-444c-45c4-acc3-00d6d5bee886' title='Show/Hide data repr'><svg 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>LAKE MASK (1 FOR LAKE, 0 FOR NON-LAKE)</dd><dt><span>flag_meanings :</span></dt><dd>non-lake lake</dd><dt><span>flag_values :</span></dt><dd>0.0, 1.0</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Lake mask (1 for lake, 0 for non-lake)</dd><dt><span>units :</span></dt><dd></dd><dt><span>valid_range :</span></dt><dd>0.0, 1.0</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LANDMASK</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-0e70e8ae-8cb2-4bc5-86c4-0dd4fbb3b525' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e70e8ae-8cb2-4bc5-86c4-0dd4fbb3b525' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df490eb1-226d-4e46-bdf1-d6f39137ca45' class='xr-var-data-in' type='checkbox'><label for='data-df490eb1-226d-4e46-bdf1-d6f39137ca45' title='Show/Hide data repr'><svg 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>LAND MASK (1 FOR LAND, 0 FOR WATER)</dd><dt><span>flag_meanings :</span></dt><dd>water land</dd><dt><span>flag_values :</span></dt><dd>0.0, 1.0</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Land mask (1 for land, 0 for water)</dd><dt><span>units :</span></dt><dd></dd><dt><span>valid_range :</span></dt><dd>0.0, 1.0</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LU_INDEX</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-7f55548c-8270-4ec4-b3c2-86d619a97ccc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f55548c-8270-4ec4-b3c2-86d619a97ccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8905d721-c011-4824-8a0e-ba68baf4035a' class='xr-var-data-in' type='checkbox'><label for='data-8905d721-c011-4824-8a0e-ba68baf4035a' title='Show/Hide data repr'><svg 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>LAND USE CATEGORY</dd><dt><span>flag_meanings :</span></dt><dd>evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forests closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built-up cropland-natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated water wooded_tundra mixed_tundra barren_tundra</dd><dt><span>flag_values :</span></dt><dd>1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Land use category</dd><dt><span>units :</span></dt><dd></dd><dt><span>valid_range :</span></dt><dd>1, 20</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph 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>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAPFAC_M</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-0d1b6c12-5458-477b-9e44-f7137467f58e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d1b6c12-5458-477b-9e44-f7137467f58e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dbef360-c8a2-41d6-b072-79d23241d312' class='xr-var-data-in' type='checkbox'><label for='data-9dbef360-c8a2-41d6-b072-79d23241d312' title='Show/Hide data repr'><svg 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>Map scale factor on mass grid</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on mass grid</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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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph 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>MAPFAC_MX</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-a6bda7c7-d1e8-494d-9b63-d9bf068b53c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6bda7c7-d1e8-494d-9b63-d9bf068b53c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9eca5d7-0cdc-4aa2-a58a-16680af8d349' class='xr-var-data-in' type='checkbox'><label for='data-b9eca5d7-0cdc-4aa2-a58a-16680af8d349' title='Show/Hide data repr'><svg 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>Map scale factor on mass grid, x direction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on mass grid, x direction</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> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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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+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\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>MAPFAC_MY</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-60da3f41-7897-476c-a6a6-5486d479b698' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60da3f41-7897-476c-a6a6-5486d479b698' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-473c923f-b114-443c-a8b5-b31d5d0d2c8b' class='xr-var-data-in' type='checkbox'><label for='data-473c923f-b114-443c-a8b5-b31d5d0d2c8b' title='Show/Hide data repr'><svg 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>Map scale factor on mass grid, y direction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on mass grid, y direction</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> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\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>MAPFAC_U</span></div><div class='xr-var-dims'>(y, x_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-7fd35986-8435-4f05-bba1-d8b84d76394c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fd35986-8435-4f05-bba1-d8b84d76394c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7f0987f-8c94-43b4-a4cd-48ce5b98a34e' class='xr-var-data-in' type='checkbox'><label for='data-f7f0987f-8c94-43b4-a4cd-48ce5b98a34e' title='Show/Hide data repr'><svg 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>Map scale factor on u-grid</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on u-grid</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> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1368) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\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>MAPFAC_UX</span></div><div class='xr-var-dims'>(y, x_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-08c4b3af-fb33-49b0-86a2-8689233c7584' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08c4b3af-fb33-49b0-86a2-8689233c7584' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e42ca5a3-4fbd-44e4-af98-a88853b27086' class='xr-var-data-in' type='checkbox'><label for='data-e42ca5a3-4fbd-44e4-af98-a88853b27086' title='Show/Hide data repr'><svg 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>Map scale factor on u-grid, x direction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on u-grid, x direction</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> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1368) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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=\"170\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\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>MAPFAC_UY</span></div><div class='xr-var-dims'>(y, x_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-710bbc63-8964-40fd-8c70-1884526c7795' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-710bbc63-8964-40fd-8c70-1884526c7795' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62a59a55-1cb4-4e04-9365-4c1e7350dd5b' class='xr-var-data-in' type='checkbox'><label for='data-62a59a55-1cb4-4e04-9365-4c1e7350dd5b' title='Show/Hide data repr'><svg 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>Map scale factor on u-grid, y direction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on u-grid, y direction</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> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1368) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAPFAC_V</span></div><div class='xr-var-dims'>(y_stag, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-96ee3d5b-f2a5-498e-80f0-e2e36ec34e3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96ee3d5b-f2a5-498e-80f0-e2e36ec34e3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f01cd1b-98b4-4ae0-9a44-0f93696b57b8' class='xr-var-data-in' type='checkbox'><label for='data-4f01cd1b-98b4-4ae0-9a44-0f93696b57b8' title='Show/Hide data repr'><svg 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>Map scale factor on v-grid</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on v-grid</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> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1016, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAPFAC_VX</span></div><div class='xr-var-dims'>(y_stag, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-bbbf926e-6657-4661-a556-a66dae412fe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbbf926e-6657-4661-a556-a66dae412fe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d97f7bf-f8d1-4df1-ba13-4126af91f2fa' class='xr-var-data-in' type='checkbox'><label for='data-8d97f7bf-f8d1-4df1-ba13-4126af91f2fa' title='Show/Hide data repr'><svg 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>Map scale factor on v-grid, x direction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on v-grid, x direction</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> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1016, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAPFAC_VY</span></div><div class='xr-var-dims'>(y_stag, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-6a5b749a-0e9c-4fbf-b157-dace5741bb8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a5b749a-0e9c-4fbf-b157-dace5741bb8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b12153be-49ba-4a5b-b38f-23a0d73c1897' class='xr-var-data-in' type='checkbox'><label for='data-b12153be-49ba-4a5b-b38f-23a0d73c1897' title='Show/Hide data repr'><svg 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>Map scale factor on v-grid, y direction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Map scale factor on v-grid, y direction</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> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1016, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 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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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAX_MSTFX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee6c5595-0d51-4e13-aed9-2a4d0e6d558e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee6c5595-0d51-4e13-aed9-2a4d0e6d558e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32a4cccc-501b-468b-9cf4-3e3eea3c1344' class='xr-var-data-in' type='checkbox'><label for='data-32a4cccc-501b-468b-9cf4-3e3eea3c1344' title='Show/Hide data repr'><svg 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>Max map factor in domain</dd><dt><span>long_name :</span></dt><dd>Maximum map factor in domain</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAX_MSTFY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40e55df1-664f-4ed2-a18c-565415f658b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40e55df1-664f-4ed2-a18c-565415f658b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3046439d-2d5f-4775-85d8-3005c4a68f3e' class='xr-var-data-in' type='checkbox'><label for='data-3046439d-2d5f-4775-85d8-3005c4a68f3e' title='Show/Hide data repr'><svg 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>Max map factor in domain</dd><dt><span>long_name :</span></dt><dd>Maximum map factor in domain</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MF_VX_INV</span></div><div class='xr-var-dims'>(y_stag, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-e440094d-39ea-448e-ac65-0f46fb02435b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e440094d-39ea-448e-ac65-0f46fb02435b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c824786d-6249-44d0-a45a-3d502a83d79e' class='xr-var-data-in' type='checkbox'><label for='data-c824786d-6249-44d0-a45a-3d502a83d79e' title='Show/Hide data repr'><svg 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>Inverse map scale factor on v-grid, x direction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Inverse map scale factor on v-grid, x direction</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> 5.30 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1016, 1367) </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph 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>MLCAPE</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-806ed3e1-29c0-4602-ada8-d1a51196e501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-806ed3e1-29c0-4602-ada8-d1a51196e501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ed5d76-4dc8-497f-9fac-8f1454a02a86' class='xr-var-data-in' type='checkbox'><label for='data-34ed5d76-4dc8-497f-9fac-8f1454a02a86' title='Show/Hide data repr'><svg 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>MIXED-LAYER CAPE</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Mixed-layer convective available potential energy (CAPE)</dd><dt><span>units :</span></dt><dd>J 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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+ " <th> Array </th>\n",
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+ " <tbody>\n",
+ " \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>MUB</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-d487005e-e099-414b-9da4-26369bd06876' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d487005e-e099-414b-9da4-26369bd06876' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2696b127-e209-4310-8364-5bca7d2c7edb' class='xr-var-data-in' type='checkbox'><label for='data-2696b127-e209-4310-8364-5bca7d2c7edb' title='Show/Hide data repr'><svg 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>base state dry air mass in column</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Base state dry air mass in column</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+ " </tbody>\n",
+ " </table>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P00</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f7b745d-e403-4dd3-b896-e9e5c3ee0c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f7b745d-e403-4dd3-b896-e9e5c3ee0c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c9c432-8b93-4d14-b195-434f247d4c45' class='xr-var-data-in' type='checkbox'><label for='data-03c9c432-8b93-4d14-b195-434f247d4c45' title='Show/Hide data repr'><svg 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>BASE STATE PRESURE</dd><dt><span>long_name :</span></dt><dd>Base state pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PB</span></div><div class='xr-var-dims'>(bottom_top, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(50, 350, 350), meta=np.ndarray></div><input id='attrs-39b91511-7b11-4f4a-a63e-45011dddcf70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39b91511-7b11-4f4a-a63e-45011dddcf70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0048db3-9aaf-409e-83a4-32207fd6a21c' class='xr-var-data-in' type='checkbox'><label for='data-f0048db3-9aaf-409e-83a4-32207fd6a21c' title='Show/Hide data repr'><svg 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>BASE STATE PRESSURE</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Base state pressure</dd><dt><span>units :</span></dt><dd>Pa</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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+ " <th> Array </th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 264.65 MiB </td>\n",
+ " <td> 23.37 MiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ " <td> (50, 350, 350) </td>\n",
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+ " <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",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PWAT</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-4bc64b29-04fc-4b7b-b8e7-238e9b9d9867' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bc64b29-04fc-4b7b-b8e7-238e9b9d9867' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6402838a-c9d2-4dd6-8c7c-0f6709e96869' class='xr-var-data-in' type='checkbox'><label for='data-6402838a-c9d2-4dd6-8c7c-0f6709e96869' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>description :</span></dt><dd>Precipitable Water</dd><dt><span>sum_op_ncl :</span></dt><dd>dim_sum_n over dimension(s): bottom_top</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P_STRAT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-adb20dfd-aef5-457a-b0d5-691b0df23b05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adb20dfd-aef5-457a-b0d5-691b0df23b05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7f4c1f5-4649-43b8-895f-d7723b04ec1c' class='xr-var-data-in' type='checkbox'><label for='data-b7f4c1f5-4649-43b8-895f-d7723b04ec1c' title='Show/Hide data repr'><svg 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>BASE STATE PRESSURE AT BOTTOM OF STRATOSPHERE</dd><dt><span>long_name :</span></dt><dd>Base state pressure at bottom of stratosphere</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P_TOP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae951282-c696-4aee-9c3a-e892c04602e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae951282-c696-4aee-9c3a-e892c04602e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1aa5e0db-899a-40ad-93ff-e4e3814bf5e7' class='xr-var-data-in' type='checkbox'><label for='data-1aa5e0db-899a-40ad-93ff-e4e3814bf5e7' title='Show/Hide data repr'><svg 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>PRESSURE TOP OF THE MODEL</dd><dt><span>long_name :</span></dt><dd>Pressure top of the model</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-38af62d5-280b-4b3f-97f7-6ef65fde1f6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38af62d5-280b-4b3f-97f7-6ef65fde1f6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ad1b3f8-237a-44d1-8d31-3e48675b1e88' class='xr-var-data-in' type='checkbox'><label for='data-9ad1b3f8-237a-44d1-8d31-3e48675b1e88' title='Show/Hide data repr'><svg 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>QV at 2 M</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Water vapor mixing ratio at 2 meters</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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+ " <tbody>\n",
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+ " <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>QRFS</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-7ed5985d-6612-4934-8d1d-7833f2ce1b94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ed5985d-6612-4934-8d1d-7833f2ce1b94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15ff3e18-a475-489f-9b03-6f10a1eddbc2' class='xr-var-data-in' type='checkbox'><label for='data-15ff3e18-a475-489f-9b03-6f10a1eddbc2' title='Show/Hide data repr'><svg 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>sum baseflow</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated baseflow</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <tbody>\n",
+ " \n",
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+ " \n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QSLAT</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-10b4e320-0d4e-4309-b263-e94d5f55abe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10b4e320-0d4e-4309-b263-e94d5f55abe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da18e13a-447c-482c-a3d2-7d3c8c087666' class='xr-var-data-in' type='checkbox'><label for='data-da18e13a-447c-482c-a3d2-7d3c8c087666' title='Show/Hide data repr'><svg 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>sum lateral flow</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated groundwater lateral flow</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Chunk </th>\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>QSPRINGS</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-ffb08fce-66df-4e75-8ae5-7a07465e2052' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffb08fce-66df-4e75-8ae5-7a07465e2052' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c775f397-87c1-4ba3-a1ef-e457a20c53b4' class='xr-var-data-in' type='checkbox'><label for='data-c775f397-87c1-4ba3-a1ef-e457a20c53b4' title='Show/Hide data repr'><svg 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>sum seeping water</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated seeping water</dd><dt><span>units :</span></dt><dd>m</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",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " </tr>\n",
+ " \n",
+ " <tr>\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>QVAPOR</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-2401267a-a5b2-4d48-bf78-cf860cf6787e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2401267a-a5b2-4d48-bf78-cf860cf6787e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2760f43-5bf9-46b2-a892-b1ae215e4781' class='xr-var-data-in' type='checkbox'><label for='data-f2760f43-5bf9-46b2-a892-b1ae215e4781' title='Show/Hide data repr'><svg 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>Water vapor mixing ratio</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Water vapor mixing ratio</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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+ " <tr>\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> 79.27 GiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 chunks in 2 graph 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",
