ESMValTool v2.8.0 released!
New versions of the ESMValTool (v2.8.0) and ESMValCore (v2.8.0) have just been released:
These versions are available, as usual, on GitHub, conda-forge, PyPI and as containers.
Please refer to the Changelogs for an overview of the latest changes and additions:
ESMValCore now supports wildcards in recipes and offers improved support for ancillary variables and dataset versioning.
For details, see Automatically populating a recipe with all available datasets and Defining supplementary variables.
Support for CORDEX datasets in a rotated pole coordinate system has been added.
Native ICON output is now made UGRID-compliant on-the-fly to unlock the use of more sophisticated regridding algorithms.
The Python API has been extended with the addition of three modules:
For details, see our new example notebooks.
multi_model_statistics()has been extended to support more use-cases.
This release includes the diagnostics for reproducing four figures of Chapter 3 of the IPCC AR6 WG1 report (Link to documentation).
A new set of recipes and diagnostics has been included to evaluate cloud climatologies from CMIP models as used in Lauer et al. (2023) (Link to documentation).
Addition of a set of recipes for extreme events, regional and impact evaluation as used in Weigel et al. (2021) and in IPCC AR5 (Link to documentation).
Finally, a collection of output from 148 ESMValTool recipes run with version v2.8.0 is available on this portal: https://esmvaltool.dkrz.de/shared/esmvaltool/v2.8.0/
Happy model evaluation with ESMValTool!