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

sloosvel · 2025-09-15T07:24:12Z

Description

This PR contains tests recipes to produce the plots for WP2 of ESO4clima. It provides informational value, feel free to open another PR to merge the end product.

recipe_cordex-cmip5.yml

recipe_cordex-cmip5.yml plots maps for the CORDEX data and, if an observational dataset is present, 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:

map_ts_CORDEX_CNRM-CERFACS-CNRM-CM5_ALADIN63_day

recipe_cordex-cmip5_perfmetrics.yml

Produces the perfomance metrics plots for variable ts, which has been previously examined using the recipe to produce maps to ensure the data is consistent. It is pending to be expanded to support more variables and more CORDEX datasets. The current recipe contains a full list of CORDEX datasets that is commented and that should be uncommented when all CORDEX metadata and data issues are fixed in ESMValCore. The current recipe contains a sample list of datasets that produces a test performance plot for a single variable against two observational datasets, just to prove that there are no issues that prevent the diagnostic to be executed. It produces the following plot:

recipe_cordex-cmip5_perfmetrics_all

Produces the performance metrics plot for several variables in CORDEX and ESA-CCI data. The CORDEX datasets are the subset of the EUR-11 domain that are common for all variables. However the data has not visually inspected beforehand with recipe_cordex-cmip5,yml, so there may be data issues that are going unnoticed. It produces the following plot:

Related to ESO4clima CORDEX CMIP5 recipe #4198
Link to documentation:

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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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…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.

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

Open

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…

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…dex5_recipe

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

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…dex5_recipe

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

updated recipes

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Recipes to evaluate CORDEX-CMIP5 models#4199

Recipes to evaluate CORDEX-CMIP5 models#4199
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Description

recipe_cordex-cmip5.yml

recipe_cordex-cmip5_perfmetrics.yml

recipe_cordex-cmip5_perfmetrics_all

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New or updated recipe/diagnostic

New or updated data reformatting script

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