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+ " <th> Chunk </th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 200 B </td>\n",
+ " <td> 200 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (50,) </td>\n",
+ " <td> (50,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 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",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RDNW</span></div><div class='xr-var-dims'>(bottom_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(50,), meta=np.ndarray></div><input id='attrs-d906ab23-b523-45cb-8e72-aae24305b760' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d906ab23-b523-45cb-8e72-aae24305b760' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b561aad-d831-4b64-a316-2ce0633e6445' class='xr-var-data-in' type='checkbox'><label for='data-6b561aad-d831-4b64-a316-2ce0633e6445' title='Show/Hide data repr'><svg 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>inverse d(eta) values between full (w) levels</dd><dt><span>long_name :</span></dt><dd>Inverse d(eta) values between full (w) levels</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> 200 B </td>\n",
+ " <td> 200 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (50,) </td>\n",
+ " <td> (50,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 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",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RDX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-68aec332-2def-4238-900f-89d271020e3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68aec332-2def-4238-900f-89d271020e3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-731b444b-e40f-48fe-a66a-f2b688f3c0fc' class='xr-var-data-in' type='checkbox'><label for='data-731b444b-e40f-48fe-a66a-f2b688f3c0fc' title='Show/Hide data repr'><svg 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>INVERSE X GRID LENGTH</dd><dt><span>long_name :</span></dt><dd>Inverse X grid length</dd><dt><span>units :</span></dt><dd>m-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RDY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-827282ca-dd5f-425f-9fc1-28c266e5ef30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-827282ca-dd5f-425f-9fc1-28c266e5ef30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a8403ef-3e0e-475a-8d7e-8b38be3cdd81' class='xr-var-data-in' type='checkbox'><label for='data-6a8403ef-3e0e-475a-8d7e-8b38be3cdd81' title='Show/Hide data repr'><svg 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>INVERSE Y GRID LENGTH</dd><dt><span>long_name :</span></dt><dd>Inverse Y grid length</dd><dt><span>units :</span></dt><dd>m-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RECH</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-454d3c82-6c96-44af-b7f2-bfde9142c5e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-454d3c82-6c96-44af-b7f2-bfde9142c5e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe506e11-c453-449a-ba93-bd4b3da53cc0' class='xr-var-data-in' type='checkbox'><label for='data-fe506e11-c453-449a-ba93-bd4b3da53cc0' title='Show/Hide data repr'><svg 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>sum water table recharge</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated water table recharge</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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 chunks in 2 graph 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>RH2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-7be46788-46ab-4286-b5fc-331509955293' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7be46788-46ab-4286-b5fc-331509955293' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f84fc17-229a-4871-83be-3b8d9af95912' class='xr-var-data-in' type='checkbox'><label for='data-0f84fc17-229a-4871-83be-3b8d9af95912' title='Show/Hide data repr'><svg 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 :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Relative humidity at 2 meters</dd><dt><span>notes :</span></dt><dd>Tetens equation</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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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </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>SH2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-38d9d485-a51a-475c-9e93-98f17497d712' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38d9d485-a51a-475c-9e93-98f17497d712' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0d9c812-1b4f-4f98-b7cf-10296f62f3c9' class='xr-var-data-in' type='checkbox'><label for='data-a0d9c812-1b4f-4f98-b7cf-10296f62f3c9' title='Show/Hide data repr'><svg 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 :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Specific humidity at 2 meters</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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SH2O</span></div><div class='xr-var-dims'>(time, soil_layers_stag, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 4, 350, 350), meta=np.ndarray></div><input id='attrs-2ed9b206-6337-48c0-8b0b-9207252be209' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ed9b206-6337-48c0-8b0b-9207252be209' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50860b82-e75a-49e4-ab6b-b5fc99bbba89' class='xr-var-data-in' type='checkbox'><label for='data-50860b82-e75a-49e4-ab6b-b5fc99bbba89' title='Show/Hide data repr'><svg 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>SOIL LIQUID WATER</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil liquid water</dd><dt><span>number_of_significant_digits :</span></dt><dd>5</dd><dt><span>units :</span></dt><dd>m3 m-3</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> 317.08 GiB </td>\n",
+ " <td> 67.29 MiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 4, 1015, 1367) </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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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHDMAX</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-d7162966-eece-4b27-b94e-4949400a2721' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7162966-eece-4b27-b94e-4949400a2721' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-369e327b-bd0b-41db-bfb3-44912a2b89f9' class='xr-var-data-in' type='checkbox'><label for='data-369e327b-bd0b-41db-bfb3-44912a2b89f9' title='Show/Hide data repr'><svg 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>ANNUAL MAX VEG FRACTION</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Annual maximum vegetation fraction</dd><dt><span>units :</span></dt><dd>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",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
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+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph layers </td>\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>SHDMIN</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-ff3cdd6b-3e2d-4f10-9d44-c1cbc2c1c454' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff3cdd6b-3e2d-4f10-9d44-c1cbc2c1c454' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42d60078-65b6-48e1-a992-e71754dcabd6' class='xr-var-data-in' type='checkbox'><label for='data-42d60078-65b6-48e1-a992-e71754dcabd6' title='Show/Hide data repr'><svg 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>ANNUAL MIN VEG FRACTION</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Annual minimum vegetation fraction</dd><dt><span>units :</span></dt><dd>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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
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+ " \n",
+ " <tr>\n",
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+ " <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",
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+ " <tr>\n",
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+ " <th> Array </th>\n",
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+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\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>SNOALB</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-5ad6b081-b3aa-44cc-9b54-f178545b7c8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ad6b081-b3aa-44cc-9b54-f178545b7c8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fae6423-1ce5-4504-9732-d99912ccd623' class='xr-var-data-in' type='checkbox'><label for='data-2fae6423-1ce5-4504-9732-d99912ccd623' title='Show/Hide data repr'><svg 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>ANNUAL MAX SNOW ALBEDO IN FRACTION</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Annual maximum snow albedo in fraction</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Array </th>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
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+ " <tbody>\n",
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+ " <tr>\n",
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+ " \n",
+ " <tr>\n",
