ESMValTool v2.10.0 released!
New versions of the ESMValTool (v2.10.0) and ESMValCore (v2.10.0) have just been released:
- https://github.com/ESMValGroup/ESMValTool/releases/tag/v2.10.0
- https://github.com/ESMValGroup/ESMValCore/releases/tag/v2.10.0
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:
- https://docs.esmvaltool.org/en/latest/changelog.html#v2-10-0
- https://docs.esmvaltool.org/projects/esmvalcore/en/latest/changelog.html#v2-10-0
Highlights:
ESMValCore:
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All statistics preprocessors support the same operators and have a common documentation. In addition, arbitrary keyword arguments for the statistical operation can be directly given to the preprocessor.
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The output webpage generated by the tool now looks better and provides methods to select and filter the output.
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Improved computational efficiency
ESMValTool:
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Added a realistic IPCC example recipe that reproduces figure 9.3 from AR6. It computes the mean sea-surface temperature anomaly between 1850-2100 over all available CMIP6 models. See the recipe documentation or read the blog post for more information.
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Added more plot types to monitoring diagnostic: Hovmoeller Z vs. time, Hovmoeller time vs latlon, variable vs. latitude are now available. See the recipe documentation for more information.
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Many recipes now have up-to-date obs4MIPs dataset names so required data can automatically be downloaded from ESGF.
Finally, a collection of output from 140 ESMValTool recipes run with version v2.10.0 is available on the DKRZ portal.
Happy model evaluation with ESMValTool!