From 9e224918cd737788c81c0ab11bbc48b735e90560 Mon Sep 17 00:00:00 2001
From: amsnyder <asnyder@usgs.gov>
Date: Mon, 8 Apr 2024 12:26:58 -0500
Subject: [PATCH] update crs pull and spatial extent

---
 .../collection.json                           |  10 +-
 .../collection.json                           |  10 +-
 catalog/Red_River_future/collection.json      |  10 +-
 catalog/Red_River_historical/collection.json  |  10 +-
 ...R_future_create_collection_from_zarr.ipynb | 139 +++++++++++++-----
 ...storical_create_collection_from_zarr.ipynb | 139 +++++++++++++-----
 ...r_future_create_collection_from_zarr.ipynb | 139 +++++++++++++-----
 ...storical_create_collection_from_zarr.ipynb | 139 +++++++++++++-----
 8 files changed, 436 insertions(+), 160 deletions(-)

diff --git a/catalog/Red_River_MPI-ESM-LR_future/collection.json b/catalog/Red_River_MPI-ESM-LR_future/collection.json
index 9efdaea1..b70203ae 100644
--- a/catalog/Red_River_MPI-ESM-LR_future/collection.json
+++ b/catalog/Red_River_MPI-ESM-LR_future/collection.json
@@ -37,7 +37,7 @@
         269.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "lat": {
       "type": "spatial",
@@ -48,7 +48,7 @@
         39.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "bnds": {
       "type": "count",
@@ -62,7 +62,7 @@
   "cube:variables": {
     "crs": {
       "dimensions": [],
-      "type": "auxiliary",
+      "type": "data",
       "description": null,
       "unit": null
     },
@@ -638,9 +638,9 @@
     "spatial": {
       "bbox": [
         [
-          251.05,
+          -108.94999999999999,
           26.05,
-          269.95,
+          -90.05,
           39.95
         ]
       ]
diff --git a/catalog/Red_River_MPI-ESM-LR_historical/collection.json b/catalog/Red_River_MPI-ESM-LR_historical/collection.json
index c3bafb1b..d62d21f0 100644
--- a/catalog/Red_River_MPI-ESM-LR_historical/collection.json
+++ b/catalog/Red_River_MPI-ESM-LR_historical/collection.json
@@ -37,7 +37,7 @@
         269.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "lat": {
       "type": "spatial",
@@ -48,7 +48,7 @@
         39.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "bnds": {
       "type": "count",
@@ -62,7 +62,7 @@
   "cube:variables": {
     "crs": {
       "dimensions": [],
-      "type": "auxiliary",
+      "type": "data",
       "description": null,
       "unit": null
     },
@@ -278,9 +278,9 @@
     "spatial": {
       "bbox": [
         [
-          251.05,
+          -108.94999999999999,
           26.05,
-          269.95,
+          -90.05,
           39.95
         ]
       ]
diff --git a/catalog/Red_River_future/collection.json b/catalog/Red_River_future/collection.json
index eb35533c..9c4e0318 100644
--- a/catalog/Red_River_future/collection.json
+++ b/catalog/Red_River_future/collection.json
@@ -37,7 +37,7 @@
         269.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "lat": {
       "type": "spatial",
@@ -48,7 +48,7 @@
         39.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "bnds": {
       "type": "count",
@@ -62,7 +62,7 @@
   "cube:variables": {
     "crs": {
       "dimensions": [],
-      "type": "auxiliary",
+      "type": "data",
       "description": null,
       "unit": null
     },
@@ -1168,9 +1168,9 @@
     "spatial": {
       "bbox": [
         [
-          251.05,
+          -108.94999999999999,
           26.05,
-          269.95,
+          -90.05,
           39.95
         ]
       ]
diff --git a/catalog/Red_River_historical/collection.json b/catalog/Red_River_historical/collection.json
index f5f815f4..f02ff0de 100644
--- a/catalog/Red_River_historical/collection.json
+++ b/catalog/Red_River_historical/collection.json
@@ -37,7 +37,7 @@
         269.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "lat": {
       "type": "spatial",
@@ -48,7 +48,7 @@
         39.95
       ],
       "step": 0.1,