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+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </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>SNOW_ACC_NC</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-0f41fcb8-5cc5-4737-8ca7-5c763a863ee6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f41fcb8-5cc5-4737-8ca7-5c763a863ee6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d9d9db9-bddb-428d-a74a-877974f353a6' class='xr-var-data-in' type='checkbox'><label for='data-2d9d9db9-bddb-428d-a74a-877974f353a6' title='Show/Hide data repr'><svg 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>ACCUMULATED SNOW WATER EQUIVALENT OVER prec_acc_dt PERIODS OF TIME</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>integration_length :</span></dt><dd>24-hour accumulation</dd><dt><span>long_name :</span></dt><dd>Accumulated snow water equivalent</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " \n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SOILENERGY</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-3210dce7-9c71-47ef-8ef4-1ccb0691b748' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3210dce7-9c71-47ef-8ef4-1ccb0691b748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38215d4f-59fe-4b46-ad36-390d3e23f6f8' class='xr-var-data-in' type='checkbox'><label for='data-38215d4f-59fe-4b46-ad36-390d3e23f6f8' title='Show/Hide data repr'><svg 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>energy content in soil relative to 273.16</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Energy content in soil relative to 273.16 K</dd><dt><span>units :</span></dt><dd>kJ 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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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T00</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4b8a585-c6f2-4c60-a756-f7a31a5bed17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4b8a585-c6f2-4c60-a756-f7a31a5bed17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98c8913a-cc6f-48fb-bc0c-1112f35bab8e' class='xr-var-data-in' type='checkbox'><label for='data-98c8913a-cc6f-48fb-bc0c-1112f35bab8e' title='Show/Hide data repr'><svg 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>BASE STATE TEMPERATURE</dd><dt><span>long_name :</span></dt><dd>Base state temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-d5cea93e-b820-49e5-b968-61984a8d86c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5cea93e-b820-49e5-b968-61984a8d86c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cec30d0-af95-48a9-9f72-ae131ad59363' class='xr-var-data-in' type='checkbox'><label for='data-8cec30d0-af95-48a9-9f72-ae131ad59363' title='Show/Hide data repr'><svg 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>TEMP at 2 M</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Temperature at 2 meters</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",
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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> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
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+ " \n",
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+ " <td> (15336, 1015, 1367) </td>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TD2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-eb2a6a4c-1815-41d4-9efc-8c62885b974d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb2a6a4c-1815-41d4-9efc-8c62885b974d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b925d473-96ad-4976-9c6b-235dd06fb847' class='xr-var-data-in' type='checkbox'><label for='data-b925d473-96ad-4976-9c6b-235dd06fb847' title='Show/Hide data repr'><svg 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>2-m dewpoint temperature</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Dewpoint temperature at 2 meters</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TISO</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4bf87646-b7fe-4b0e-bad9-4c4e017afe67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bf87646-b7fe-4b0e-bad9-4c4e017afe67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-298c2b50-079a-46e8-9ed6-419fb4cce0fd' class='xr-var-data-in' type='checkbox'><label for='data-298c2b50-079a-46e8-9ed6-419fb4cce0fd' title='Show/Hide data repr'><svg 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>TEMP AT WHICH THE BASE T TURNS CONST</dd><dt><span>long_name :</span></dt><dd>Temperature at which the base perturbation potential temperature turns constant</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TK</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-7d582a70-0baf-4417-857e-3d739b1111fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d582a70-0baf-4417-857e-3d739b1111fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-638b0ba3-6ab9-410e-bdb0-9929feba0403' class='xr-var-data-in' type='checkbox'><label for='data-638b0ba3-6ab9-410e-bdb0-9929feba0403' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>description :</span></dt><dd>Air temperature at the lowest model level</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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+ " <th> Chunk </th>\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>TLP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-354e0778-da2f-45b8-a47f-ab6b3953ac75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-354e0778-da2f-45b8-a47f-ab6b3953ac75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca340d9e-13e4-4d55-9e1d-26ef0b5153f3' class='xr-var-data-in' type='checkbox'><label for='data-ca340d9e-13e4-4d55-9e1d-26ef0b5153f3' title='Show/Hide data repr'><svg 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>BASE STATE LAPSE RATE</dd><dt><span>long_name :</span></dt><dd>Base state lapse rate</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLP_STRAT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6982ef4-042e-463b-b3c1-d8685b90b898' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6982ef4-042e-463b-b3c1-d8685b90b898' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-783f580f-819e-48f3-88a2-8fe88837dc1e' class='xr-var-data-in' type='checkbox'><label for='data-783f580f-819e-48f3-88a2-8fe88837dc1e' title='Show/Hide data repr'><svg 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>BASE STATE LAPSE RATE (DT/D(LN(P)) IN STRATOSPHERE</dd><dt><span>long_name :</span></dt><dd>Base state lapse rate (DT/D(LN(P)) in stratosphere</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TRAD</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-45025fe9-3843-4db2-8499-9ae1a941acbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45025fe9-3843-4db2-8499-9ae1a941acbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09d0d24c-3937-4c59-952a-ce07feac0093' class='xr-var-data-in' type='checkbox'><label for='data-09d0d24c-3937-4c59-952a-ce07feac0093' title='Show/Hide data repr'><svg 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>surface radiative temperature</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface radiative 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",
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+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSNO</span></div><div class='xr-var-dims'>(time, snow_layers_stag, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 3, 350, 350), meta=np.ndarray></div><input id='attrs-cfe16c70-7d00-4942-a3a6-51142f71effe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfe16c70-7d00-4942-a3a6-51142f71effe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6aa53a42-b1d1-49e0-b80d-26fc91e72935' class='xr-var-data-in' type='checkbox'><label for='data-6aa53a42-b1d1-49e0-b80d-26fc91e72935' title='Show/Hide data repr'><svg 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>snow temperature</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Snow temperature</dd><dt><span>number_of_significant_digits :</span></dt><dd>5</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Bytes </th>\n",
+ " <td> 237.81 GiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \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> 79.33 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1368) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 chunks in 2 graph 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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+ " <th> Array </th>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V</span></div><div class='xr-var-dims'>(time, y_stag, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-fbc7c93a-daaa-45b5-b9c4-035dc5e26105' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbc7c93a-daaa-45b5-b9c4-035dc5e26105' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7c08298-6692-4e6f-a590-dfe2b50ddc49' class='xr-var-data-in' type='checkbox'><label for='data-c7c08298-6692-4e6f-a590-dfe2b50ddc49' title='Show/Hide data repr'><svg 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>y-wind component</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>V-component of wind with respect to model grid</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Chunk </th>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ " \n",
+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V10</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-e6472841-b576-4d32-9c1c-41fc9c853cc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6472841-b576-4d32-9c1c-41fc9c853cc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdf2e098-9de9-4b8b-a52f-2cb420768d9c' class='xr-var-data-in' type='checkbox'><label for='data-bdf2e098-9de9-4b8b-a52f-2cb420768d9c' title='Show/Hide data repr'><svg 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>V at 10 M</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>V-component of wind at 10 meters with respect to model grid</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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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
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+ " <tr>\n",
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+ " <th> Dask graph </th>\n",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VAR</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-d4f294f7-5098-4dcb-be6b-73802d2ef2e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4f294f7-5098-4dcb-be6b-73802d2ef2e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86a582b9-d66e-453d-b59e-c9e45caa9b64' class='xr-var-data-in' type='checkbox'><label for='data-86a582b9-d66e-453d-b59e-c9e45caa9b64' title='Show/Hide data repr'><svg 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>OROGRAPHIC VARIANCE</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Orographic variance</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",
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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> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph 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>VAR_SSO</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-4715d4ad-6446-413b-9f40-b34055acfbf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4715d4ad-6446-413b-9f40-b34055acfbf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e89d8be8-7164-4bbd-9122-857dd963f87c' class='xr-var-data-in' type='checkbox'><label for='data-e89d8be8-7164-4bbd-9122-857dd963f87c' title='Show/Hide data repr'><svg 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>variance of subgrid-scale orography</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Variance of subgrid-scale orography</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (1015, 1367) </td>\n",
