10 citations · 16 across the 3 of their papers we have counts for
3 papers
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Zhanxiang Hua, Ryan Sobash, David John Gagne +2
Improving the skill of medium-range (3-8 day) severe weather prediction is crucial for mitigating societal impacts. This study introduces a novel approach leveraging decoder-only t…
Improving ensemble extreme precipitation forecasts using generative artificial intelligence
Yingkai Sha, Ryan A. Sobash, David John Gagne
An ensemble post-processing method is developed to improve the probabilistic forecasts of extreme precipitation events across the conterminous United States (CONUS). The method com…
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
Yingkai Sha, Ryan A. Sobash, David John Gagne
An ensemble post-processing method is developed for the probabilistic prediction of severe weather (tornadoes, hail, and wind gusts) over the conterminous United States (CONUS). Th…