icclim

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icclim is a Python library to compute climate indices. icclim name stands for index, calculation, climate.

Installation

From pypi: pip install icclim.

From conda-forge: conda install -c conda-forge icclim.

From sources: - Clone the repository git clone https://github.com/cerfacs-globc/icclim.git - Install icclim python -m setup install

How to use icclim

Let's count the number of days above 25ºC for each year, which corresponds to the index SU, from a tasmax variable scattered in multiple netcdf files.

SU is one of the many index that can be computed with icclim. See the documentation <https://icclim.readthedocs.io/en/latest/explanation/climate_indices.html#icclim-capabilities>_ to explore what other index you can compute with icclim.

.. code-block:: python

import icclim
summer_days = icclim.su("netcdf_files/tasmax_1990-2100.nc", out_file="summer_days.nc")

For more examples on how to use icclim, see icclim's How to ... <https://icclim.readthedocs.io/en/latest/how_to/index.html>_ documentation or our notebooks <https://gitlab.com/is-enes-cdi-c4i/notebooks/-/tree/master/>_.

Who use icclim

icclim is part of C4I platform <https://dev.climate4impact.eu>_ backend and is integrated in CLIPC Portal <http://www.clipc.eu>_. icclim is also used by some independent researchers.

Who made icclim

icclim has always been an open source project and was successfully made thanks to the joint effort of all its contributors. The lead development is made at CERFACS <https://cerfacs.fr/en/>_, a research institution located in Toulouse, France.

Grants

This open-source project has been possible thanks to funding by the European Commission projects:
    - FP7-CLIPC (2013-2016)
    - FP7-IS-ENES2 (2013-2017)
    - EUDAT2020 (2015-2018)
    - H2020-IS-ENES3 (2019-2022)


Indices
-------
For a detailed description of each ECA&D index, please visit: https://www.ecad.eu/documents/atbd.pdf

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