+ " <td> (350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 12 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float32 numpy.ndarray </td>\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>XLAND</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(350, 350), meta=np.ndarray></div><input id='attrs-0815ba16-37b2-4cce-b016-f569c8ff0bef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0815ba16-37b2-4cce-b016-f569c8ff0bef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e314675e-b759-45da-9756-507a8692a022' class='xr-var-data-in' type='checkbox'><label for='data-e314675e-b759-45da-9756-507a8692a022' title='Show/Hide data repr'><svg 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>LAND MASK (1 FOR LAND, 2 FOR WATER)</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>flag_values :</span></dt><dd>1, 2</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Land mask (1 for land, 2 for water)</dd><dt><span>units :</span></dt><dd></dd><dt><span>valid_range :</span></dt><dd>1.0, 2.0</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 5.29 MiB </td>\n",
+ " <td> 478.52 kiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </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>ZETATOP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c42b70cd-8f27-44e4-8e55-03e73bdef358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c42b70cd-8f27-44e4-8e55-03e73bdef358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77463a68-01a2-47e2-96ae-2519722d5cc5' class='xr-var-data-in' type='checkbox'><label for='data-77463a68-01a2-47e2-96ae-2519722d5cc5' title='Show/Hide data repr'><svg 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>ZETA AT MODEL TOP</dd><dt><span>long_name :</span></dt><dd>ZETA at model top</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZNU</span></div><div class='xr-var-dims'>(bottom_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(50,), meta=np.ndarray></div><input id='attrs-c6ee5e3f-b816-4fff-946e-1344be67e7a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6ee5e3f-b816-4fff-946e-1344be67e7a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2539607e-843b-4f17-92a6-8aeed35a374c' class='xr-var-data-in' type='checkbox'><label for='data-2539607e-843b-4f17-92a6-8aeed35a374c' title='Show/Hide data repr'><svg 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>eta values on half (mass) levels</dd><dt><span>long_name :</span></dt><dd>Eta values on half (mass) levels</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> 200 B </td>\n",
+ " <td> 200 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (50,) </td>\n",
+ " <td> (50,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+ " </tbody>\n",
+ " </table>\n",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZNW</span></div><div class='xr-var-dims'>(bottom_top_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(51,), meta=np.ndarray></div><input id='attrs-a66db618-358b-45a3-8e2b-552bc412285b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a66db618-358b-45a3-8e2b-552bc412285b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef62000d-ab6d-4304-b9df-fb50d88597d8' class='xr-var-data-in' type='checkbox'><label for='data-ef62000d-ab6d-4304-b9df-fb50d88597d8' title='Show/Hide data repr'><svg 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>eta values on full (w) levels</dd><dt><span>long_name :</span></dt><dd>Eta values on full (w) levels</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",
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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 204 B </td>\n",
+ " <td> 204 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (51,) </td>\n",
+ " <td> (51,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph 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>ZS</span></div><div class='xr-var-dims'>(soil_layers_stag)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(4,), meta=np.ndarray></div><input id='attrs-da31ecf3-82ce-4d6a-924f-068e3446b74e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da31ecf3-82ce-4d6a-924f-068e3446b74e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8df16f55-f959-4f71-8307-f3a54516b804' class='xr-var-data-in' type='checkbox'><label for='data-8df16f55-f959-4f71-8307-f3a54516b804' title='Show/Hide data repr'><svg 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>DEPTHS OF CENTERS OF SOIL LAYERS</dd><dt><span>long_name :</span></dt><dd>Depths of centers of soil layers</dd><dt><span>units :</span></dt><dd>m</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> 16 B </td>\n",
+ " <td> 16 B </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (4,) </td>\n",
+ " <td> (4,) </td>\n",
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+ " <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",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZSNSO</span></div><div class='xr-var-dims'>(time, snso_layers_stag, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 7, 350, 350), meta=np.ndarray></div><input id='attrs-804b21d9-47e0-4d80-82d4-24ea8f741231' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-804b21d9-47e0-4d80-82d4-24ea8f741231' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a914bf4-bea0-4882-a6a2-80e580ac3312' class='xr-var-data-in' type='checkbox'><label for='data-6a914bf4-bea0-4882-a6a2-80e580ac3312' title='Show/Hide data repr'><svg 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>layer-bottom depth from snow surf</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Layer-bottom depth from snow surface</dd><dt><span>number_of_significant_digits :</span></dt><dd>5</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <td>\n",
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+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 554.89 GiB </td>\n",
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+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZWT</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(36, 350, 350), meta=np.ndarray></div><input id='attrs-64127890-d7a9-4cc0-b400-e1194e413e35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64127890-d7a9-4cc0-b400-e1194e413e35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6013c099-8e35-4e1a-96a6-cf5e5c84fe06' class='xr-var-data-in' type='checkbox'><label for='data-6013c099-8e35-4e1a-96a6-cf5e5c84fe06' title='Show/Hide data repr'><svg 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>water table depth</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Water table depth</dd><dt><span>number_of_significant_digits :</span></dt><dd>5</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 79.27 GiB </td>\n",
+ " <td> 16.82 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (15336, 1015, 1367) </td>\n",
+ " <td> (36, 350, 350) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 5112 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",
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+ "</table></div></li><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'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-522b3ce5-ad29-4079-a2dc-a3f2cbd4ac31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-522b3ce5-ad29-4079-a2dc-a3f2cbd4ac31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a997d58d-a58c-4c18-a7ef-c5efc5721f2c' class='xr-var-data-in' type='checkbox'><label for='data-a997d58d-a58c-4c18-a7ef-c5efc5721f2c' title='Show/Hide data repr'><svg 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>lambert_conformal_conic</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>39.100006103515625</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.0999984741211</dd><dt><span>semi_major_axis :</span></dt><dd>6370000.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6370000.0</dd><dt><span>standard_parallel :</span></dt><dd>[30.0, 50.0]</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bfa6e95c-1cab-49bd-811a-cde5e213b93b' class='xr-section-summary-in' type='checkbox' ><label for='section-bfa6e95c-1cab-49bd-811a-cde5e213b93b' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a795da0d-272e-467f-a955-4d8abe96e79a' class='xr-index-data-in' type='checkbox'/><label for='index-a795da0d-272e-467f-a955-4d8abe96e79a' 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(['1979-10-01', '1979-10-02', '1979-10-03', '1979-10-04',\n",
+ " '1979-10-05', '1979-10-06', '1979-10-07', '1979-10-08',\n",
+ " '1979-10-09', '1979-10-10',\n",
+ " ...\n",
+ " '2021-09-16', '2021-09-17', '2021-09-18', '2021-09-19',\n",
+ " '2021-09-20', '2021-09-21', '2021-09-22', '2021-09-23',\n",
+ " '2021-09-24', '2021-09-25'],\n",
+ " dtype='datetime64[ns]', name='time', length=15336, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6dc01c21-6c1d-469e-ba1a-1ad0c3715b5a' class='xr-index-data-in' type='checkbox'/><label for='index-6dc01c21-6c1d-469e-ba1a-1ad0c3715b5a' 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(Float64Index([-2732097.901153542, -2728097.901153542, -2724097.901153542,\n",
+ " -2720097.901153542, -2716097.901153542, -2712097.901153542,\n",
+ " -2708097.901153542, -2704097.901153542, -2700097.901153542,\n",
+ " -2696097.901153542,\n",
+ " ...\n",
+ " 2695902.098846458, 2699902.098846458, 2703902.098846458,\n",
+ " 2707902.098846458, 2711902.098846458, 2715902.098846458,\n",
+ " 2719902.098846458, 2723902.098846458, 2727902.098846458,\n",
+ " 2731902.098846458],\n",
+ " dtype='float64', name='x', length=1367))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7912c7b5-8a7d-45e7-9796-16aefcc272b2' class='xr-index-data-in' type='checkbox'/><label for='index-7912c7b5-8a7d-45e7-9796-16aefcc272b2' 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(Float64Index([-2027960.8996368449, -2023960.8996368449, -2019960.8996368449,\n",
+ " -2015960.8996368449, -2011960.8996368449, -2007960.8996368449,\n",
+ " -2003960.8996368449, -1999960.8996368449, -1995960.8996368449,\n",
+ " -1991960.8996368449,\n",
+ " ...\n",
+ " 1992039.1003631551, 1996039.1003631551, 2000039.1003631551,\n",
+ " 2004039.1003631551, 2008039.1003631551, 2012039.1003631551,\n",
+ " 2016039.1003631551, 2020039.1003631551, 2024039.1003631551,\n",
+ " 2028039.1003631551],\n",
