ESMValCore
Cite this software
Description
ESMValCore package

ESMValCore: core functionalities for the ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in the Climate Model Intercomparison Project (CMIP).
Getting started
Please have a look at the documentation to get started.
Using the ESMValCore package to run recipes
The ESMValCore package provides the esmvaltool command, which can be used to run
recipes
for working with CMIP-like data.
A large collection of ready to use
recipes and diagnostics
is provided by the
ESMValTool
package.
Using ESMValCore as a Python library
The ESMValCore package provides various functions for:
-
Finding data in a directory structure typically used for CMIP data.
-
Reading CMIP/CMOR tables and using those to check model and observational data.
-
ESMValTool preprocessor functions based on iris for e.g. regridding, vertical interpolation, statistics, correcting (meta)data errors, extracting a time range, etcetera.
read all about it in the API documentation.
Getting help
The easiest way to get help if you cannot find the answer in the documentation on readthedocs, is to open an issue on GitHub.
Contributing
Contributions are very welcome, please read our contribution guidelines to get started.
- Apache-2.0
Participating organisations
Reference papers
- 1.Author(s): Manuel Schlund, Birgit Hassler, Axel Lauer, Bouwe Andela, Patrick Jöckel, Rémi Kazeroni, Saskia Loosveldt Tomas, Brian Medeiros, Valeriu Predoi, Stéphane Sénési, Jérôme Servonnat, Tobias Stacke, Javier Vegas-Regidor, Klaus Zimmermann, Veronika EyringPublished in Geoscientific Model Development by Copernicus GmbH in 2023, page: 315-33310.5194/gmd-16-315-2023
- 2.Author(s): Mattia Righi, Bouwe Andela, Veronika Eyring, Axel Lauer, Valeriu Predoi, Manuel Schlund, Javier Vegas-Regidor, Lisa Bock, Björn Brötz, Lee de Mora, Faruk Diblen, Laura Dreyer, Niels Drost, Paul Earnshaw, Birgit Hassler, Nikolay Koldunov, Bill Little, Saskia Loosveldt Tomas, Klaus ZimmermannPublished in Geoscientific Model Development by Copernicus GmbH in 2020, page: 1179-119910.5194/gmd-13-1179-2020
Mentions
Analysis-ready climate data with ESMValCore
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