Session 16 Forecasting High-Impact Weather with Artificial Intelligence: Applications for Precipitation and Global Weather

Thursday, 20 July 2023: 4:15 PM-5:30 PM
Madison Ballroom A (Monona Terrace)
Host: 32nd Conference on Weather Analysis and Forecasting
Cochairs:
Clark Evans, UW-Milwaukee, Milwaukee, WI and Kathryn Newman, NCAR, RAL/DTC, Boulder, CO

Papers:
4:15 PM
16.1
How Far into the Medium Range Can Probabilistic Excessive Rainfall Forecasts be Extended?
Russ S. Schumacher, Colorado State Univ., Fort Collins, CO; and A. J. Hill and M. Klein

4:30 PM
16.2
How Long of an Observational Record Is Needed for Skillful ML-Based Forecasts of Excessive Rainfall?
Aaron J. Hill, Colorado State Univ., Fort Collins, CO; and R. S. Schumacher

4:45 PM
16.3
Testing Random Forests for Prediction of Excessive Rainfall Based on the High-Resolution Rapid Refresh (HRRR)
Eric P. James, GSD, Boulder, CO; and R. S. Schumacher and A. J. Hill

5:00 PM
16.4
Development of a Convolutional Neural Network to Predict Wintertime Orographic Precipitation Gradients of the Western US
Savanna Wolvin, Univ. of Utah, Salt Lake City, UT; and C. Strong, S. Brewer, J. Steenburgh, and S. Rupper

5:15 PM
16.5
Impacts of Machine Learning for Targeted Observation Thinning in Satellite Data Assimilation
Kirana Olympia Bergstrom, CIRES, Boulder, CO; CIRES, Boulder, CO; and C. E. Kumler, I. Jankov, and J. Q. Stewart

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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