+ " dtype='float64', name='y', length=1015))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d1dbcc18-2849-4a06-81bf-426820662659' class='xr-section-summary-in' type='checkbox' ><label for='section-d1dbcc18-2849-4a06-81bf-426820662659' class='xr-section-summary' >Attributes: <span>(148)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AER_ANGEXP_OPT :</span></dt><dd>1</dd><dt><span>AER_ANGEXP_VAL :</span></dt><dd>1.2999999523162842</dd><dt><span>AER_AOD550_OPT :</span></dt><dd>1</dd><dt><span>AER_AOD550_VAL :</span></dt><dd>0.11999999731779099</dd><dt><span>AER_ASY_OPT :</span></dt><dd>1</dd><dt><span>AER_ASY_VAL :</span></dt><dd>0.8999999761581421</dd><dt><span>AER_OPT :</span></dt><dd>1</dd><dt><span>AER_SSA_OPT :</span></dt><dd>1</dd><dt><span>AER_SSA_VAL :</span></dt><dd>0.8500000238418579</dd><dt><span>AER_TYPE :</span></dt><dd>1</dd><dt><span>BLDT :</span></dt><dd>0.0</dd><dt><span>BL_PBL_PHYSICS :</span></dt><dd>1</dd><dt><span>BOTTOM-TOP_GRID_DIMENSION :</span></dt><dd>51</dd><dt><span>BOTTOM-TOP_PATCH_END_STAG :</span></dt><dd>51</dd><dt><span>BOTTOM-TOP_PATCH_END_UNSTAG :</span></dt><dd>50</dd><dt><span>BOTTOM-TOP_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>BOTTOM-TOP_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>BUCKET_J :</span></dt><dd>1000000000.0</dd><dt><span>BUCKET_MM :</span></dt><dd>100.0</dd><dt><span>CEN_LAT :</span></dt><dd>39.100006103515625</dd><dt><span>CEN_LON :</span></dt><dd>-97.89999389648438</dd><dt><span>CUDT :</span></dt><dd>5.0</dd><dt><span>CU_PHYSICS :</span></dt><dd>0</dd><dt><span>Contacts :</span></dt><dd>CHANGHAI LIU (chliu@ucar.edu), KYOKO IKEDA (kyoko@ucar.edu)</dd><dt><span>DAMPCOEF :</span></dt><dd>0.20000000298023224</dd><dt><span>DAMP_OPT :</span></dt><dd>3</dd><dt><span>DFI_OPT :</span></dt><dd>0</dd><dt><span>DIFF_6TH_FACTOR :</span></dt><dd>0.11999999731779099</dd><dt><span>DIFF_6TH_OPT :</span></dt><dd>0</dd><dt><span>DIFF_OPT :</span></dt><dd>2</dd><dt><span>DT :</span></dt><dd>20.0</dd><dt><span>DTRAMP_MIN :</span></dt><dd>60.0</dd><dt><span>DVEG :</span></dt><dd>9</dd><dt><span>DX :</span></dt><dd>4000.0</dd><dt><span>DY :</span></dt><dd>4000.0</dd><dt><span>Division :</span></dt><dd>NCAR/RAL/HAP</dd><dt><span>ETAC :</span></dt><dd>0.0</dd><dt><span>FEEDBACK :</span></dt><dd>1</dd><dt><span>FGDT :</span></dt><dd>2.0</dd><dt><span>FileGenerated :</span></dt><dd>20210204</dd><dt><span>GFDDA_END_H :</span></dt><dd>999999</dd><dt><span>GFDDA_INTERVAL_M :</span></dt><dd>180</dd><dt><span>GMT :</span></dt><dd>0.0</dd><dt><span>GPH :</span></dt><dd>4.999999873689376e-05</dd><dt><span>GRAV_SETTLING :</span></dt><dd>0</dd><dt><span>GRIDTYPE :</span></dt><dd>C</dd><dt><span>GRID_FDDA :</span></dt><dd>2</dd><dt><span>GRID_ID :</span></dt><dd>1</dd><dt><span>GRID_SFDDA :</span></dt><dd>0</dd><dt><span>GT :</span></dt><dd>4.999999873689376e-05</dd><dt><span>GUV :</span></dt><dd>4.999999873689376e-05</dd><dt><span>GWD_OPT :</span></dt><dd>0</dd><dt><span>HYBRID_OPT :</span></dt><dd>-1</dd><dt><span>HYPSOMETRIC_OPT :</span></dt><dd>2</dd><dt><span>ICLOUD :</span></dt><dd>1</dd><dt><span>ICLOUD_CU :</span></dt><dd>0</dd><dt><span>IF_RAMPING :</span></dt><dd>1</dd><dt><span>ISFFLX :</span></dt><dd>1</dd><dt><span>ISFTCFLX :</span></dt><dd>0</dd><dt><span>ISHALLOW :</span></dt><dd>0</dd><dt><span>ISICE :</span></dt><dd>15</dd><dt><span>ISLAKE :</span></dt><dd>21</dd><dt><span>ISOILWATER :</span></dt><dd>14</dd><dt><span>ISURBAN :</span></dt><dd>13</dd><dt><span>ISWATER :</span></dt><dd>17</dd><dt><span>I_PARENT_START :</span></dt><dd>1</dd><dt><span>JULDAY :</span></dt><dd>274</dd><dt><span>JULYR :</span></dt><dd>1979</dd><dt><span>J_PARENT_START :</span></dt><dd>1</dd><dt><span>KHDIF :</span></dt><dd>0.0</dd><dt><span>KM_OPT :</span></dt><dd>4</dd><dt><span>KVDIF :</span></dt><dd>0.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>MAP_PROJ_CHAR :</span></dt><dd>Lambert Conformal</dd><dt><span>MFSHCONV :</span></dt><dd>0</dd><dt><span>MMINLU :</span></dt><dd>MODIFIED_IGBP_MODIS_NOAH</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.100006103515625</dd><dt><span>MOIST_ADV_OPT :</span></dt><dd>1</dd><dt><span>MP_PHYSICS :</span></dt><dd>8</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.9.5 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>NUM_LAND_CAT :</span></dt><dd>21</dd><dt><span>OBS_NUDGE_OPT :</span></dt><dd>0</dd><dt><span>OPT_ALB :</span></dt><dd>2</dd><dt><span>OPT_BTR :</span></dt><dd>2</dd><dt><span>OPT_CRS :</span></dt><dd>1</dd><dt><span>OPT_FRZ :</span></dt><dd>1</dd><dt><span>OPT_GLA :</span></dt><dd>1</dd><dt><span>OPT_INF :</span></dt><dd>1</dd><dt><span>OPT_RAD :</span></dt><dd>3</dd><dt><span>OPT_RSF :</span></dt><dd>1</dd><dt><span>OPT_RUN :</span></dt><dd>5</dd><dt><span>OPT_SFC :</span></dt><dd>1</dd><dt><span>OPT_SNF :</span></dt><dd>4</dd><dt><span>OPT_STC :</span></dt><dd>3</dd><dt><span>OPT_TBOT :</span></dt><dd>1</dd><dt><span>PARENT_GRID_RATIO :</span></dt><dd>1</dd><dt><span>PARENT_ID :</span></dt><dd>0</dd><dt><span>POLE_LAT :</span></dt><dd>90.0</dd><dt><span>POLE_LON :</span></dt><dd>0.0</dd><dt><span>PREC_ACC_DT :</span></dt><dd>60.0</dd><dt><span>Project :</span></dt><dd>USGS CONUS404</dd><dt><span>RADT :</span></dt><dd>5.0</dd><dt><span>RA_LW_PHYSICS :</span></dt><dd>4</dd><dt><span>RA_SW_PHYSICS :</span></dt><dd>4</dd><dt><span>SCALAR_ADV_OPT :</span></dt><dd>1</dd><dt><span>SCALAR_PBLMIX :</span></dt><dd>0</dd><dt><span>SF_LAKE_PHYSICS :</span></dt><dd>0</dd><dt><span>SF_OCEAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SF_SFCLAY_PHYSICS :</span></dt><dd>1</dd><dt><span>SF_SURFACE_PHYSICS :</span></dt><dd>4</dd><dt><span>SF_URBAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SGFDDA_END_H :</span></dt><dd>0</dd><dt><span>SGFDDA_INTERVAL_M :</span></dt><dd>0</dd><dt><span>SHCU_PHYSICS :</span></dt><dd>0</dd><dt><span>SIMULATION_INITIALIZATION_TYPE :</span></dt><dd>REAL-DATA CASE</dd><dt><span>SIMULATION_START_DATE :</span></dt><dd>1979-10-01_00:00:00</dd><dt><span>SKEBS_ON :</span></dt><dd>0</dd><dt><span>SMOOTH_OPTION :</span></dt><dd>2</dd><dt><span>SOUTH-NORTH_GRID_DIMENSION :</span></dt><dd>1016</dd><dt><span>SOUTH-NORTH_PATCH_END_STAG :</span></dt><dd>1016</dd><dt><span>SOUTH-NORTH_PATCH_END_UNSTAG :</span></dt><dd>1015</dd><dt><span>SOUTH-NORTH_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>SOUTH-NORTH_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>SPEC_BDY_FINAL_MU :</span></dt><dd>1</dd><dt><span>SST_UPDATE :</span></dt><dd>1</dd><dt><span>STAND_LON :</span></dt><dd>-97.9000015258789</dd><dt><span>START_DATE :</span></dt><dd>1979-10-01_00:00:00</dd><dt><span>SURFACE_INPUT_SOURCE :</span></dt><dd>1</dd><dt><span>SWINT_OPT :</span></dt><dd>0</dd><dt><span>SWRAD_SCAT :</span></dt><dd>1.0</dd><dt><span>Source_Code :</span></dt><dd>make_conusii_2d.csh</dd><dt><span>TITLE :</span></dt><dd> OUTPUT FROM WRF V3.9.1.1 MODEL</dd><dt><span>TKE_ADV_OPT :</span></dt><dd>1</dd><dt><span>TOPO_WIND :</span></dt><dd>1</dd><dt><span>TRACER_PBLMIX :</span></dt><dd>1</dd><dt><span>TRUELAT1 :</span></dt><dd>30.0</dd><dt><span>TRUELAT2 :</span></dt><dd>50.0</dd><dt><span>USE_Q_DIABATIC :</span></dt><dd>0</dd><dt><span>USE_THETA_M :</span></dt><dd>0</dd><dt><span>WEST-EAST_GRID_DIMENSION :</span></dt><dd>1368</dd><dt><span>WEST-EAST_PATCH_END_STAG :</span></dt><dd>1368</dd><dt><span>WEST-EAST_PATCH_END_UNSTAG :</span></dt><dd>1367</dd><dt><span>WEST-EAST_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>WEST-EAST_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>W_DAMPING :</span></dt><dd>1</dd><dt><span>YSU_TOPDOWN_PBLMIX :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>Tue Mar 29 16:35:22 2022: ncrcat -A -vW /glade/scratch/kyoko/USGS/conus404_production_outputs/GHT/WY1980/CONUS404_W_d01_1979-10-01_00:00:00.nc /glade/scratch/kyoko/USGS/conus404_production_outputs/OUTPUT/WY1980/wrf2d_d01_1979-10-01_00:00:00\n",
+ "Tue Mar 29 16:35:21 2022: ncrcat -A -vZ /glade/scratch/kyoko/USGS/conus404_production_outputs/GHT/WY1980/CONUS404_Z_d01_1979-10-01_00:00:00.nc /glade/scratch/kyoko/USGS/conus404_production_outputs/OUTPUT/WY1980/wrf2d_d01_1979-10-01_00:00:00</dd><dt><span>history_of_appended_files :</span></dt><dd>Tue Mar 29 16:35:22 2022: Appended file /glade/scratch/kyoko/USGS/conus404_production_outputs/GHT/WY1980/CONUS404_W_d01_1979-10-01_00:00:00.nc had no "history" attribute\n",
+ "Tue Mar 29 16:35:21 2022: Appended file /glade/scratch/kyoko/USGS/conus404_production_outputs/GHT/WY1980/CONUS404_Z_d01_1979-10-01_00:00:00.nc had no "history" attribute\n",
+ "</dd></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (time: 15336, y: 1015, x: 1367, bottom_top_stag: 51,\n",
+ " bottom_top: 50, soil_layers_stag: 4, x_stag: 1368,\n",
+ " y_stag: 1016, snow_layers_stag: 3, snso_layers_stag: 7)\n",
+ "Coordinates:\n",
+ " lat (y, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lat_u (y, x_stag) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lat_v (y_stag, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lon (y, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lon_u (y, x_stag) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " lon_v (y_stag, x) float32 dask.array<chunksize=(350, 350), meta=np.ndarray>\n",
+ " * time (time) datetime64[ns] 1979-10-01 1979-10-02 ... 2021-09-25\n",
+ " * x (x) float64 -2.732e+06 -2.728e+06 ... 2.728e+06 2.732e+06\n",
+ " * y (y) float64 -2.028e+06 -2.024e+06 ... 2.024e+06 2.028e+06\n",
+ "Dimensions without coordinates: bottom_top_stag, bottom_top, soil_layers_stag,\n",
+ " x_stag, y_stag, snow_layers_stag,\n",
+ " snso_layers_stag\n",
+ "Data variables: (12/157)\n",
+ " ACDEWC (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACDRIPR (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACDRIPS (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACECAN (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACEDIR (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ACETLSM (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " ... ...\n",
+ " ZNU (bottom_top) float32 dask.array<chunksize=(50,), meta=np.ndarray>\n",
+ " ZNW (bottom_top_stag) float32 dask.array<chunksize=(51,), meta=np.ndarray>\n",
+ " ZS (soil_layers_stag) float32 dask.array<chunksize=(4,), meta=np.ndarray>\n",
+ " ZSNSO (time, snso_layers_stag, y, x) float32 dask.array<chunksize=(36, 7, 350, 350), meta=np.ndarray>\n",
+ " ZWT (time, y, x) float32 dask.array<chunksize=(36, 350, 350), meta=np.ndarray>\n",
+ " crs int32 ...\n",
+ "Attributes: (12/148)\n",
+ " AER_ANGEXP_OPT: 1\n",
+ " AER_ANGEXP_VAL: 1.2999999523162842\n",
+ " AER_AOD550_OPT: 1\n",
+ " AER_AOD550_VAL: 0.11999999731779099\n",
+ " AER_ASY_OPT: 1\n",
+ " AER_ASY_VAL: 0.8999999761581421\n",
+ " ... ...\n",
+ " WEST-EAST_PATCH_START_STAG: 1\n",
+ " WEST-EAST_PATCH_START_UNSTAG: 1\n",
+ " W_DAMPING: 1\n",
+ " YSU_TOPDOWN_PBLMIX: 0\n",
+ " history: Tue Mar 29 16:35:22 2022: ncrcat -A -vW ...\n",
+ " history_of_appended_files: Tue Mar 29 16:35:22 2022: Appended file ..."
