2 citations · 5 across the 4 of their papers we have counts for
4 papers
Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System
Montgomery Flora, Samuel Varga, Corey Potvin +1
While machine learning (ML) post-processing of convection-allowing model (CAM) output for severe weather hazards (large hail, damaging winds, and/or tornadoes) has shown promise fo…
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…
Pixels and Predictions: Potential of GPT-4V in Meteorological Imagery Analysis and Forecast Communication
John R. Lawson, Joseph E. Trujillo-Falcón, David M. Schultz +5
Generative AI, such as OpenAI's GPT-4V large-language model, has rapidly entered mainstream discourse. Novel capabilities in image processing and natural-language communication may…
Machine Learning Estimation of Maximum Vertical Velocity from Radar
Randy J. Chase, Amy McGovern, Cameron Homeyer +2
The quantification of storm updrafts remains unavailable for operational forecasting despite their inherent importance to convection and its associated severe weather hazards. Updr…