Downscaling Multi-Model Climate Projection Ensembles with Deep Learning (DeepESD): Contribution to CORDEX EUR-44

This repository contains the material and guidelines to reproduce the results presented in the manuscript entitled Downscaling Multi-Model Climate Projection Ensembles with Deep Learning (DeepESD): Contribution to CORDEX EUR-44, submitted to Geoscientific Model Development journal (https://doi.org/10.5194/gmd-2022-57). Authors and corresponding ORCID can be found in the zenodo.json file.

2022_Bano_DeepESD_GMD.ipynb is a Jupyter notebook based on R containing the code necessary to replicate the results.

environment.yml contains the versions of the python and R libraries employed to reproduce the results of the manuscript. A conda environment with the appropriate versions can be created by typing:

mamba env create -n deep-esd --file environment.yml