CondensNet: A Physically-Constrained Hybrid Deep Learning Model for Stable Long-Term Climate Simulations

Xin Wang, Jianda Chen, Juntao Yang, Jeff Adie, Simon See, Kalli Furtado, Chen Chen, Troy Arcomano, Romit Maulik, Wei Xue, Gianmarco Mengaldo

Keywords: AI for Climate, Climate modeling, Interpretability

TL;DR: CondensNet is a hybrid deep learning general circulation model that improves climate modeling by enforcing physical constraints on water vapor condensation, delivering both stability and computational efficiency.

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Submission Number: 132