-      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"ProjectedCRS\",\"name\":\"unknown\",\"base_crs\":{\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"unknown\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}},\"conversion\":{\"name\":\"unknown\",\"method\":{\"name\":\"Equidistant Cylindrical\",\"id\":{\"authority\":\"EPSG\",\"code\":1028}},\"parameters\":[{\"name\":\"Latitude of 1st standard parallel\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8823}},{\"name\":\"Latitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8801}},{\"name\":\"Longitude of natural origin\",\"value\":0,\"unit\":\"degree\",\"id\":{\"authority\":\"EPSG\",\"code\":8802}},{\"name\":\"False easting\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8806}},{\"name\":\"False northing\",\"value\":0,\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274},\"id\":{\"authority\":\"EPSG\",\"code\":8807}}]},\"coordinate_system\":{\"subtype\":\"Cartesian\",\"axis\":[{\"name\":\"Easting\",\"abbreviation\":\"E\",\"direction\":\"east\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Northing\",\"abbreviation\":\"N\",\"direction\":\"north\",\"unit\":{\"type\":\"LinearUnit\",\"name\":\"unknown\",\"conversion_factor\":111319.490793274}},{\"name\":\"Ellipsoidal height\",\"abbreviation\":\"h\",\"direction\":\"up\",\"unit\":\"metre\"}]}}"
+      "reference_system": "{\"$schema\":\"https://proj.org/schemas/v0.5/projjson.schema.json\",\"type\":\"GeographicCRS\",\"name\":\"unknown\",\"datum\":{\"type\":\"GeodeticReferenceFrame\",\"name\":\"Unknown based on WGS 84 ellipsoid\",\"ellipsoid\":{\"name\":\"WGS 84\",\"semi_major_axis\":6378137,\"inverse_flattening\":298.257223563,\"id\":{\"authority\":\"EPSG\",\"code\":7030}}},\"coordinate_system\":{\"subtype\":\"ellipsoidal\",\"axis\":[{\"name\":\"Longitude\",\"abbreviation\":\"lon\",\"direction\":\"east\",\"unit\":\"degree\"},{\"name\":\"Latitude\",\"abbreviation\":\"lat\",\"direction\":\"north\",\"unit\":\"degree\"}]},\"remarks\":\"PROJ CRS string: +proj=longlat +ellps=WGS84 +no_defs +lon_wrap=180\"}"
     },
     "bnds": {
       "type": "count",
@@ -62,7 +62,7 @@
   "cube:variables": {
     "crs": {
       "dimensions": [],
-      "type": "auxiliary",
+      "type": "data",
       "description": null,
       "unit": null
     },
@@ -458,9 +458,9 @@
     "spatial": {
       "bbox": [
         [
-          251.05,
+          -108.94999999999999,
           26.05,
-          269.95,
+          -90.05,
           39.95
         ]
       ]
diff --git a/workflows/archive/Red_River_MPI-ESM-LR_future_create_collection_from_zarr.ipynb b/workflows/archive/Red_River_MPI-ESM-LR_future_create_collection_from_zarr.ipynb
index 02374c82..e8080acf 100644
--- a/workflows/archive/Red_River_MPI-ESM-LR_future_create_collection_from_zarr.ipynb
+++ b/workflows/archive/Red_River_MPI-ESM-LR_future_create_collection_from_zarr.ipynb
@@ -33,7 +33,8 @@
     "import pandas as pd\n",
     "import json\n",
     "import numpy as np\n",
-    "import metpy\n",
+    "import pyproj\n",
+    "from pyproj import Transformer\n",
     "import cartopy.crs as ccrs\n",
     "import cfunits\n",
     "import json\n",
@@ -213,8 +214,37 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds  = ds.metpy.parse_cf()\n",
-    "crs = ds[list(ds.keys())[0]].metpy.cartopy_crs"
+    "# use pyproj to automatically extract crs info\n",
+    "crs = pyproj.CRS.from_cf(ds.crs.attrs)\n",
+    "\n",
+    "# alternatively, create the appropriate cartopy projection\n",
+    "# crs = ccrs.LambertConformal(central_longitude=crs_info.longitude_of_central_meridian, \n",
+    "#                             central_latitude=crs_info.latitude_of_projection_origin,\n",
+    "#                             standard_parallels=crs_info.standard_parallel)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02aa1616-5878-4f61-abe8-905f3c918407",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ds.crs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d0e5c7f-0b7d-4b3f-aa6b-a41d92281dd3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "crs.to_proj4()"
    ]
   },
   {
@@ -245,14 +275,63 @@
     "# coordinates must be from WGS 84 datum\n",
     "# left, bottom, right, top\n",
     "\n",
-    "# Note: try changing around the commented out lines below to get type float ratherthan a numpy float\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
-    "coord_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(coord_bounds)\n",
-    "print(f'\\ncoord_bounds data type: {type(coord_bounds[0])}')\n",
+    "# Note: try changing around the commented out lines below to get type float rather than a numpy float\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
+    "spatial_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
+    "print(spatial_bounds)\n",
