3 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-ph2025
HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
Daniel Abdi, Isidora Jankov, Paul Madden +5
The High-Resolution Rapid Refresh (HRRR) model is a convection-allowing model used in operational weather forecasting across the contiguous United States (CONUS). To provide a comp…
physics.ao-ph2024
Assimilating Observed Surface Pressure into ML Weather Prediction Models
Laura C. Slivinski, Jeffrey S. Whitaker, Sergey Frolov +2
There has been a recent surge in development of accurate machine learning (ML) weather prediction models, but evaluation of these models has mainly been focused on medium-range for…