most citedPhysics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature

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physics.ao-ph2026

ClimTip-GML: A global bias-corrected and downscaled dataset for assessing impacts of climate tipping events

Philipp Hess, Sebastian Bathiany, Lucas Ferreira Correa +3

Assessing the impacts of future climate scenarios including tipping events of major Earth system components such as the Amazon rainforest (ARF) or the Atlantic meridional overturni…

physics.ao-ph2026

Flexible generation of daily Earth system model projections across radiative forcing scenarios

Yu Huang, Sebastian Bathiany, Shangshang Yang +3

Earth system model (ESM) projections of the climate system's response to anthropogenic forcing are central to assess the impacts of climate change and inform adaptation and mitigat…