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Diffusion-based Rollouts as a Stabilization Mechanism for Long-Horizon Environmental Forecasting

M. Vicens-Miquel, A. McGovern, Aaron Hill

Explainable Deep Learning for Probabilistic Nowcasting of Radar Reflectivity in Tornadic Storms

Nathan Erickson, A. McGovern, Aaron Hill

Artificial Intelligence Weather Prediction Model Performance for Hurricane Helene (2024)

E. E. Sudler, Aaron Hill, C. R. Homeyer

Extreme precipitation in the contiguous US in gridded analyses and a convection-permitting model simulation

R. Schumacher, Aaron Hill

BoltCast, Medium-range Lightning Prediction with Neural and Long-Short Term Memory Networks

B. McClung, A. McGovern, Aaron Hill, D. Schvartzman, M. Stock

A Diffusion-Based Framework for High-Resolution Precipitation Forecasting over CONUS

M. Vicens-Miquel, A. McGovern, Aaron Hill, E. Fourfoula-Georgiou, C. Guilloteau, S. P. Shen

A Novel Approach Heat Risk Analysis Using ML and URMA, Nocturnal Trends in Houston TX during the 2022 TRACER

E. Spicer, P. Klein, Aaron Hill, C. Wang

Severe weather forecasts from artificial intelligence weather prediction models

E. White, Aaron Hill

Extended range machine-learning severe weather guidance based on the operational GEFS

A. J. Clark, K. A. Hoogewind, Aaron Hill, E. D. Loken

Can Ingredients-Based Forecasting be Learned? Disentangling a Random Forest's Severe Weather Predictions

Alexandra C. Mazurek, Aaron Hill, Russ S. Schumacher, Hanna J. McDaniel