Author

Hannah M. Christensen

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Preprint Aug 2026

How Do AI Climate Models Respond to Warming Across Climate Zones?

A Koppen-Geiger climate-zone decomposition is applied to AIMIP Phase 1 models under prescribed +4K SST forcing and their responses to physics-based AMIP models are compared, comparing baseline classification skill, per-zone responses in temperature, precipitation, and near-surface specific humidity, and the spatial str...

Charlotte Merchant, Milan Klöwer, Bradley Stanley-Clamp et al. · 1 citation · ⚡1

#explainable ai Open access Sep 2026

Unravelling the role of increased model resolution in simulating surface temperature fields using explainable AI

A convolutional neural network classifier combined with explainable AI is employed to assess the role of resolution in simulating winter surface temperature fields in an ensemble of 17 control climate simulations with varying oceanic and atmospheric resolutions, highlighting the central role of ocean resolution in shap...

Simon L. L. Michel, Kristian Strommen, J. Kröger et al. · Artificial Intelligence for... · 0 citations

Preprint Jul 2026

Spatial Generalization Tests for Machine Learning-based Weather Models to Assess Physical Consistency

It is argued that machine learning-based climate models should be designed to pass generalization tests to prevent overfitting on present-day regional climate.

Maren Höver, Milan Klöwer, Christian Schroeder de Witt et al. · 0 citations