2 papers
physics.ao-ph2026
Probabilistic reconstruction of global sea surface temperature using generative diffusion models
Haijie Li, Ya Wang, Kai Yang +11
Accurate reconstruction of global Sea surface temperature (SST), which dominates the air-sea coupling and global climate variability, underpins climate monitoring and prediction. E…
physics.ao-ph2026
Hierarchical Testing of a Hybrid Machine Learning-Physics Global Atmosphere Model
Ziming Chen, L. Ruby Leung, Wenyu Zhou +9
Machine learning (ML)-based models have demonstrated high skill and computational efficiency, often outperforming conventional physics-based models in weather and subseasonal predi…