Session J16C Towards Operationalizing AI/ML Weather Forecast and Decision Support Products IV

Thursday, 1 February 2024: 4:30 PM-6:00 PM
327 (The Baltimore Convention Center)
Host: 14th Conference on Transition of Research to Operations
Cochairs:
David Bludis, NESDIS, GOES-R, Greenbelt, MD and Martin Yapur, 1970, NOAA, Silver Spring, MD

Papers:
4:30 PM
J16C.1
Lessons Learned from Building Real-Time Machine Learning Testbeds for AI2ES
David John Gagne II, Ph.D., NCAR MILES, Boulder, CO; and J. K. Williams, J. Q. Stewart, J. Demuth, P. E. Tissot, A. Kurbanovas, S. Nguyen, A. D. Justin, J. T. Radford, C. D. Wirz, C. Becker, G. Gantos, T. Martin, W. Petzke, E. P. Grimit, K. T. Hoffman, A. J. Hill, A. B. Schumacher, K. Musgrave, and A. McGovern

4:45 PM
J16C.2
Lessons Learned From Building And Operationalizing ML Weather Prediction Models
Vivek Ramavajjala, Excarta Inc., San Carlos, CA

Handout (2.3 MB)

5:00 PM
J16C.3
An Improved Deep Learning Algorithm for Operational Detection of Frontal Boundaries
Andrew Douglas Justin, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), Norman, OK; and A. McGovern, J. T. Allen, and J. K. Williams

5:15 PM
J16C.4
Semi-Automating Research-to-Operation of AI Models with Python
Matthew Aiden Kastl, Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and F. Tissot, S. Nguyen, S. A. King, and P. E. Tissot

5:30 PM
J15C.5
When Do Machine Learning Forecasts Succeed and Fail? Evaluating Synoptic Regimes Associated With a Random Forest's Good and Bad Severe Weather Predictions
Alexandra Mazurek, Colorado State Univ., Fort Collins, CO; and R. S. Schumacher and A. J. Hill

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- Indicates paper has been withdrawn from meeting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