Session 1A Pure AI and Data-Driven Weather Forecasts I: Innovative Model Architectures and Applications

Monday, 29 January 2024: 8:30 AM-10:00 AM
345/346 (The Baltimore Convention Center)
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Cochairs:
Christina E. Kumler, CIRA, Boulder, CO and Daniel Rothenberg

Papers:
8:30 AM
1A.1
Evaluation of Data-Driven Medium Range Weather Prediction Using Reanalysis Data
Shun Yao, Colorado State University, Fort Colins, CO; and H. Chen, J. Tang, PhD, and V. Chandrasekar

8:45 AM
1A.2
High-Frequency Nowcasting from Geostationary Satellites with End-to-End Emulation
Thomas J Vandal, Zeus AI, Arlington, MA; and K. Duffy and D. McDuff

9:00 AM
1A.3
WeatherX: Learning to Forecast Diagnostic Parameters Using Dense Representations
Peetak Mitra, Excarta, San Francisco, CA; and V. Ramavajjala

9:15 AM
1A.4
Using Deep Learning for Coupled Atmosphere-Ocean Modelling
Nathaniel Alize Cresswell-Clay, University of Washington, Seattle, WA

9:30 AM
1A.5
Improving Deep Learning Weather Prediction Using the HEALPix Mesh
Dale R. Durran, Univ. of Washington, Seattle, WA; and M. Karlbauer, N. A. Cresswell-Clay, R. A. Moreno, T. Kurth, M. Bisson, and M. V. Butz

9:45 AM
1A.6
Huge Ensembles (HENS) of Weather Extremes using the Fourier Forecasting Neural Network (FourCastNet)
William D. Collins, LBNL, BERKELEY, CA; and A. Mahesh, M. Pritchard, N. D. Brenowitz, Y. Cohen, P. Harrington, K. Kashinath, T. A. O'Brien, J. Pathak, and S. Subramanian

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- Indicates paper has been withdrawn from meeting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