Metadata-Version: 2.1
Name: ESMValTool
Version: 2.7.0
Summary: ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP.
Home-page: https://www.esmvaltool.org
Download-URL: https://github.com/ESMValGroup/ESMValTool
Author: Bouwe Andela, Bjoern Broetz, Lee de Mora, Niels Drost, Veronika Eyring, Nikolay Koldunov, Axel Lauer, Benjamin Mueller, Valeriu Predoi, Mattia Righi, Manuel Schlund, Javier Vegas-Regidor, Klaus Zimmermann, Kemisola Adeniyi, Enrico Arnone, Omar Bellprat, Peter Berg, Lisa Bock, Louis-Philippe Caron, Nuno Carvalhais, Irene Cionni, Nicola Cortesi, Susanna Corti, Bas Crezee, Edouard Leopold Davin, Paolo Davini, Clara Deser, Faruk Diblen, David Docquier, Laura Dreyer, Carsten Ehbrecht, Paul Earnshaw, Bettina Gier, Nube Gonzalez-Reviriego, Paul Goodman, Stefan Hagemann, Jost von Hardenberg, Birgit Hassler, Alasdair Hunter, Christopher Kadow, Stephan Kindermann, Sujan Koirala, Llorenç Lledó, Quentin Lejeune, Valerio Lembo, Bill Little, Saskia Loosveldt-Tomas, Ruth Lorenz, Tomas Lovato, Valerio Lucarini, François Massonnet, Christian Wilhelm Mohr, Eduardo Moreno-Chamarro, Pandde Amarjiit, Núria Pérez-Zanón, Adam Phillips, Joellen Russell, Marit Sandstad, Alistair Sellar, Daniel Senftleben, Federico Serva, Jana Sillmann, Tobias Stacke, Ranjini Swaminathan, Verónica Torralba, Katja Weigel, Charles Roberts, Peter Kalverla, Sarah Alidoost, Stefan Verhoeven, Barbara Vreede, Stef Smeets, Abel Soares Siqueira, Rémi Kazeroni
License: Apache License, Version 2.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Hydrology
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
Provides-Extra: develop
Provides-Extra: doc
Provides-Extra: test
License-File: LICENSE
License-File: NOTICE

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- [**Documentation**](https://docs.esmvaltool.org/en/latest/)
- [**ESMValTool Website**](https://www.esmvaltool.org/)
- [**ESMValTool Tutorial**](https://esmvalgroup.github.io/ESMValTool_Tutorial/index.html)
- [**ESMValGroup Project on GitHub**](https://github.com/ESMValGroup)
- [**Gallery**](https://docs.esmvaltool.org/en/latest/gallery.html)
- [**`conda-forge` package feedstock**](https://github.com/conda-forge/esmvaltool-suite-feedstock)

# Introduction

ESMValTool is a community-developed climate model diagnostics and evaluation software package, driven
both by computational performance and scientific accuracy and reproducibility. ESMValTool is open to both
users and developers, encouraging open exchange of diagnostic source code and evaluation results from the
Coupled Model Intercomparison Project [CMIP](https://www.wcrp-climate.org/wgcm-cmip) ensemble. For a
comprehensive introduction to ESMValTool please visit our
[documentation](https://docs.esmvaltool.org/en/latest/introduction.html) page.

# Running esmvaltool

Diagnostics from ESMValTool are run using [recipe](https://docs.esmvaltool.org/en/latest/recipes/index.html)
files that contain pointers to the requested data types, directives for the preprocessing steps that data
will be subject to, and directives for the actual diagnostics that will be run with the now preprocessed data.
Data preprocessing is done via the [ESMValCore](https://docs.esmvaltool.org/projects/ESMValCore/en/latest/quickstart/index.html) package, a pure Python, highly-optimized scientific library, developed by the ESMValTool core developers,
and that performs a number of common analysis tasks
such as regridding, masking, levels extraction etc. [Diagnostics](https://docs.esmvaltool.org/en/latest/develop/diagnostic.html) are written in a variety of programming languages (Python, NCL, R, Julia) and are developed by the wider
scientific community, and included after a scientific and technical review process.

# Input data

ESMValTool can run with the following types of [data as input](https://docs.esmvaltool.org/en/latest/input.html):

- CMIP6
- CMIP5
- CMIP3
- [observational and re-analysis datasets](https://docs.esmvaltool.org/en/latest/input.html#supported-datasets-for-which-a-cmorizer-script-is-available)
- obs4MIPs
- ana4mips
- CORDEX ([work in progress](https://docs.esmvaltool.org/en/latest/input.html#cordex-note))

# Getting started

Please see [getting started](https://docs.esmvaltool.org/en/latest/quickstart/index.html) on readthedocs as well as [ESMValTool tutorial](https://esmvalgroup.github.io/ESMValTool_Tutorial/index.html). The tutorial is a set of lessons that together teach skills needed to work with ESMValTool in climate-related domains.

## Getting help

The easiest way to get help if you cannot find the answer in the documentation on [readthedocs](https://docs.esmvaltool.org), is to open an [issue on GitHub](https://github.com/ESMValGroup/ESMValTool/issues).

## Contributing

If you would like to contribute a new diagnostic or feature, please have a look at our [contribution guidelines](https://docs.esmvaltool.org/en/latest/community/index.html).
