Author

D. Rolnick

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#machine learning Sep 2026

RainAtlas: A Multi-Continental Dataset for Precipitation Downscaling

Extreme rainfall events are increasing in intensity and frequency as climate change accelerates. While kilometer-scale precipitation forecasts are critical for supporting local decision-making, the limited availability of high-resolution precipitation observations hinders their accuracy, especially in under-resourced r...

Pierre Lemaire, Luca Schmidt, Wietze Suijker et al. · arXiv.org · 0 citations

#machine learning Sep 2026

Learning Hierarchical Causal Representations of the Effects of Forcings on Temperature in Climate Models

A hierarchical causal representation learning framework applied to sea surface temperature fields from a state-of-the-art global climate model is developed that accurately predicts the long-term global mean and regional temperature evolution and shows physically realistic responses to perturbations in greenhouse gas an...

Shan Zhao, Ilija Trajković, Julia Kaltenborn et al. · arXiv.org · 0 citations