spateGAN: Spatio‐Temporal Downscaling of Rainfall Fields Using a cGAN Approach

Abstract Climate models face limitations in their ability to accurately represent highly variable atmospheric phenomena. To resolve fine‐scale physical processes, allowing for local impact assessments, downscaling techniques are essential. We propose spateGAN, a novel approach for spatio‐temporal do...

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Bibliographic Details

Published in:	Earth and Space Science
Main Authors:	Luca Glawion, Julius Polz, Harald Kunstmann, Benjamin Fersch, Christian Chwala
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2023-10-01
Subjects:	downscaling deep learning weather radar hydrometeorology super resolution precipitation
Online Access:	https://doi.org/10.1029/2023EA002906