Recipes to evaluate CORDEX-CMIP5 models by sloosvel · Pull Request #4199 · ESMValGroup/ESMValTool

sloosvel · 2025-09-15T07:24:12Z

Description

This pull request adds recipes to demonstrate that ESMValTool is now capable of handling CORDEX data.

examples/recipe_map_CORDEX-CMIP5.yml

recipe_cordex-cmip5.yml plots maps for the CORDEX data and, if an observational dataset is present that is marked with the facet reference_for_monitor_diags: true, computes the bias against it. The maps are useful to visually inspect the data and detect issues in the values or the grid. Some example plots that can be produced are the following (with reference_for_monitor_diags: true on the observational data):

and (without reference_for_monitor_diags: true on the observational data):

All figures with comparison to CCI data are available at https://esmvaltool.dkrz.de/shared/esmvaltool/cordex/recipe_map_CORDEX-CMIP5_20260713_151914/ and figures with indivudual plots are available at https://esmvaltool.dkrz.de/shared/esmvaltool/cordex/recipe_map_CORDEX-CMIP5_20260714_084936/

recipe_perfmetrics_CORDEX-CMIP5.yml

Produces the performance metrics plot for several variables in CORDEX and ESA-CCI data, which has been previously examined using the recipe to produce maps to ensure the data is on the correct domain. An attempt has been made to correct issues with the units and to leave out datasets with invalid numbers (e.g. all zeros or of the order of 1e36), but it is not straightforward in all cases what the correct interpretation of the data is. For some models, the data is orders of magnitude removed from the other models and ESA CCI data.

Closes #4198

Link to documentation: TODO

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bouweandela · 2026-04-30T11:16:29Z

To generate a recipe with all available datasets for the variable ts, run this script:

import yaml

from esmvalcore.config import CFG
from esmvalcore.dataset import Dataset, datasets_to_recipe


def main() -> None:
    """Make a recipe with all CORDEX data we can find."""
    # Make sure to configure the data sources before running this script.
    # To configure ESGF as a data source, run:
    # `esmvaltool config copy data-esmvalcore-esgf.yml`
    CFG["search_data"] = "complete"

    template = Dataset(
        project="CORDEX",
        mip="day",
        short_name="ts",
        domain="EUR-11",
        dataset="*",
        institute="*",
        rcm_version="*",
        driver="*",
        ensemble="*",
    )
    datasets = tuple(template.from_files())
    print(
        yaml.safe_dump(
            datasets_to_recipe(
                [d.copy(diagnostic="diagnostic") for d in datasets],
            ),
        ),
    )


if __name__ == "__main__":
    main()

Result:

Details

datasets:
- dataset: ALADIN53
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
- dataset: ALADIN53
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
- dataset: ALADIN63
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v2
- dataset: ALADIN63
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
- dataset: ALADIN63
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
- dataset: ALADIN63
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
- dataset: ALADIN63
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
- dataset: CCLM4-8-17
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: CLMcom
  rcm_version: v1
- dataset: CCLM4-8-17
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: CLMcom
  rcm_version: v1
- dataset: CCLM4-8-17
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: CLMcom
  rcm_version: v1
- dataset: CCLM4-8-17
  driver: MIROC-MIROC5
  ensemble: r1i1p1
  institute: CLMcom
  rcm_version: v1
- dataset: CCLM4-8-17
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: CLMcom
  rcm_version: v1
- dataset: CCLM4-8-17
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: CLMcom
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: ICHEC-EC-EARTH
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: ICHEC-EC-EARTH
  ensemble: r3i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: MPI-M-MPI-ESM-LR
  ensemble: r(1:3)i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: COSMO-crCLIM-v1-1
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
- dataset: HIRHAM5
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v2
- dataset: HIRHAM5
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
- dataset: HIRHAM5
  driver: ICHEC-EC-EARTH
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
- dataset: HIRHAM5
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: DMI
  rcm_version: v1
- dataset: HIRHAM5
  driver: ICHEC-EC-EARTH
  ensemble: r3i1p1
  institute: DMI
  rcm_version: v2
- dataset: HIRHAM5
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
- dataset: HIRHAM5
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v2
- dataset: HIRHAM5
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
- dataset: HIRHAM5
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v3
- dataset: HadREM3-GA7-05
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v2
- dataset: HadREM3-GA7-05
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
- dataset: HadREM3-GA7-05
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: MOHC
  rcm_version: v1
- dataset: HadREM3-GA7-05
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
- dataset: HadREM3-GA7-05
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
- dataset: HadREM3-GA7-05
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
- dataset: RACMO22E
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: KNMI
  rcm_version: v2
- dataset: RACMO22E
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: KNMI
  rcm_version: v1
- dataset: RACMO22E
  driver: ICHEC-EC-EARTH
  ensemble: r1i1p1
  institute: KNMI
  rcm_version: v1
- dataset: RACMO22E
  driver: ICHEC-EC-EARTH
  ensemble: r3i1p1
  institute: KNMI
  rcm_version: v1
- dataset: RACMO22E
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: KNMI
  rcm_version: v1
- dataset: RACMO22E
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: KNMI
  rcm_version: v1
- dataset: RACMO22E
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: KNMI
  rcm_version: v2
- dataset: RACMO22E
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: KNMI
  rcm_version: v1
- dataset: RACMO22E
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: KNMI
  rcm_version: v1
- dataset: RCA4
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: ICHEC-EC-EARTH
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: ICHEC-EC-EARTH
  ensemble: r3i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: MPI-M-MPI-ESM-LR
  ensemble: r(2:3)i1p1
  institute: SMHI
  rcm_version: v1
- dataset: RCA4
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1a
- dataset: RCA4
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
- dataset: REMO2009
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: MPI-CSC
  rcm_version: v1
- dataset: REMO2009
  driver: MPI-M-MPI-ESM-LR
  ensemble: r(1:2)i1p1
  institute: MPI-CSC
  rcm_version: v1
- dataset: REMO2015
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v2
- dataset: REMO2015
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: IPSL-IPSL-CM5A-LR
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: MIROC-MIROC5
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: MPI-M-MPI-ESM-LR
  ensemble: r3i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
- dataset: REMO2015
  driver: NOAA-GFDL-GFDL-ESM2G
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
- dataset: RegCM4-2
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: DHMZ
  rcm_version: v1
- dataset: RegCM4-6
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v2
- dataset: RegCM4-6
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
- dataset: RegCM4-6
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: ICTP
  rcm_version: v1
- dataset: RegCM4-6
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
- dataset: RegCM4-6
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
- dataset: RegCM4-6
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
- dataset: WRF361H
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: UHOH
  rcm_version: v1
- dataset: WRF381P
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: IPSL
  rcm_version: v2
- dataset: WRF381P
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: IPSL
  rcm_version: v1
- dataset: WRF381P
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: IPSL
  rcm_version: v1
- dataset: WRF381P
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: IPSL
  rcm_version: v1
- dataset: WRF381P
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: IPSL
  rcm_version: v1
- dataset: WRF381P
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: IPSL
  rcm_version: v1
- dataset: WRF381P
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: IPSL
  rcm_version: v1
diagnostics:
  diagnostic:
    variables:
      ts:
        domain: EUR-11
        mip: day
        project: CORDEX

bouweandela · 2026-04-30T11:39:16Z

And here is another version that only lists those datasets that also have sftlf available:

import yaml

from esmvalcore.config import CFG
from esmvalcore.dataset import Dataset, datasets_to_recipe


def main() -> None:
    """Make a recipe with all CORDEX data we can find."""
    # Make sure to configure the data sources before running this script.
    # To configure ESGF as a data source, run:
    # `esmvaltool config copy data-esmvalcore-esgf.yml`
    CFG["search_data"] = "complete"

    template = Dataset(
        project="CORDEX",
        mip="day",
        short_name="ts",
        domain="EUR-11",
        dataset="*",
        institute="*",
        rcm_version="*",
        driver="*",
        ensemble="*",
    )
    datasets = []
    for dataset in template.from_files():
        dataset.add_supplementary(short_name="sftlf", mip="fx", ensemble="*")
        result = next(dataset.from_files())
        if result.supplementaries:
            datasets.append(result)
    recipe = datasets_to_recipe(
        [d.copy(diagnostic="diagnostic") for d in datasets],
    )
    for dataset in recipe["datasets"]:
        dataset["supplementary_variables"][0].pop("diagnostic", None)
    print(yaml.safe_dump(recipe))


if __name__ == "__main__":
    main()

Result:

Details

datasets:
- dataset: ALADIN53
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: ALADIN53
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: ALADIN63
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v2
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: ALADIN63
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: ALADIN63
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: ALADIN63
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: ALADIN63
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: CNRM
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: CCLM4-8-17
  driver: MIROC-MIROC5
  ensemble: r1i1p1
  institute: CLMcom
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: COSMO-crCLIM-v1-1
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: COSMO-crCLIM-v1-1
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: COSMO-crCLIM-v1-1
  driver: ICHEC-EC-EARTH
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables: &id001
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: COSMO-crCLIM-v1-1
  driver: ICHEC-EC-EARTH
  ensemble: r3i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables: *id001
- dataset: COSMO-crCLIM-v1-1
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables: *id001
- dataset: COSMO-crCLIM-v1-1
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: COSMO-crCLIM-v1-1
  driver: MPI-M-MPI-ESM-LR
  ensemble: r(1:3)i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: COSMO-crCLIM-v1-1
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: CLMcom-ETH
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v2
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: ICHEC-EC-EARTH
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
  supplementary_variables: &id002
  - mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: DMI
  rcm_version: v1
  supplementary_variables: *id002
- dataset: HIRHAM5
  driver: ICHEC-EC-EARTH
  ensemble: r3i1p1
  institute: DMI
  rcm_version: v2
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v2
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HIRHAM5
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: DMI
  rcm_version: v3
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HadREM3-GA7-05
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v2
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HadREM3-GA7-05
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HadREM3-GA7-05
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: MOHC
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HadREM3-GA7-05
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HadREM3-GA7-05
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: HadREM3-GA7-05
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: MOHC
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: ICHEC-EC-EARTH
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables: &id003
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: ICHEC-EC-EARTH
  ensemble: r3i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables: *id003
- dataset: RCA4
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables: *id003
- dataset: RCA4
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: MPI-M-MPI-ESM-LR
  ensemble: r(2:3)i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1a
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RCA4
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: SMHI
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: REMO2015
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v2
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: REMO2015
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: GERICS
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: REMO2015
  driver: IPSL-IPSL-CM5A-LR
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: REMO2015
  driver: IPSL-IPSL-CM5A-MR
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: REMO2015
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: REMO2015
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: REMO2015
  driver: NOAA-GFDL-GFDL-ESM2G
  ensemble: r1i1p1
  institute: GERICS
  rcm_version: v1
  supplementary_variables:
  - ensemble: r0i0p0
    mip: fx
    short_name: sftlf
- dataset: RegCM4-2
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: DHMZ
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: RegCM4-6
  driver: CNRM-CERFACS-CNRM-CM5
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v2
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: RegCM4-6
  driver: ECMWF-ERAINT
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: RegCM4-6
  driver: ICHEC-EC-EARTH
  ensemble: r12i1p1
  institute: ICTP
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: RegCM4-6
  driver: MOHC-HadGEM2-ES
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: RegCM4-6
  driver: MPI-M-MPI-ESM-LR
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
- dataset: RegCM4-6
  driver: NCC-NorESM1-M
  ensemble: r1i1p1
  institute: ICTP
  rcm_version: v1
  supplementary_variables:
  - mip: fx
    short_name: sftlf
diagnostics:
  diagnostic:
    variables:
      ts:
        domain: EUR-11
        mip: day
        project: CORDEX

CLAassistant · 2026-05-20T11:00:06Z

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✅ bouweandela
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…dex5_recipe

bouweandela · 2026-06-12T14:15:54Z

@axel-lauer @hb326 Do you have a suggestion for how many and which variables should be in the portrait plot for the ESO4clima D6.2.1 deliverable? And which observational datasets? We have clt, rsus, sic, and ts in esmvaltool/recipes/examples/recipe_cordex-cmip5_perfmetrics_all.yml so far, is that enough or do you think it would be better to add some more?

axel-lauer · 2026-06-16T07:15:59Z

@axel-lauer @hb326 Do you have a suggestion for how many and which variables should be in the portrait plot for the ESO4clima D6.2.1 deliverable? And which observational datasets? We have clt, rsus, sic, and ts in esmvaltool/recipes/examples/recipe_cordex-cmip5_perfmetrics_all.yml so far, is that enough or do you think it would be better to add some more?

I don't think we promised a specific number of variables for this deliverable. The deliverable is defined as "New performance metrics plots with ESA-CCIdata produced with the project-enhanced ESMValTool forCORDEX-CMIP5 models that were not previously supported."

For this reason, I think it would be great to have a few more variables such as (if available) lwp, clivi, tos, sm, rlut, swcre, lwcre, prw, snw, od550aer, toz.

…dex5_recipe

…24-01" dataset with the correct datasets

bouweandela · 2026-07-03T08:03:21Z

Current recipe output looks like this:

TODO perfmetrics:

Make fonts smaller
The color for missing data appears to be unused (should be gray but is still white)
It looks like some datasets are very far off, they probably need a correction to the units, work in progress in Various fixes for CORDEX model data ESMValCore#3135
Check that this makes some sense scientifically

TODO maps:

Compare with reference -> there is now examples/recipe_map_CORDEX-CMIP5.yml which does this