+    "print(f'\\nspatial_bounds data type: {type(spatial_bounds[0])}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fecaf3b8-f621-4c8a-9759-85b4a978d416",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "XX, YY = np.meshgrid(ds[dim_names_dict['X']].data, ds[dim_names_dict['Y']].data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02eb477c-f74d-4b22-8d8a-f9ffbb79047c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "transformer = Transformer.from_crs(crs, \"EPSG:4326\", always_xy=True)\n",
+    "lon, lat = transformer.transform(XX.ravel(), YY.ravel())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab4e717c-8b91-4cb8-98ef-c81c0e40e330",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(f'lower left coordinates (WGS84): {min(lon)}, {min(lat)}')\n",
+    "print(f'upper right coordinates (WGS84): {max(lon)}, {max(lat)}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f8061e60-3663-41f2-a6fa-ee6be15a6d76",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "# create a spatial extent object \n",
-    "spatial_extent = pystac.SpatialExtent(bboxes=[coord_bounds])"
+    "spatial_extent = pystac.SpatialExtent(bboxes=[[min(lon).item(), min(lat).item(), max(lon).item(), max(lat).item()]])"
    ]
   },
   {
@@ -420,18 +499,6 @@
     "print(dims)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "00a18a29-fb9a-4b56-8009-493122997b16",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# get x, y bounds for extent of those dimensions (required)\n",
-    "xy_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(xy_bounds)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "e7dc357c-91ec-49ae-83e5-400f791f9792",
@@ -441,17 +508,6 @@
     "reference list of cartopy projections: https://scitools.org.uk/cartopy/docs/latest/reference/projections.html"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ea452f62-5644-49b6-8a4e-7dc4f649fd1a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print out crs information in dataset\n",
-    "print(crs)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -661,12 +717,25 @@
     "# we do not recommend including redundant dimensions (do not include x,y if you have lon,lat)\n",
     "# note that the extent of each dimension should be pulled from the dataset\n",
     "dims_dict = {dim_names_dict['T']: pystac.extensions.datacube.Dimension({'type': 'temporal', 'description': stac_helpers.get_long_name(ds, dim_names_dict['T']), 'extent': [temporal_extent_lower.strftime('%Y-%m-%dT%XZ'), temporal_extent_upper.strftime('%Y-%m-%dT%XZ')], 'step':time_step}),\n",
-    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [xy_bounds[0], xy_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
-    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [xy_bounds[1], xy_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [spatial_bounds[0], spatial_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [spatial_bounds[1], spatial_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
     "             'bnds': pystac.extensions.datacube.Dimension({'type': 'count', 'description': stac_helpers.get_long_name(ds, 'bnds'), 'extent': [ds.bnds.min().item(), ds.bnds.max().item()]}),\n",
     "            }"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "14cf211f-e421-4893-929e-b158940576d6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# make sure you added all the right dims\n",
+    "assert sorted(list(dims_dict.keys())) == sorted(dims)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0f277883-a3fd-425f-966a-ca2140d0ef2f",
diff --git a/workflows/archive/Red_River_MPI-ESM-LR_historical_create_collection_from_zarr.ipynb b/workflows/archive/Red_River_MPI-ESM-LR_historical_create_collection_from_zarr.ipynb
index 210edd5a..81de48c3 100644
--- a/workflows/archive/Red_River_MPI-ESM-LR_historical_create_collection_from_zarr.ipynb
+++ b/workflows/archive/Red_River_MPI-ESM-LR_historical_create_collection_from_zarr.ipynb
@@ -33,7 +33,8 @@
     "import pandas as pd\n",
     "import json\n",
     "import numpy as np\n",
-    "import metpy\n",
+    "import pyproj\n",
+    "from pyproj import Transformer\n",
     "import cartopy.crs as ccrs\n",
     "import cfunits\n",
     "import json\n",
@@ -213,8 +214,37 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds  = ds.metpy.parse_cf()\n",
-    "crs = ds[list(ds.keys())[0]].metpy.cartopy_crs"
+    "# use pyproj to automatically extract crs info\n",
+    "crs = pyproj.CRS.from_cf(ds.crs.attrs)\n",
+    "\n",
