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

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

Let's count the number of days above 25°C 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 to explore what other index you can compute with icclim.

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 ... documentation or our notebooks.

icclim is part of C4I platform backend and is integrated in CLIPC Portal. icclim is also used by some independent researchers.

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, a research institution located in Toulouse, France.

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 (2019-2023)

The beautiful icclim logo is a creation of Carole Petetin and has been funded by the H2020 IS-ENES3 project grant agreement No 824084 (2019-2023).

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