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# open and view zarr dataset\n",
"fs2 = fsspec.filesystem('s3', anon=True, endpoint_url='https://usgs.osn.mghpcc.org/')\n",
@@ -135,12 +15699,41 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"id": "ab91268f-7200-4cb1-979a-c7d75531d2c0",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "name of X dimension: x\n",
+ "\n",
+ "name of Y dimension: y\n",
+ "\n",
+ "Could not auto-extract T dimension name.\n",
+ "Look at the xarray output above showing the dataset dimensions.\n"
+ ]
+ },
+ {
+ "name": "stdin",
+ "output_type": "stream",
+ "text": [
+ "What is the name of the T dimension of this dataset? time\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "name of T dimension: time\n",
+ "\n",
+ "Dimension dictionary: {'X': 'x', 'Y': 'y', 'T': 'time'}\n"
+ ]
+ }
+ ],
"source": [
"dims_auto_extract = ['X', 'Y', 'T']\n",
"def extract_dim(ds, d):\n",
@@ -172,12 +15765,104 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"id": "4eb4d027-4266-4a0b-8f16-bacfbef06242",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {},
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.holoviews_exec.v0+json": "",
+ "text/html": [
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+ " var render_items = [{\"docid\":\"f9e7d522-f2c0-477a-8eb0-1000c1ae75ec\",\"roots\":{\"p1007\":\"f538c602-d1e8-47fe-af2c-a5e0a11380a7\"},\"root_ids\":[\"p1007\"]}];\n",
+ " var docs = Object.values(docs_json)\n",
+ " if (!docs) {\n",
+ " return\n",
+ " }\n",
+ " const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+ " const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
+ " function embed_document(root) {\n",
+ " var Bokeh = get_bokeh(root)\n",
+ " Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ " for (const render_item of render_items) {\n",
+ " for (const root_id of render_item.root_ids) {\n",
+ "\tconst id_el = document.getElementById(root_id)\n",
+ "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+ "\t const root_el = id_el.children[0]\n",
+ "\t root_el.id = root_el.id + '-rendered'\n",
+ "\t}\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " function get_bokeh(root) {\n",
+ " if (root.Bokeh === undefined) {\n",
+ " return null\n",
+ " } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
+ " if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+ "\treturn null\n",
+ " }\n",
+ " return root.Bokeh.versions.get(py_version);\n",
+ " } else if (root.Bokeh.version === py_version) {\n",
+ " return root.Bokeh\n",
+ " }\n",
+ " return null\n",
+ " }\n",
+ " function is_loaded(root) {\n",
+ " var Bokeh = get_bokeh(root)\n",
+ " return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+ " }\n",
+ " if (is_loaded(root)) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (is_loaded(root)) {\n",
+ " clearInterval(timer);\n",
+ " embed_document(root);\n",
+ " } else if (document.readyState == \"complete\") {\n",
+ " attempts++;\n",
+ " if (attempts > 200) {\n",
+ " clearInterval(timer);\n",
+ "\t var Bokeh = get_bokeh(root)\n",
+ "\t if (Bokeh == null || Bokeh.Panel == null) {\n",
+ " console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+ "\t } else {\n",
+ "\t console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+ "\t embed_document(root)\n",
+ "\t }\n",
+ " }\n",
+ " }\n",
+ " }, 25, root)\n",
+ " }\n",
+ "})(window);</script>"
+ ],
+ "text/plain": [
+ ":DynamicMap []\n",
+ " :Overlay\n",
+ " .WMTS.I :WMTS [Longitude,Latitude]\n",
+ " .Image.I :Image [lon,lat] (SNOW)"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p1007"
+ }
+ },
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# plot a map of a single variable\n",
"var_to_plot = 'SNOW'\n",
@@ -197,12 +15882,101 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 7,
"id": "c7de2681-88c2-4597-857c-8f169c596f8b",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {},
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.holoviews_exec.v0+json": "",
+ "text/html": [
+ "<div id='p1104'>\n",
+ " <div id=\"c18ce829-1445-423c-a889-cc73294f856a\" data-root-id=\"p1104\" style=\"display: contents;\"></div>\n",
+ "</div>\n",
+ "<script type=\"application/javascript\">(function(root) {\n",
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400px));\\n}\",{\"id\":\"p1107\"},{\"id\":\"p1105\"},{\"id\":\"p1106\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"toggle_value1\",\"properties\":[{\"name\":\"active_icons\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"options\",\"kind\":\"Any\",\"default\":{\"type\":\"map\",\"entries\":[[\"favorite\",\"heart\"]]}},{\"name\":\"value\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_reactions\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_base_url\",\"kind\":\"Any\",\"default\":\"https://tabler-icons.io/static/tabler-icons/icons/\"}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"value\",\"kind\":\"Any\",\"default\":null},{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
+ " var render_items = [{\"docid\":\"2e4ff93d-59ab-4a1e-8b20-f89bf64de616\",\"roots\":{\"p1104\":\"c18ce829-1445-423c-a889-cc73294f856a\"},\"root_ids\":[\"p1104\"]}];\n",
+ " var docs = Object.values(docs_json)\n",
+ " if (!docs) {\n",
+ " return\n",
+ " }\n",
+ " const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+ " const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
+ " function embed_document(root) {\n",
+ " var Bokeh = get_bokeh(root)\n",
+ " Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ " for (const render_item of render_items) {\n",
+ " for (const root_id of render_item.root_ids) {\n",
+ "\tconst id_el = document.getElementById(root_id)\n",
+ "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+ "\t const root_el = id_el.children[0]\n",
+ "\t root_el.id = root_el.id + '-rendered'\n",
+ "\t}\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " function get_bokeh(root) {\n",
+ " if (root.Bokeh === undefined) {\n",
+ " return null\n",
+ " } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
+ " if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+ "\treturn null\n",
+ " }\n",
+ " return root.Bokeh.versions.get(py_version);\n",
+ " } else if (root.Bokeh.version === py_version) {\n",
+ " return root.Bokeh\n",
+ " }\n",
+ " return null\n",
+ " }\n",
+ " function is_loaded(root) {\n",
+ " var Bokeh = get_bokeh(root)\n",
+ " return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+ " }\n",
+ " if (is_loaded(root)) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (is_loaded(root)) {\n",
+ " clearInterval(timer);\n",
+ " embed_document(root);\n",
+ " } else if (document.readyState == \"complete\") {\n",
+ " attempts++;\n",
+ " if (attempts > 200) {\n",
+ " clearInterval(timer);\n",
+ "\t var Bokeh = get_bokeh(root)\n",
+ "\t if (Bokeh == null || Bokeh.Panel == null) {\n",
+ " console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+ "\t } else {\n",
+ "\t console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+ "\t embed_document(root)\n",
+ "\t }\n",
+ " }\n",
+ " }\n",
+ " }, 25, root)\n",
+ " }\n",
+ "})(window);</script>"
+ ],
+ "text/plain": [
+ ":Curve [time] (SNOW)"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p1104"
+ }
+ },
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# enter lat, lon of point you want to plot time series for\n",
"lat,lon = 39.978322,-105.2772194\n",
@@ -233,12 +16007,21 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 8,
"id": "d46805e0-8e94-4ebe-aa01-d9a2d7051459",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[-138.73135375976562, 17.647308349609375, -57.068634033203125, 57.34341812133789]\n",
+ "{'type': 'Polygon', 'coordinates': (((-138.73135375976562, 17.647308349609375), (-138.73135375976562, 57.34341812133789), (-57.068634033203125, 57.34341812133789), (-57.068634033203125, 17.647308349609375), (-138.73135375976562, 17.647308349609375)),)}\n"
+ ]
+ }
+ ],
"source": [
"# pull out lat/lon bbox for data\n",
"# coordiantes must be from WGS 84 datum\n",
@@ -246,7 +16029,7 @@
"# Note: I'm not sure why but half the time you need to run .compute() to get the value and the other half\n",
"# you shouldn't - I've included both options below - switch the commented line if you have this issue\n",
"#coord_bounds = [ds.lon.data.min().compute().astype(float), ds.lat.data.min().compute().astype(float), ds.lon.data.max().compute().astype(float), ds.lat.data.max().compute().astype(float)]\n",
- "coord_bounds = [ds.lon.data.min().astype(float), ds.lat.data.min().astype(float), ds.lon.data.max().astype(float), ds.lat.data.max().astype(float)]\n",
+ "coord_bounds = [ds.lon.data.min().astype(float).item(), ds.lat.data.min().astype(float).item(), ds.lon.data.max().astype(float).item(), ds.lat.data.max().astype(float).item()]\n",
"print(coord_bounds)\n",
"# create a geometry object \n",
"footprint = mapping(Polygon([\n",
@@ -268,12 +16051,21 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 9,
"id": "41a84995-867c-4152-8c57-85e3758bbb77",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "min: 1979-10-01 00:00:00 \n",
+ "max: 2021-09-25 00:00:00\n"
+ ]
+ }
+ ],
"source": [
"# pull out first and last timestamps\n",
"temporal_extent_lower = pd.Timestamp(ds[dim_names_dict['T']].data.min())\n",
@@ -291,12 +16083,20 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 10,
"id": "7e96811b-95ae-406a-9728-55fc429d4e1f",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "new item created\n"
