2 papers
physics.ao-ph2026
Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss
Niraj Agarwal, Timothy A. Smith, Sergey Frolov +1
Machine learning emulators have shown extraordinary skill in forecasting atmospheric states, and their application to global ocean dynamics offers similar promise. Here, we adapt t…
physics.ao-ph2026
Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
Kelsey Lieberman, Laura Slivinski, Matt Bender +6
Satellite observation operators play an essential role in atmospheric data assimilation by translating model state variables into observation space. Previous work has shown that de…