+    "# alternatively, create the appropriate cartopy projection\n",
+    "# crs = ccrs.LambertConformal(central_longitude=crs_info.longitude_of_central_meridian, \n",
+    "#                             central_latitude=crs_info.latitude_of_projection_origin,\n",
+    "#                             standard_parallels=crs_info.standard_parallel)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b98a6623-56fd-47f5-8dbf-492476995c31",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ds.crs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "25de71e9-52bc-404e-918c-5fd75cadf654",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "crs.to_proj4()"
    ]
   },
   {
@@ -245,14 +275,63 @@
     "# coordinates must be from WGS 84 datum\n",
     "# left, bottom, right, top\n",
     "\n",
-    "# Note: try changing around the commented out lines below to get type float ratherthan a numpy float\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
-    "coord_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(coord_bounds)\n",
-    "print(f'\\ncoord_bounds data type: {type(coord_bounds[0])}')\n",
+    "# Note: try changing around the commented out lines below to get type float rather than a numpy float\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
+    "spatial_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
+    "print(spatial_bounds)\n",
+    "print(f'\\nspatial_bounds data type: {type(spatial_bounds[0])}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b82a761b-2444-4ea1-9f0a-1544b422b765",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "XX, YY = np.meshgrid(ds[dim_names_dict['X']].data, ds[dim_names_dict['Y']].data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eb4a8cdb-2ecc-42c5-b4fe-04a6c36df375",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "transformer = Transformer.from_crs(crs, \"EPSG:4326\", always_xy=True)\n",
+    "lon, lat = transformer.transform(XX.ravel(), YY.ravel())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eab19bc2-c275-4414-b302-1acac3cbbfa4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(f'lower left coordinates (WGS84): {min(lon)}, {min(lat)}')\n",
+    "print(f'upper right coordinates (WGS84): {max(lon)}, {max(lat)}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "434e3d31-6040-43fc-89d8-2a9bceeade31",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "# create a spatial extent object \n",
-    "spatial_extent = pystac.SpatialExtent(bboxes=[coord_bounds])"
+    "spatial_extent = pystac.SpatialExtent(bboxes=[[min(lon).item(), min(lat).item(), max(lon).item(), max(lat).item()]])"
    ]
   },
   {
@@ -420,18 +499,6 @@
     "print(dims)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "00a18a29-fb9a-4b56-8009-493122997b16",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# get x, y bounds for extent of those dimensions (required)\n",
-    "xy_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(xy_bounds)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "e7dc357c-91ec-49ae-83e5-400f791f9792",
@@ -441,17 +508,6 @@
     "reference list of cartopy projections: https://scitools.org.uk/cartopy/docs/latest/reference/projections.html"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ea452f62-5644-49b6-8a4e-7dc4f649fd1a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print out crs information in dataset\n",
-    "print(crs)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -661,12 +717,25 @@
     "# we do not recommend including redundant dimensions (do not include x,y if you have lon,lat)\n",
     "# note that the extent of each dimension should be pulled from the dataset\n",
     "dims_dict = {dim_names_dict['T']: pystac.extensions.datacube.Dimension({'type': 'temporal', 'description': stac_helpers.get_long_name(ds, dim_names_dict['T']), 'extent': [temporal_extent_lower.strftime('%Y-%m-%dT%XZ'), temporal_extent_upper.strftime('%Y-%m-%dT%XZ')], 'step':time_step}),\n",
-    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [xy_bounds[0], xy_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
-    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [xy_bounds[1], xy_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [spatial_bounds[0], spatial_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [spatial_bounds[1], spatial_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