+ ]
+ }
+ ],
"source": [
"if next(catalog.get_items(item_id), None):\n",
" item = next(catalog.get_items(item_id), None)()\n",
@@ -320,7 +16120,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 11,
"id": "094832af-d22b-4359-b0f6-cf687acce5cc",
"metadata": {},
"outputs": [],
@@ -344,7 +16144,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 12,
"id": "fc00946d-2880-491d-9b3b-3aeeb4414d6c",
"metadata": {},
"outputs": [],
@@ -363,10 +16163,18 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 13,
"id": "120a4914-3302-44a5-a282-0308ac84f040",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['y', 'x', 'time', 'bottom_top_stag', 'bottom_top', 'soil_layers_stag', 'x_stag', 'y_stag', 'snow_layers_stag', 'snso_layers_stag']\n"
+ ]
+ }
+ ],
"source": [
"# list out dataset dimensions\n",
"# When writing data to Zarr, Xarray sets this attribute on all variables based on the variable dimensions. When reading a Zarr group, Xarray looks for this attribute on all arrays,\n",
@@ -377,10 +16185,18 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 14,
"id": "00a18a29-fb9a-4b56-8009-493122997b16",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[-2732097.901153542, -2027960.8996368449, 2731902.098846458, 2028039.1003631551]\n"
+ ]
+ }
+ ],
"source": [
"# get x, y bounds for extent of those dimensions (required)\n",
"xy_bounds = [ds[dim_names_dict['X']].data.min().astype(float), ds[dim_names_dict['Y']].data.min().astype(float), ds[dim_names_dict['X']].data.max().astype(float), ds[dim_names_dict['Y']].data.max().astype(float)]\n",
@@ -389,7 +16205,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 15,
"id": "0f49d6d7-9e30-4144-909b-fa1238e6c77a",
"metadata": {},
"outputs": [],
@@ -401,7 +16217,7 @@
" # set step - if all steps are the same length\n",
" # datacube spec specifies to use null for irregularly spaced steps\n",
" if len(unique_steps)==1:\n",
- " step = unique_steps[0]\n",
+ " step = unique_steps[0].astype(float).item()\n",
" else:\n",
" step = None\n",
" return(step)"
@@ -409,7 +16225,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 16,
"id": "a20d12bf-a511-4c5e-84d0-77e2ec551518",
"metadata": {},
"outputs": [],
@@ -435,10 +16251,28 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 17,
"id": "ea452f62-5644-49b6-8a4e-7dc4f649fd1a",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "<xarray.DataArray 'crs' ()>\n",
+ "[1 values with dtype=int32]\n",
+ "Coordinates:\n",
+ " metpy_crs object Projection: lambert_conformal_conic\n",
+ "Attributes:\n",
+ " grid_mapping_name: lambert_conformal_conic\n",
+ " latitude_of_projection_origin: 39.100006103515625\n",
+ " longitude_of_central_meridian: 262.0999984741211\n",
+ " semi_major_axis: 6370000.0\n",
+ " semi_minor_axis: 6370000.0\n",
+ " standard_parallel: [30.0, 50.0]\n"
+ ]
+ }
+ ],
"source": [
"# print ot crs information in dataset\n",
"crs_info = ds.crs\n",
@@ -447,7 +16281,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 18,
"id": "1b1d05ff-8e43-44a7-8343-178b112c4ad6",
"metadata": {},
"outputs": [],
@@ -474,7 +16308,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 19,
"id": "5a443497-67a9-4dce-a8e9-b08d31a88223",
"metadata": {},
"outputs": [],
@@ -506,7 +16340,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 20,
"id": "92510876-7853-4d24-8563-c69f9012aeb6",
"metadata": {},
"outputs": [],
@@ -543,10 +16377,29 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 21,
"id": "e9272931-fc0b-4f2a-9546-283033e9cde8",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "ename": "KeyError",
+ "evalue": "'metpy_crs'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
+ "File \u001b[0;32m/home/conda/global/921697d3194ef1c1e8f5999c44feedb99f680790b1179c6ae97732050d1e6720-20231102-224441-639015-17-pangeo/lib/python3.10/site-packages/xarray/core/dataset.py:1340\u001b[0m, in \u001b[0;36mDataset._construct_dataarray\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 1339\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1340\u001b[0m variable \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_variables\u001b[49m\u001b[43m[\u001b[49m\u001b[43mname\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 1341\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n",
+ "\u001b[0;31mKeyError\u001b[0m: 'metpy_crs'",
+ "\nDuring handling of the above exception, another exception occurred:\n",
+ "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[21], line 23\u001b[0m\n\u001b[1;32m 21\u001b[0m var_type \u001b[38;5;241m=\u001b[39m get_var_type(ds, v)\n\u001b[1;32m 22\u001b[0m long_name \u001b[38;5;241m=\u001b[39m get_long_name(ds, v)\n\u001b[0;32m---> 23\u001b[0m vars_dict[v] \u001b[38;5;241m=\u001b[39m pystac\u001b[38;5;241m.\u001b[39mextensions\u001b[38;5;241m.\u001b[39mdatacube\u001b[38;5;241m.\u001b[39mVariable({\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdimensions\u001b[39m\u001b[38;5;124m'\u001b[39m:\u001b[38;5;28mlist\u001b[39m(\u001b[43mds\u001b[49m\u001b[43m[\u001b[49m\u001b[43mv\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mdims), \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtype\u001b[39m\u001b[38;5;124m'\u001b[39m: var_type, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdescription\u001b[39m\u001b[38;5;124m'\u001b[39m: long_name, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124munit\u001b[39m\u001b[38;5;124m'\u001b[39m: unit})\n",
+ "File \u001b[0;32m/home/conda/global/921697d3194ef1c1e8f5999c44feedb99f680790b1179c6ae97732050d1e6720-20231102-224441-639015-17-pangeo/lib/python3.10/site-packages/xarray/core/dataset.py:1431\u001b[0m, in \u001b[0;36mDataset.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1429\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39misel(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkey)\n\u001b[1;32m 1430\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m utils\u001b[38;5;241m.\u001b[39mhashable(key):\n\u001b[0;32m-> 1431\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_construct_dataarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1432\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m utils\u001b[38;5;241m.\u001b[39miterable_of_hashable(key):\n\u001b[1;32m 1433\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_copy_listed(key)\n",
+ "File \u001b[0;32m/home/conda/global/921697d3194ef1c1e8f5999c44feedb99f680790b1179c6ae97732050d1e6720-20231102-224441-639015-17-pangeo/lib/python3.10/site-packages/xarray/core/dataset.py:1342\u001b[0m, in \u001b[0;36mDataset._construct_dataarray\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 1340\u001b[0m variable \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_variables[name]\n\u001b[1;32m 1341\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n\u001b[0;32m-> 1342\u001b[0m _, name, variable \u001b[38;5;241m=\u001b[39m \u001b[43m_get_virtual_variable\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_variables\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdims\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1344\u001b[0m needed_dims \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(variable\u001b[38;5;241m.\u001b[39mdims)\n\u001b[1;32m 1346\u001b[0m coords: \u001b[38;5;28mdict\u001b[39m[Hashable, Variable] \u001b[38;5;241m=\u001b[39m {}\n",
+ "File \u001b[0;32m/home/conda/global/921697d3194ef1c1e8f5999c44feedb99f680790b1179c6ae97732050d1e6720-20231102-224441-639015-17-pangeo/lib/python3.10/site-packages/xarray/core/dataset.py:178\u001b[0m, in \u001b[0;36m_get_virtual_variable\u001b[0;34m(variables, key, dim_sizes)\u001b[0m\n\u001b[1;32m 176\u001b[0m split_key \u001b[38;5;241m=\u001b[39m key\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 177\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(split_key) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[0;32m--> 178\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key)\n\u001b[1;32m 180\u001b[0m ref_name, var_name \u001b[38;5;241m=\u001b[39m split_key\n\u001b[1;32m 181\u001b[0m ref_var \u001b[38;5;241m=\u001b[39m variables[ref_name]\n",
+ "\u001b[0;31mKeyError\u001b[0m: 'metpy_crs'"
+ ]
+ }
+ ],
"source": [
"# pull list of vars from dataset\n",
"vars = list(ds.variables)\n",
@@ -603,18 +16456,31 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "161949f9-e839-4497-8314-cab8a3871669",
+ "id": "3cd21f72-1966-4bb1-bbe6-9ce6eb4b3c29",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
- "json.dumps(item.to_dict())"
+ "# # helper to find items of wrong type\n",
+ "# d = item.to_dict()\n",
+ "# def find_paths(nested_dict, prepath=()):\n",
+ "# for k, v in nested_dict.items():\n",
+ "# try:\n",
+ "# path = prepath + (k,)\n",
+ "# if type(v) is np.float64: # found value\n",
+ "# yield path\n",
+ "# elif hasattr(v, 'items'): # v is a dict\n",
+ "# yield from find_paths(v, path) \n",
+ "# except:\n",
+ "# print(prepath)\n",
+ "\n",
+ "# print(*find_paths(d))"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 23,
"id": "4b75791b-6b2d-40be-b7c6-330a60888fb5",
"metadata": {},
"outputs": [],
@@ -629,14 +16495,6 @@
" catalog.save(catalog_type=pystac.CatalogType.SELF_CONTAINED)\n",
" #catalog.normalize_and_save(root_href=catalog_path, catalog_type=pystac.CatalogType.SELF_CONTAINED)"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "ca08bfcb-53c3-4573-bece-408da8964302",
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {