4 papers
Explainable Deep Learning for Probabilistic Nowcasting of Radar Reflectivity in Tornadic Storms
Nathan Erickson, Amy McGovern, Aaron Hill
Tornadoes pose substantial risk to human life and property in the United States, causing more than 50 fatalities and $100 million of property damage on average annually. When torn…
Diffusion-Based Rollouts as a Stabilization Mechanism for Long-Horizon Environmental Forecasting
Marina Vicens-Miquel, Amy McGovern, Aaron J. Hill +2
Extending forecast lead times while maintaining predictive skill remains a major challenge in environmental forecasting. We investigate diffusion-based rollouts as a stabilization…
Global Evaluation of AI and NWP Precipitation Forecasts During Atmospheric River Events
Marina Vicens-Miquel, Taylor Mandelbaum, Amy McGovern +2
Atmospheric rivers (ARs) produce many of the world's most extreme precipitation events and hydrometeorological hazards. Although artificial intelligence weather prediction (AIWP) m…
A Diffusion-Based Framework for High-Resolution Precipitation Forecasting over CONUS
Marina Vicens-Miquel, Amy McGovern, Aaron J. Hill +3
Accurate precipitation forecasting is essential for hydrometeorological risk management, especially for anticipating extreme rainfall that can lead to flash flooding and infrastruc…