Geoscientific Model Development
Geoscientific Model Development
Geoscientific Model Development
Articles | Volume 15, issue 17
Articles | Volume 15, issue 17
Geosci. Model Dev., 15, 6747–6758, 2022
https://doi.org/10.5194/gmd-15-6747-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 15, 6747–6758, 2022
https://doi.org/10.5194/gmd-15-6747-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 17
Model evaluation paper
06 Sep 2022
Model evaluation paper | 06 Sep 2022

Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44

Jorge Baño-Medina et al.

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Short summary
Deep neural networks are used to produce downscaled regional climate change projections over Europe for temperature and precipitation for the first time. The resulting dataset, DeepESD, is analyzed against state-of-the-art downscaling methodologies, reproducing more accurately the observed climate in the historical period and showing plausible future climate change signals with low computational requirements.
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