Biography
Dr. Aaron Hill is a professor of meteorology in the School of Meteorology at the University of Oklahoma. His research interests include weather forecasting, data assimilation, numerical weather prediction, predictability of severe convective weather, artificial intelligence and machine learning, Python programming, innovative observing systems, and operational weather forecasting tools. Dr. Hill leads the CHAOS research group which specializes in Convection and weather Hazards with Artificial intelligence, Observations, and Simulations. The group is currently involved in developing machine learning tools for high-impact weather forecasting, exploring predictability of storms in warming climates, and understanding the dynamics of tornadogenesis in Quasi-Linear Convective Systems. Interested in joining the CHAOS group? Contact Dr. Hill: ahill@ou.edu
- Numerical Weather Prediction and Weather Forecasting
- Artificial Intelligence, Machine Learning, and Data Science
- Severe Storm Dynamics
PhD in Geosciences, 2019
Texas Tech University
MS in Atmospheric Science, 2014
Texas Tech University
BS in Atmospheric Science; Minor in Applied Mathematics, 2012
University of Washington
Group Announcements
04/25/2025
Welcome Mandy Voth and Braelyn Long to the group, two new undergraduate researchers! Both will be working on understanding the environmental evolution preceeding tornadogenesis with QLCS mesovortices.
01/08/2025
Some overdue announcements…the CHAOS group welcomed Rebecca Oh and Evan White to the group this fall as undergraduate researchers! Rebecca is working on a project to understand how climate change impacts severe storm predictability while Evan is researching how to apply AI postprocessing techniques to global AI weather models to produce hazardous weather forecasts.
Dr. Hill presented some of Evan White’s early postprocessing work at the Severe Local Storms conference this past October in Virginia Beach, and will follow that up with a presentation at the AMS Annual Meeting in January.
Dr. Hill mentored a Senior Capstone group this fall and they successfully presented their work showcasing an AI application to predict updraft strenghthening in supercells - congrats Gabriel, Andrew, Victor, and Evan!
Dr. Hill also attended the AGU Fall Meeting, giving a presentation on how AI can improve impact-based decision support services, and he visited the Texas A&M Department of Atmospheric Sciences this fall for their Colloquium series.
Finally, a number of members of the CHAOS group will be presenting their work at the AMS annual meeting in New Orleans.
07/08/2024
Welcome Evan Sudler to the research group! Evan is pursuing his B.S. degree in Meteorology in the School of Meteorology at OU. Evan will be working on evaluating the skill of global AI-based weather forecast models for high-impact weather.
Experience
Classes taught:
- METR 1313: Introduction to Programming for Meteorology (Spring 2024, 2025)
- METR 5970: AI for Environmental Science (Fall 2024)
Research Areas
Recent Publications
Recent Presentations
Full list of presentations here
McClung, B. T., D. Schvartzman, A. J. Hill, M. Stock, and A. McGovern, 2025: BoltCast: Deep Learning for Long Term Lightning Prediction. 12th Conference on the Meteorological Application of Lightning Data, New Orleans, LA.
Clark, A., A. J. Hill, K. Hoogewind, A. Berrington, and E. Loken, 2025: Extended range machine-learning severe weather guidance based on the operational GEFS. 33rd Conference on Weather Analysis and Forecasting, New Orleans, LA.
Erickson, N., A. McGovern, and A. J. Hill, 2025: Deep Learning for Short-Term Characterization of Tornado Intensity. 24th Conference on Artificial Intelligence for Environmental Science, New Orleans, LA.
Hill, A. J., D. J. Bodine, S. M. Cavallo, B. G. Ilston, Z. J. Lebo, and D. Schvartzman, 2025: Preparing the Next Generation of Meteorological Data Scientists: Redesigning Curricula for Student Success. 34th Conference on Education, New Orleans, LA.
Hill, A. J., E. White, and J. Radford, 2025: An AI-Machine Learning Probabilities (AI-MLP) Forecast System for Hazardous Weather Prediction. 33rd Conference on Weather Analysis and Forecasting, New Orleans, LA.
Hill, A. J. and R. S Schumacher, 2025: Machine Learning Probability Ensembles for Medium-Range Excessive Rainfall Prediction. 24th Conference on Artificial Intelligence for Environmental Science, New Orleans, LA.
Madsen M., A. McGovern, D. Harrison, A. Clark, M. Baldwin, S. Ernst, J. T. Ripberger, and A. J. Hill, 2025: Perceptions and Performance of Global AI Models in the 2024 NOAA Hazardous Weather Testbed. 24th Conference on Artificial Intelligence for Environmental Science, New Orleans, LA.
Schumacher, R. S. and A. J. Hill, 2025: Quality-controlled databases of US extreme rainfall events based on gridded precipitation estimates and convection-permitting model output. 39th Conference on Hydrology, New Orleans, LA.
Contact
- ahill@ou.edu
- 120 David L. Boren Blvd Suite 5900, Norman, OK 73072