Add an example recipe using ESA CCI data from the ESA Climate Data Center.

esmvaltool/recipes/examples/recipe_xcube.yml

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+# ESMValTool
+# recipe_python.yml
+#
+# See https://docs.esmvaltool.org/en/latest/recipes/recipe_examples.html
+# for a description of this recipe.
+#
+# See https://docs.esmvaltool.org/projects/esmvalcore/en/latest/recipe/overview.html
+# for a description of the recipe format.
+---
+documentation:
+  description: |
+    Example recipe that plots a map.
+
+  title: Recipe that runs an example diagnostic written in Python.
+
+  authors:
+    - andela_bouwe
+    - righi_mattia
+
+  maintainer:
+    - schlund_manuel
+
+  references:
+    - acknow_project
+
+  projects:
+    - esmval
+    - c3s-magic
+
+datasets:
+  - dataset: "ESACCI-WATERVAPOUR-L3C-TCWV-meris-005deg-2002-2017-fv3.2.zarr"
+
+preprocessors:
+  regrid:
+    regrid:
+      target_grid: "1x1"
+      scheme: nearest
+  annual_mean_global:
+    area_statistics:
+      operator: mean
+    annual_statistics:
+      operator: mean
+
+diagnostics:
+  map:
+    description: Global map in January 2010.
+    themes:
+      - phys
+    realms:
+      - atmos
+    variables:
+      prw:
+        branding_suffix: tavg-u-hxy-u
+        preprocessor: regrid
+        project: ESACCI
+        mip: atmos
+        frequency: mon
+        timerange: 201001/201001
+        caption: |
+          Global map of {long_name} in January 2010 according to {dataset}.
+    scripts:
+      script1:
+        script: examples/diagnostic.py
+        quickplot:
+          plot_type: pcolormesh
+          cmap: viridis

esmvaltool/recipes/examples/recipe_xcube_extra.yml

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+# ESMValTool
+# recipe_python.yml
+#
+# See https://docs.esmvaltool.org/en/latest/recipes/recipe_examples.html
+# for a description of this recipe.
+#
+# See https://docs.esmvaltool.org/projects/esmvalcore/en/latest/recipe/overview.html
+# for a description of the recipe format.
+---
+documentation:
+  description: |
+    Example recipe that plots a map.
+
+  title: Recipe that runs an example diagnostic written in Python.
+
+  authors:
+    - andela_bouwe
+    - righi_mattia
+
+  maintainer:
+    - schlund_manuel
+
+  references:
+    - acknow_project
+
+  projects:
+    - esmval
+    - c3s-magic
+
+datasets:
+  - dataset: "ESACCI-WATERVAPOUR-L3C-TCWV-meris-005deg-2002-2017-fv3.2.zarr"
+  # - dataset: ESACCI-LST-L3C-LST-SSMI13-0.25deg_1YEARLY_ASC-1996-2020-fv2.33_kr1.0
+  # - dataset: "reanalysis-era5-single-levels-monthly-means:monthly_averaged_reanalysis"
+  # - dataset: esacci.LST.yr.L3C.LST.multi-sensor.multi-platform.SSMI_SSMIS.v2-33.DES
+  # supplementary_variables: [{ short_name: areacella, skip: true }]
+
+preprocessors:
+  regrid:
+    regrid:
+      target_grid: "1x1"
+      scheme: nearest
+  annual_mean_global:
+    area_statistics:
+      operator: mean
+    annual_statistics:
+      operator: mean
+
+diagnostics:
+  map:
+    description: Global map in January 2010.
+    themes:
+      - phys
+    realms:
+      - atmos
+    variables:
+      prw:
+        branding_suffix: tavg-u-hxy-u
+        preprocessor: regrid
+        project: ESACCI
+        mip: atmos
+        frequency: mon
+        timerange: 201001/201001
+        caption: |
+          Global map of {long_name} in January 2010 according to {dataset}.
+      #lst:
+      # t2m:
+      #   project: CDS
+      #   mip: Amon
+      #   frequency: yr
+      #   timerange: 2010/P1Y
+      #   caption: |
+      #     Global map of {long_name} in January 2010 according to {dataset}.
+    scripts:
+      script1:
+        script: examples/diagnostic.py
+        quickplot:
+          plot_type: pcolormesh
+          cmap: viridis
+
+  # timeseries:
+  #   description: Annual mean global mean.
+  #   themes:
+  #     - phys
+  #   realms:
+  #     - atmos
+  #   variables:
+  #     lst:
+  #       project: ESACCI
+  #       mip: Amon
+  #       frequency: yr
+  #       preprocessor: annual_mean_global
+  #       # timerange: 2000/2010
+  #       caption: Annual global mean {long_name} according to {dataset}.
+  #   scripts:
+  #     script1:
+  #       script: examples/diagnostic.py
+  #       quickplot:
+  #         plot_type: plot