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This project aims at using the APRP method, developed in Taylor, K. E. and al. (2007) (doi:10.1175/JCLI4143.1) and Zelinka, M. D., T. Andrews, P. M. Forster, and K. E. Taylor, 2014 (doi:10.1002/2014JD021710), on the Arctic for an ensemble CMIP6 model.

Tools facilitating the manipulation and loading of data from different sources and different domains.

Lustre V6 compiler

see https://gates-data-shs.gricad-pages.univ-grenoble-alpes.fr/blog

VPL Question plugin for Moodle.

This project holds a raw jupyter notebook, to be filled with user-defined parameters and options, to download CMIP6 data through a csv file. It was done thanks to the intake-esgf python module : https://intake-esgf.readthedocs.io/en/latest/. It is associated to an utilitary package that can be found on pypi. The development of this package is done within this repository.

Many options are available to preprocess the data and improve the output of the intake-esgf catalog.

Feel free to contact me or to raise issues !

This project is aiming at handling an utility package for importing CMIP6 data in a jupyter notebook.