     "             'bnds': pystac.extensions.datacube.Dimension({'type': 'count', 'description': stac_helpers.get_long_name(ds, 'bnds'), 'extent': [ds.bnds.min().item(), ds.bnds.max().item()]}),\n",
     "            }"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f07272be-1a13-481b-bf8a-f135ce0da1d4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# make sure you added all the right dims\n",
+    "assert sorted(list(dims_dict.keys())) == sorted(dims)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0f277883-a3fd-425f-966a-ca2140d0ef2f",
diff --git a/workflows/archive/Red_River_future_create_collection_from_zarr.ipynb b/workflows/archive/Red_River_future_create_collection_from_zarr.ipynb
index 60bc2ba7..ce941d3b 100644
--- a/workflows/archive/Red_River_future_create_collection_from_zarr.ipynb
+++ b/workflows/archive/Red_River_future_create_collection_from_zarr.ipynb
@@ -33,7 +33,8 @@
     "import pandas as pd\n",
     "import json\n",
     "import numpy as np\n",
-    "import metpy\n",
+    "import pyproj\n",
+    "from pyproj import Transformer\n",
     "import cartopy.crs as ccrs\n",
     "import cfunits\n",
     "import json\n",
@@ -213,8 +214,37 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds  = ds.metpy.parse_cf()\n",
-    "crs = ds[list(ds.keys())[0]].metpy.cartopy_crs"
+    "# use pyproj to automatically extract crs info\n",
+    "crs = pyproj.CRS.from_cf(ds.crs.attrs)\n",
+    "\n",
+    "# alternatively, create the appropriate cartopy projection\n",
+    "# crs = ccrs.LambertConformal(central_longitude=crs_info.longitude_of_central_meridian, \n",
+    "#                             central_latitude=crs_info.latitude_of_projection_origin,\n",
+    "#                             standard_parallels=crs_info.standard_parallel)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "56a4af3d-0134-40d6-9599-e4c250bb5328",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ds.crs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cb57bd22-ba01-4462-bc11-b7ec898b1c33",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "crs.to_proj4()"
    ]
   },
   {
@@ -245,14 +275,63 @@
     "# coordinates must be from WGS 84 datum\n",
     "# left, bottom, right, top\n",
     "\n",
-    "# Note: try changing around the commented out lines below to get type float ratherthan a numpy float\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
-    "coord_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(coord_bounds)\n",
-    "print(f'\\ncoord_bounds data type: {type(coord_bounds[0])}')\n",
+    "# Note: try changing around the commented out lines below to get type float rather than a numpy float\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
+    "spatial_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
+    "print(spatial_bounds)\n",
+    "print(f'\\nspatial_bounds data type: {type(spatial_bounds[0])}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "21ade03d-5058-4b4f-9c07-3746343783d0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "XX, YY = np.meshgrid(ds[dim_names_dict['X']].data, ds[dim_names_dict['Y']].data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6bc8bc0e-a495-45ed-ac04-4d4c65c07650",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "transformer = Transformer.from_crs(crs, \"EPSG:4326\", always_xy=True)\n",
+    "lon, lat = transformer.transform(XX.ravel(), YY.ravel())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c9f851a-6445-472e-a4a5-bd462fac3fa8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(f'lower left coordinates (WGS84): {min(lon)}, {min(lat)}')\n",
+    "print(f'upper right coordinates (WGS84): {max(lon)}, {max(lat)}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34d7f4bc-b532-492a-9a7d-d6ff1d3b9f82",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "# create a spatial extent object \n",
-    "spatial_extent = pystac.SpatialExtent(bboxes=[coord_bounds])"
+    "spatial_extent = pystac.SpatialExtent(bboxes=[[min(lon).item(), min(lat).item(), max(lon).item(), max(lat).item()]])"
    ]
   },
   {
@@ -420,18 +499,6 @@
     "print(dims)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "00a18a29-fb9a-4b56-8009-493122997b16",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# get x, y bounds for extent of those dimensions (required)\n",
-    "xy_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(xy_bounds)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "e7dc357c-91ec-49ae-83e5-400f791f9792",
