2 citations · 2 across the 4 of their papers we have counts for
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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…
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…
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…
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…