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physics.ao-ph2026
Bridging short- and medium-range weather forecasting with machine learning
Timothy A. Smith, Mariah Pope, Sergey Frolov +4
The National Oceanic and Atmospheric Administration (NOAA) employs independent prediction systems for distinct forecast products. While some separation is practical, we argue that…
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…