…dex5_recipe

bouweandela · 2026-07-13T09:03:21Z

Current figure:

bouweandela · 2026-07-14T09:18:07Z

Maps comparing CORDEX to ESA CCI data as produced by examples/recipe_map_CORDEX-CMIP5.yml are available at https://esmvaltool.dkrz.de/shared/esmvaltool/cordex/recipe_map_CORDEX-CMIP5_20260713_151914/.

sloosvel added 8 commits July 9, 2025 15:28

Allow maps to plot CORDEX data

7922256

Add recipe

c6ffe5c

Add recipe documentation

79df9c2

Add maintainer

7f2fd36

Add supplementaries

2d01d9f

Remove duplicate

c9801af

Remove missing datasets

f75dd05

Set target grid to model

d260fa6

sloosvel added the diagnostic label Sep 15, 2025

This was referenced Sep 15, 2025

regrid pre-processor removes coordinates that may be useful ESMValGroup/ESMValCore#2839

Closed

Dataset problem: Fixing the grids in ALADIN53 and ALADIN63 datasets ESMValGroup/ESMValCore#2840

Closed

sloosvel mentioned this pull request Sep 15, 2025

ESO4clima CORDEX CMIP5 recipe #4198

Open

sloosvel added this to Cordex support (ESO4clima WP2) Sep 26, 2025

sloosvel moved this to In Progress in Cordex support (ESO4clima WP2) Sep 26, 2025

sloosvel added this to the 2.15.0 milestone Oct 3, 2025

bouweandela mentioned this pull request Nov 17, 2025

Calculating Lamb weathertypes for CMIP5, CMIP6, SMILES and EURO-CORDEX #4231

Merged

11 tasks

Add performance metrics recipe

9c9bfa6

sloosvel changed the title ~~Recipe to evaluate CORDEX-CMIP5 models~~ Recipes to evaluate CORDEX-CMIP5 models Nov 26, 2025

Add performance metric plot for several variables

9b83385

bouweandela added 2 commits May 20, 2026 17:24

Merge branch 'main' of github.com:ESMValGroup/ESMValTool into dev_cor…

48cdc2d

…dex5_recipe

Merge branch 'main' of github.com:ESMValGroup/ESMValTool into dev_cor…

c5cc7e2

…dex5_recipe

bouweandela modified the milestones: v2.15.0, v2.16.0 Jun 10, 2026

updated recipes

048b5bd

Merge branch 'main' of github.com:ESMValGroup/ESMValTool into dev_cor…

6cc45b8

…dex5_recipe

bouweandela added 8 commits June 24, 2026 17:00

More compact recipe

6cf57ac

Sort datasets and use longer lines

2255b61

Drop RegCM4-6 because data is no longer available

10ece84

Use only data available from ESGF or Levante and replace odd "ICON-20…

f7a5365

…24-01" dataset with the correct datasets

Fix stuff

d9ef83f

Update recipe and environment

7033deb

Fix formatting

6b99609

Drop labels

6938492

bouweandela mentioned this pull request Jul 2, 2026

Various fixes for CORDEX model data ESMValGroup/ESMValCore#3135

Open

8 tasks

bouweandela added 3 commits July 2, 2026 22:37

Update lock file

0177a63

Use formatter from ESMValGroup/ESMValCore#3143

504a8da

Merge branch 'main' into dev_cordex5_recipe

36b9c4e

bouweandela added the requires new ESMValCore release A new release of ESMValCore is needed to solve this issue/merge this pull request.. label Jul 3, 2026

bouweandela added 2 commits July 3, 2026 09:53

Add Supriyo

a638472

Add Supriyo to recipe

10633f9

bouweandela added 5 commits July 3, 2026 10:16

Remove initial drafts of CORDEX perfmetrics recipes

1955353

Update esmvalcore version

f20021a

Update esmvalcore

8848d4e

Add recipe that plots each dataset on a map

1811a7a

Use longer time range and latest fixes

5a37a2d

bouweandela mentioned this pull request Jul 10, 2026

Add a function for writing recipes in a standard YAML format ESMValGroup/ESMValCore#3143

Open

10 tasks

ghossh and others added 3 commits July 12, 2026 14:53

update the plot

0e4af1f

Add map recipe and skip some bad datasets in perfmetrics recipe

dd7e1af

Merge branch 'main' of github.com:esmvalgroup/esmvaltool into dev_cor…

688e7ca

…dex5_recipe

bouweandela added 2 commits July 13, 2026 17:14

Update ESMValCore version

05959c5

Update esmvalcore

a8b63c2

Remove earlier version of map recipe

1980d09

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Recipes to evaluate CORDEX-CMIP5 models#4199

Recipes to evaluate CORDEX-CMIP5 models#4199
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examples/recipe_map_CORDEX-CMIP5.yml

recipe_perfmetrics_CORDEX-CMIP5.yml

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