2 papers
cs.LG2025
Power Ensemble Aggregation for Improved Extreme Event AI Prediction
Julien Collard, Pierre Gentine, Tian Zheng
This paper addresses the critical challenge of improving predictions of climate extreme events, specifically heat waves, using machine learning methods. Our work is framed as a cla…
physics.ao-ph2025
Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition
Jerry Lin, Zeyuan Hu, Tom Beucler +24
Subgrid machine-learning (ML) parameterizations have the potential to introduce a new generation of climate models that incorporate the effects of higher-resolution physics without…