@@ -441,17 +508,6 @@
     "reference list of cartopy projections: https://scitools.org.uk/cartopy/docs/latest/reference/projections.html"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ea452f62-5644-49b6-8a4e-7dc4f649fd1a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print out crs information in dataset\n",
-    "print(crs)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -661,12 +717,25 @@
     "# we do not recommend including redundant dimensions (do not include x,y if you have lon,lat)\n",
     "# note that the extent of each dimension should be pulled from the dataset\n",
     "dims_dict = {dim_names_dict['T']: pystac.extensions.datacube.Dimension({'type': 'temporal', 'description': stac_helpers.get_long_name(ds, dim_names_dict['T']), 'extent': [temporal_extent_lower.strftime('%Y-%m-%dT%XZ'), temporal_extent_upper.strftime('%Y-%m-%dT%XZ')], 'step':time_step}),\n",
-    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [xy_bounds[0], xy_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
-    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [xy_bounds[1], xy_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [spatial_bounds[0], spatial_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [spatial_bounds[1], spatial_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
     "             'bnds': pystac.extensions.datacube.Dimension({'type': 'count', 'description': stac_helpers.get_long_name(ds, 'bnds'), 'extent': [ds.bnds.min().item(), ds.bnds.max().item()]}),\n",
     "            }"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fa518622-9b12-4823-9eac-26ec432fc5f0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# make sure you added all the right dims\n",
+    "assert sorted(list(dims_dict.keys())) == sorted(dims)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0f277883-a3fd-425f-966a-ca2140d0ef2f",
diff --git a/workflows/archive/Red_River_historical_create_collection_from_zarr.ipynb b/workflows/archive/Red_River_historical_create_collection_from_zarr.ipynb
index eb6a317a..7558fc13 100644
--- a/workflows/archive/Red_River_historical_create_collection_from_zarr.ipynb
+++ b/workflows/archive/Red_River_historical_create_collection_from_zarr.ipynb
@@ -33,7 +33,8 @@
     "import pandas as pd\n",
     "import json\n",
     "import numpy as np\n",
-    "import metpy\n",
+    "import pyproj\n",
+    "from pyproj import Transformer\n",
     "import cartopy.crs as ccrs\n",
     "import cfunits\n",
     "import json\n",
@@ -213,8 +214,37 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds  = ds.metpy.parse_cf()\n",
-    "crs = ds[list(ds.keys())[0]].metpy.cartopy_crs"
+    "# use pyproj to automatically extract crs info\n",
+    "crs = pyproj.CRS.from_cf(ds.crs.attrs)\n",
+    "\n",
+    "# alternatively, create the appropriate cartopy projection\n",
+    "# crs = ccrs.LambertConformal(central_longitude=crs_info.longitude_of_central_meridian, \n",
+    "#                             central_latitude=crs_info.latitude_of_projection_origin,\n",
+    "#                             standard_parallels=crs_info.standard_parallel)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd348e57-03f5-4518-af62-527e89681466",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ds.crs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "757cd712-fc3b-4bfc-a2b7-73ccd02348c9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "crs.to_proj4()"
    ]
   },
   {
@@ -245,14 +275,63 @@
     "# coordinates must be from WGS 84 datum\n",
     "# left, bottom, right, top\n",
     "\n",
-    "# Note: try changing around the commented out lines below to get type float ratherthan a numpy float\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
-    "#coord_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
-    "coord_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(coord_bounds)\n",
-    "print(f'\\ncoord_bounds data type: {type(coord_bounds[0])}')\n",
+    "# Note: try changing around the commented out lines below to get type float rather than a numpy float\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float), ds[dim_names_dict['Y']].data.min().compute().astype(float), ds[dim_names_dict['X']].data.max().compute().astype(float), ds[dim_names_dict['Y']].data.max().compute().astype(float)]\n",
