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https://github.com/CliMT/climt

The official home of climt, a Python based climate modelling toolkit.
https://github.com/CliMT/climt

atmospheric-modelling climate-model python

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The official home of climt, a Python based climate modelling toolkit.

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README 

        
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climt

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.. image:: https://img.shields.io/pypi/v/climt.svg

    :target: https://pypi.python.org/pypi/climt

    :alt: PyPI



.. image:: https://img.shields.io/travis/climt/climt.svg

    :target: https://travis-ci.org/climt/climt

    :alt: Continuous Integration



.. image:: https://ci.appveyor.com/api/projects/status/h9ayx22cxyfwh5rh?svg=true

    :target: https://ci.appveyor.com/project/JoyMonteiro/climt

    :alt: Continuous Integration



.. image:: https://img.shields.io/codecov/c/github/climt/climt.svg

    :target: https://travis-ci.org/climt/climt

    :alt: Coverage



.. image:: https://readthedocs.org/projects/climt/badge/

    :target: https://climt.readthedocs.io/en/latest/?badge=latest

    :alt: Documentation Status



.. image:: https://zenodo.org/badge/74854230.svg

    :target: https://zenodo.org/badge/latestdoi/74854230

    :alt: Zenodo DOI



.. image:: ./docs/climt_logo.jpg

    :height: 512px

    :width: 512px

    :align: center



**climt** is a Toolkit for building Earth system models in Python. climt stands for *Climate Modelling

and Diagnostics Toolkit* -- it is meant both for creating models and for generating diagnostics

(radiative fluxes for an atmospheric column, for example). However, since it might eventually

include model components for purposes other than climate modelling (local area models, large-eddy

simulation), we prefer to keep the abbreviation un-expanded!



climt hopes to enable researchers to easily perform online analysis and make

modifications to existing models by increasing the ease with which models

can be understood and modified. It also enables educators to write

accessible models that serve as an entry point for students into Earth

system modeling, while also containing state-of-the-art components.



Initially climt contains only components for the atmosphere, and does not yet

include a coupler. But there are plans to extend climt to a fully coupled Earth

system model in the future. The toolkit is also written in such a way that it

could enable the development of non-climate models (e.g. weather prediction,

large-eddy simulation). To do so requires only that the prognostic and

diagnostic schemes are wrapped into the correct Python-accessible interface.



climt builds on sympl_, which provides the base classes and  array and constants handling

functionality. Thanks to sympl_ and Pint_, climt is also a fully units aware model. It is

useful to know how sympl_ works to use climt better. Read more about sympl_ at

https://sympl.readthedocs.io.



* Free software: BSD license

* Documentation: https://climt.readthedocs.io.



Installation

-------------



Note - The GFS dynamical core has been made into a seperate package called 

gfs_dynamical_core_ for ease of maintenance. If you need the dynamical core, 

please install this package from source or directly using pip. Doing this will

automatically install climt as well.



    pip install gfs_dynamical_core



climt can be installed directly from the python package index using pip.



    pip install climt



should work on most systems. From version 0.9.2 onwards, this command will

install binary wheels, eliminating the requirement of a compiler on your

system.



Detailed instructions for Mac and Linux systems are available in the `documentation`_.



Features

--------



* climt is fully units-aware!

* Uses the xarray_ `DataArray` abstraction to build self describing model arrays. 

* Provides different levels of abstraction towards building a climate model.

* Like sympl_, climt consciously uses descriptive names in the user API to ensure

  model scripts are self-documenting.

* Allows for quick prototyping of earth system model components.

* Provides a clean and convenient interface to add new components.



Citing climt

------------



If you use climt in your research, please cite the following paper documenting sympl_ and climt



    https://www.geosci-model-dev.net/11/3781/2018/



Credits

-------



This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.



.. _Cookiecutter: https://github.com/audreyr/cookiecutter

.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

.. _sympl: https://github.com/mcgibbon/sympl

.. _Pint: https://pint.readthedocs.io

.. _xarray: http://xarray.pydata.org

.. _documentation: http://climt.readthedocs.io/en/latest/installation.html

.. _gfs_dynamical_core: https://github.com/Ai33L/gfs_dynamical_core