Aaron Hill presents at National Weather Association annual meeting

Postdoctoral fellow Aaron Hill was one of three invited speakers for the National Weather Association’s virtual annual meeting in September. Hill discussed the future of machine learning in operational forecasting of high-impact weather, citing a recently published article on forecasting severe weather hazards.

Hill has conducted extensive research in predictability of convection and targeted observing during his graduate research at Texas Tech University, and has participated in numerous large-scale field campaigns including VORTEX-SE and TORUS. In his work with Associate Professor Russ Schumacher’s group, Hill is advancing machine learning techniques to probabilistically forecast convection hazards, including extreme rainfall, severe wind, hail and tornadoes.

Hill serves as an associate editor for the journal Monthly Weather Review and is program chair for the next American Meteorological Society Weather Analysis and Forecasting/Numerical Weather Prediction conferences.