+    "#spatial_bounds = [ds[dim_names_dict['X']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.min().compute().astype(float).tolist(), ds[dim_names_dict['X']].data.max().compute().astype(float).tolist(), ds[dim_names_dict['Y']].data.max().compute().astype(float).tolist()]\n",
+    "spatial_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
+    "print(spatial_bounds)\n",
+    "print(f'\\nspatial_bounds data type: {type(spatial_bounds[0])}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "614ed34a-6cf7-48ec-8bac-efc22afd6790",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "XX, YY = np.meshgrid(ds[dim_names_dict['X']].data, ds[dim_names_dict['Y']].data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca67d6ee-6e1d-450d-958d-52d11d3aa8e7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "transformer = Transformer.from_crs(crs, \"EPSG:4326\", always_xy=True)\n",
+    "lon, lat = transformer.transform(XX.ravel(), YY.ravel())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d88d7600-e7ba-4836-b427-92d97a8b1b8b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(f'lower left coordinates (WGS84): {min(lon)}, {min(lat)}')\n",
+    "print(f'upper right coordinates (WGS84): {max(lon)}, {max(lat)}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c3639565-c00f-4490-8823-aa791b989c23",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "# create a spatial extent object \n",
-    "spatial_extent = pystac.SpatialExtent(bboxes=[coord_bounds])"
+    "spatial_extent = pystac.SpatialExtent(bboxes=[[min(lon).item(), min(lat).item(), max(lon).item(), max(lat).item()]])"
    ]
   },
   {
@@ -420,18 +499,6 @@
     "print(dims)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "00a18a29-fb9a-4b56-8009-493122997b16",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# get x, y bounds for extent of those dimensions (required)\n",
-    "xy_bounds = [ds[dim_names_dict['X']].data.min().astype(float).item(), ds[dim_names_dict['Y']].data.min().astype(float).item(), ds[dim_names_dict['X']].data.max().astype(float).item(), ds[dim_names_dict['Y']].data.max().astype(float).item()]\n",
-    "print(xy_bounds)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "e7dc357c-91ec-49ae-83e5-400f791f9792",
@@ -441,17 +508,6 @@
     "reference list of cartopy projections: https://scitools.org.uk/cartopy/docs/latest/reference/projections.html"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ea452f62-5644-49b6-8a4e-7dc4f649fd1a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print out crs information in dataset\n",
-    "print(crs)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -661,12 +717,25 @@
     "# we do not recommend including redundant dimensions (do not include x,y if you have lon,lat)\n",
     "# note that the extent of each dimension should be pulled from the dataset\n",
     "dims_dict = {dim_names_dict['T']: pystac.extensions.datacube.Dimension({'type': 'temporal', 'description': stac_helpers.get_long_name(ds, dim_names_dict['T']), 'extent': [temporal_extent_lower.strftime('%Y-%m-%dT%XZ'), temporal_extent_upper.strftime('%Y-%m-%dT%XZ')], 'step':time_step}),\n",
-    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [xy_bounds[0], xy_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
-    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [xy_bounds[1], xy_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['X']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'x', 'description': stac_helpers.get_long_name(ds, dim_names_dict['X']), 'extent': [spatial_bounds[0], spatial_bounds[2]], 'step': x_step, 'reference_system': projjson}),\n",
+    "             dim_names_dict['Y']: pystac.extensions.datacube.Dimension({'type': 'spatial', 'axis': 'y', 'description': stac_helpers.get_long_name(ds, dim_names_dict['Y']), 'extent': [spatial_bounds[1], spatial_bounds[3]], 'step': y_step, 'reference_system': projjson}),\n",
     "             'bnds': pystac.extensions.datacube.Dimension({'type': 'count', 'description': stac_helpers.get_long_name(ds, 'bnds'), 'extent': [ds.bnds.min().item(), ds.bnds.max().item()]}),\n",
     "            }"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "91bfa7db-1887-464c-9bc2-4d870a5c2d01",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# make sure you added all the right dims\n",
+    "assert sorted(list(dims_dict.keys())) == sorted(dims)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0f277883-a3fd-425f-966a-ca2140d0ef2f",
-- 
GitLab