Topic: Data-Driven Weather Modeling III: Evaluation and Validation (105th AMS Annual Meeting)

Tuesday, 14 January 2025: 4:30 PM-6:00 PM

339 (New Orleans Ernest N. Morial Convention Center)

Host: 24th Conference on Artificial Intelligence for Environmental Science

Cochairs:

Daniel Alexander Rothenberg; Christina E. Kumler, CIRA, Boulder, CO and Thomas M. Hamill

Papers:

4:30 PM

8A.1

Perceptions and Performance of Global AI Models in the 2024 NOAA Hazardous Weather Testbed

Maria M. Madsen, University of Oklahoma, Norman, OK; NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography Univ. of Oklahoma (AI2ES), Norman, OK; AI2ES & University of Oklahoma, Norman, OK; and A. McGovern, A. J. Hill, J. Ripberger, D. R. Harrison, A. J. Clark, S. R. Ernst, and M. E. Baldwin

4:45 PM

8A.2

Assessing Subseasonal Predictions Above Lower Troposphere of GraphCast

Zheng Wu, SUNY Albany, Albany, NY

5:00 PM

8A.3

Tropical Cyclones and Low-Frequency Variability in Coupled Atmosphere-Ocean Simulations with a Parsimonious Deep Learning Model

Dale R. Durran, Univ. of Washington, Seattle, WA; and B. Liu, N. A. Cresswell-Clay, and Z. Liu

5:15 PM

8A.4

Are AI Data-Driven Weather Models Learning Atmospheric Physics? Initial Condition Sensitivity Analysis of Cyclone Xynthia.

Jorge Luis Bano Medina, SIO, San Diego, CA; and A. Sengupta, J. D. Doyle, C. A. Reynolds, D. Watson-Parris, and L. Delle Monache