Metadata-Version: 2.1
Name: ESMValCore
Version: 2.2.0
Summary: ESMValCore: A community tool for pre-processing data from Earth system models in CMIP and running analysis scripts.
Home-page: https://www.esmvaltool.org
Author: Bouwe Andela, Bjoern Broetz, Lee de Mora, Niels Drost, Veronika Eyring, Nikolay Koldunov, Axel Lauer, Valeriu Predoi, Mattia Righi, Manuel Schlund, Javier Vegas-Regidor, Klaus Zimmermann, Lisa Bock, Faruk Diblen, Laura Dreyer, Paul Earnshaw, Birgit Hassler, Bill Little, Saskia Loosveldt-Tomas, Stef Smeets, Jaro Camphuijsen, Bettina K. Gier, Katja Weigel, Mathias Hauser, Peter Kalverla, Evgenia Galytska, Pep Cos-Espuña, Inti Pelupessy, Sujan Koirala, Tobias Stacke, Sarah Alidoost, Martin Jury
License: Apache License, Version 2.0
Download-URL: https://github.com/ESMValGroup/ESMValCore
Description: # ESMValCore package
        
        [![Documentation Status](https://readthedocs.org/projects/esmvaltool/badge/?version=latest)](https://esmvaltool.readthedocs.io/en/latest/?badge=latest)
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        [![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/ESMValGroup?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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        [![Codacy Badge](https://app.codacy.com/project/badge/Coverage/5d496dea9ef64ec68e448a6df5a65783)](https://www.codacy.com/gh/ESMValGroup/ESMValCore?utm_source=github.com&utm_medium=referral&utm_content=ESMValGroup/ESMValCore&utm_campaign=Badge_Coverage)
        [![Codacy Badge](https://app.codacy.com/project/badge/Grade/5d496dea9ef64ec68e448a6df5a65783)](https://www.codacy.com/gh/ESMValGroup/ESMValCore?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=ESMValGroup/ESMValCore&amp;utm_campaign=Badge_Grade)
        [![Docker Build Status](https://img.shields.io/docker/cloud/build/esmvalgroup/esmvalcore)](https://hub.docker.com/r/esmvalgroup/esmvalcore/)
        [![Anaconda-Server Badge](https://anaconda.org/esmvalgroup/esmvalcore/badges/installer/conda.svg)](https://conda.anaconda.org/esmvalgroup)
        
        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](https://docs.esmvaltool.org/projects/esmvalcore/en/latest/quickstart/install.html)
        to get started.
        
        ## Using the ESMValCore package to run recipes
        
        The ESMValCore package provides the `esmvaltool` command, which can be used to run
        [recipes](https://docs.esmvaltool.org/projects/esmvalcore/en/latest/recipe/overview.html)
        for working with CMIP-like data.
        A large collection of ready to use
        [recipes and diagnostics](https://docs.esmvaltool.org/en/latest/recipes/index.html)
        is provided by the
        [ESMValTool](https://github.com/ESMValGroup/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](https://scitools-iris.readthedocs.io) for e.g. regridding,
            vertical interpolation, statistics, correcting (meta)data errors, extracting
            a time range, etcetera.
        
        read all about it in the
        [API documentation](https://docs.esmvaltool.org/projects/esmvalcore/en/latest/api/esmvalcore.html).
        
        ## 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/ESMValCore/issues).
        
        ## Contributing
        
        Contributions are very welcome, please read our
        [contribution guidelines](https://docs.esmvaltool.org/projects/ESMValCore/en/latest/contributing.html)
        to get started.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
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: test
