Article

The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming

2025-10-03

Abstract excerpt

<title>Abstract</title> <p>Machine learning models for the global atmosphere that are capable of producing stable, multi-year simulations of Earth’s climate have recently been developed. However, the ability of these ML models to generalize beyond the training distribution remains an open question. In this study, we evaluate the climate response of several state-of-theart ML models (ACE2-ERA5, NeuralGCM, and cBot...

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Literature Corpus work: b2bf97e9-63a7-5642-8bd1-1124d04a7cdf
DOI: 10.21203/rs.3.rs-7766652/v1

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