Iss332

binder/environment.yml

@@ -12,7 +12,7 @@ dependencies:
 - distributed
 - bottleneck
 - netCDF4
-- xarray
+- xarray < 2023.3
 - cartopy
 - esmpy
 - intake-xarray

ci/environment.yml

@@ -6,7 +6,7 @@ dependencies:
 - distributed
 - bottleneck
 - netCDF4
-- xarray
+- xarray < 2023.3
 - cartopy
 - intake-xarray
 - geopy

sciserver_catalogs/catalog_xarray.yaml

@@ -775,7 +775,7 @@ sources:
 # ======================================================================
 # ECCOv4r4 data
   ECCO_v4r4:
-    description: ECCO version 4 release 4 dataset with fields necessary to close heat, salt and volume budgets
+    description: ECCO version 4 release 4 monthly mean dataset with fields necessary to close heat, salt and volume budgets
     driver: zarr
     model: MITGCM
     args:
@@ -870,6 +870,138 @@ sources:
       projection:
       original_output: monthly mean
 
+# ECCOv4r4 data
+  daily_ecco_grid:
+    description: ECCO version 4 release 4 grid
+    driver: netcdf
+    model: MITGCM
+    args:
+      urlpath: '/home/idies/workspace/poseidon/data03_02/daily_mean_ecco/ECCO-GRID.nc'
+      #drop_variables: ['k_u', 'k_p1', 'k_l', 'k']
+    metadata:
+      swap_dims:
+        k: Z
+        k_p1: Zp1
+        k_u: Zu
+        k_l: Zl
+      rename:
+        tile: face
+        i: X
+        j: Y
+        i_g: Xp1
+        j_g: Yp1
+        hFacC: HFacC
+        hFacS: HFacS
+        hFacW: HFacW
+      parameters:
+        rSphere: 6.371e+03
+        eq_state: jmd95
+        rho0: 1027
+        g: 9.81
+        eps_nh: 0
+        omega: 7.292123516990373e-05
+        c_p: 3.986e+03
+        tempFrz0: 9.01e-02
+        dTempFrz_dS: -5.75e-02
+      name: ECCO_v4r4
+      description: ECCO v4r4 3D dataset, ocean simulations on LLC90 grid
+      citation:
+      projection:
+      original_output: monthly mean
+
+# ECCOv4r4 data daily
+  daily_ecco_snap:
+    description: ECCO version 4 release 4 daily mean dataset with fields necessary to close heat, salt and volume budgets
+    driver: zarr
+    model: MITGCM
+    args:
+      urlpath: '/home/idies/workspace/poseidon/data0*_02/daily_mean_ecco/zarr/snap*'
+      drop_variables: ['XC', 'YC']
+    xarray_kwargs:
+      engine: zarr
+      parallel: true
+    metadata:
+      name: ECCO_v4r4
+      description: ECCO v4r4 3D dataset, ocean simulations on LLC90 grid
+      citation:
+      projection:
+      original_output: daily snapshot
+
+# ECCOv4r4 data daily
+  daily_ecco_mean:
+    description: ECCO version 4 release 4 daily mean dataset with fields necessary to close heat, salt and volume budgets
+    driver: zarr
+    model: MITGCM
+    args:
+      urlpath: '/home/idies/workspace/poseidon/data0*_02/daily_mean_ecco/zarr/mean*'
+      drop_variables: ['XC', 'YC', 'XG', 'YG', 'time_midp']
+    xarray_kwargs:
+      engine: zarr
+      parallel: true
+    metadata:
+      grid_coords:
+        add_midp: true
+        grid_coords:
+          Y:
+            Y:
+            Yp1: -0.5
+          X:
+            X:
+            Xp1: -0.5
+          Z:
+            Z:
+            Zp1: 0.5
+            Zu: 0.5
+            Zl: -0.5
+          time:
+            time: -0.5
+      face_connections: # topology
+        face_connections:
+          face:
+            0:
+              X: tuple(((12, 'Y', False), (3, 'X', False)))
+              Y: tuple((None,(1,'Y',False)))
+            1:
+              X: tuple(((11,'Y',False),(4,'X',False)))
+              Y: tuple(((0,'Y',False),(2,'Y',False)))
+            2:
+              X: tuple(((10,'Y',False),(5, 'X', False)))
+              Y: tuple(((1, 'Y', False), (6, 'X', False)))
+            3:
+              X: tuple(((0, 'X', False), (9, 'Y', False)))
+              Y: tuple((None, (4, 'Y', False)))
+            4:
+              X: tuple(((1, 'X', False), (8, 'Y', False)))
+              Y: tuple(((3, 'Y', False), (5, 'Y', False)))
+            5:
+              X: tuple(((2, 'X', False), (7, 'Y', False)))
+              Y: tuple(((4, 'Y', False), (6, 'Y', False)))
+            6:
+              X: tuple(((2, 'Y', False), (7, 'X', False)))
+              Y: tuple(((5, 'Y', False), (10, 'X', False)))
+            7:
+              X: tuple(((6, 'X', False), (8, 'X', False)))
+              Y: tuple(((5, 'X', False), (10, 'Y', False)))
+            8:
+              X: tuple(((7, 'X', False), (9, 'X', False)))
+              Y: tuple(((4, 'X', False), (11, 'Y', False)))
+            9:
+              X: tuple(((8, 'X', False), None))
+              Y: tuple(((3, 'X', False), (12, 'Y', False)))
+            10:
+              X: tuple(((6, 'Y', False), (11, 'X', False)))
+              Y: tuple(((7, 'Y', False), (2, 'X', False)))
+            11:
+              X: tuple(((10, 'X', False), (12, 'X', False)))
+              Y: tuple(((8, 'Y', False), (1, 'X', False)))
+            12:
+              X: tuple(((11, 'X', False), None))
+              Y: tuple(((9, 'Y', False), (0, 'X', False)))
+      name: ECCO_v4r4
+      description: ECCO v4r4 3D dataset, ocean simulations on LLC90 grid
+      citation:
+      projection:
+      original_output: daily mean
 
 # ======================================================================
 # HyCOM data test, interpolated onto lat-lon-depth coords

sciserver_catalogs/environment.yml

@@ -7,7 +7,8 @@ dependencies:
 - distributed
 - bottleneck
 - netCDF4
-- xarray
+- libnetcdf <= 4.8.1
+- xarray < 2023.3
 - cartopy
 - esmpy
 - geopy
@@ -54,8 +55,8 @@ dependencies:
 - imageio
 - pre-commit
 - xmitgcm
+- intake-xarray
 - pip:
   - black-nb
   - numbagg
-  - git+https://github.com/intake/intake-xarray.git
   - git+https://github.com/hainegroup/oceanspy.git