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
06/2026
A little late on the announcements, but congratulations to Evan Sudler on their recent graduation from the School of Meteorology here at OU! Evan won’t be moving far, except to their own office in the building, as they continue their graduate work in the CHAOS group on machine learning for excessive rainfall.
Welcome back to Evan White who re-joined the group in May as a new PhD student working on subseasonal extreme predictions.
And a future welcome to incoming student Hannah Kostka who is joining the group this fall! Hannah graduated from Valpairaso University in May and will be doing their graduate studies on understanding extreme precipitation environments and dynamics.
Three new papers from the group - Brandon McClung published his dissertation work on medium-range lightning predictions; Russ Schumacher and Aaron published work on extreme precipitation analyses; and Evan Sudler had his work on evaluating AI weather predictions of Hurrican Helene published.
02/2026
Congratulations to Nathan Erickson, Hanna McDaniel, and Evan Sudler for winning presentation awards at the recent AMS Annual Meeting! The CHAOS group had over 10 presentations at the recent national meeting
In January, former undergraduate researcher Evan White had his work on postprocessing AI weather prediction models published in AIES - read more here!
Experience
Classes taught:
- METR 4970/5970: Numerical Weather Prediction (Fall 2025)
- METR 1313: Introduction to Programming for Meteorology (Spring 2024, 2025, 2026)
- METR 5970: AI for Environmental Science (Fall 2024, 2026)
Research Areas
Recent Publications
Recent Presentations
Full list of presentations here
Sudler, E., A. J. Hill, and C. R. Homeyer, 2026: ‘Cyclones Are Da Bomb!’ An Evaluation of North American Bomb Cyclogenesis Predictability with Machine Learning Weather Prediction Models. AI2ES Site-Wide Meeting, April 2026.
Hill, A. J. and R. S. Schumacher, 2026: Medium-Range Excessive Rainfall Prediction with Machine Learning. CIWRO/CIROH Workshop on the Hydrology-Meteorology Interface, Norman, OK.
Schumacher, R. S. and A. J. Hill, 2026: Eight years of hazardous convective weather predictions using machine learning in the US: what have we (and the machines) learned? EGU General Assembly 2026, Vienna, Austria.
Schumacher, R. S. and A. J. Hill, 2026: Mesoscale processes associated with extreme short-term precipitation in observations and the CONUS404 regional climate simulation. 17th International Conference on Mesoscale Convective Systems, Penghu, Taiwan.
Schumacher, R. S. and A. J. Hill, 2026: Eight years of hazardous convective weather predictions using machine learning in the US: what have we (and the machines) learned? 17th International Conference on Mesoscale Convective Systems, Penghu, Taiwan.
Shank, I. and A. J. Hill, 2026: Assessing Machine Learning Probabilistic Forecast Utility for Severe Weather Forecasting. 25th Annual Student Conference, Houston, TX.
Sudler, E., A. J. Hill, and C. R. Homeyer, 2026: Artificial Intelligence Weather Prediction Model Performance for Hurricane Helene (2024). 25th Conference on Artificial Intelligence for Environmental Science, Houston, TX.
Schumacher, R. S., A. J. Hill, A. J. Tomanek, and J. A. Smith, 2026: Extreme Short-Term Precipitation in Gridded Precipitation Analyses and the CONUS404 Regional Climate Simulation. 40th Conference on Hydrology, Houston, TX.
McDaniel, H. J. and A. J. Hill, 2026: An Assessment of Mesovortices in Quasi-Linear Convective Systems from 2013-2023 Using GridRad-Severe. 16th Conference on Transition of Research to Operations, Houston, TX.
Contact
- ahill@ou.edu
- 120 David L. Boren Blvd Suite 5900, Norman, OK 73072