recipe_python.yml

# 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 and timeseries of temperature.

  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: BCC-ESM1, project: CMIP6, exp: historical, ensemble: r1i1p1f1, grid: gn}
  - {dataset: bcc-csm1-1, version: v1, project: CMIP5, exp: historical, ensemble: r1i1p1}

preprocessors:
  # See https://docs.esmvaltool.org/projects/esmvalcore/en/latest/recipe/preprocessor.html
  # for a description of the preprocessor functions.

  to_degrees_c:
    convert_units:
      units: degrees_C

  annual_mean_amsterdam:
    extract_location:
      location: Amsterdam
      scheme: linear
    annual_statistics:
      operator: mean
    multi_model_statistics:
      statistics:
        - mean
      span: overlap
    convert_units:
      units: degrees_C

  annual_mean_global:
    area_statistics:
      operator: mean
    annual_statistics:
      operator: mean
    convert_units:
      units: degrees_C

diagnostics:

  map:
    description: Global map of temperature in January 2000.
    themes:
      - phys
    realms:
      - atmos
    variables:
      tas:
        mip: Amon
        preprocessor: to_degrees_c
        timerange: 2000/P1M
        caption: |
          Global map of {long_name} in January 2000 according to {dataset}.
    scripts:
      script1:
        script: examples/diagnostic.py
        quickplot:
          plot_type: pcolormesh
          cmap: Reds

  timeseries:
    description: Annual mean temperature in Amsterdam and global mean since 1850.
    themes:
      - phys
    realms:
      - atmos
    variables:
      tas_amsterdam:
        short_name: tas
        mip: Amon
        preprocessor: annual_mean_amsterdam
        timerange: 1850/2000
        caption: Annual mean {long_name} in Amsterdam according to {dataset}.
      tas_global:
        short_name: tas
        mip: Amon
        preprocessor: annual_mean_global
        timerange: 1850/2000
        caption: Annual global mean {long_name} according to {dataset}.
    scripts:
      script1:
        script: examples/diagnostic.py
        quickplot:
          plot_type: plot