Session 16A Pure AI and Data-Driven Weather Forecasts III: Operations and Applications with AI Forecast Models

Thursday, 1 February 2024: 4:30 PM-6:00 PM
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:
4:30 PM
16A.1
Operational Data-Driven Monthly Forecasting at Microsoft
Jonathan A Weyn, Microsoft, Redmond, WA; and D. Kumar, S. Klocek, N. Kazmi, R. Zhang, P. Luferenko, and K. Thambiratnam

4:45 PM
16A.2
An Operational, Purely Data-Driven Seasonal Forecast System
Benjamin A. Toms, Intersphere, Fort Collins, CO; and J. Antic and J. Cahill

5:00 PM
16A.3
Harnessing Data-driven Neural Weather Models for Climate Attribution: A Case Study of the Oroville Dam Atmospheric River Episode of February 2017
Jorge Luis Bano Medina, SIO, San Diego, CA; Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, Univ. of California, San Diego, La Jolla, CA; and A. Sengupta, L. Delle Monache, W. Hu, and D. Watson-Parris

5:15 PM
16A.4
Exploring the Potential of Data-Driven AI Models for Operational Weather Forecasting in Finland
Leila Hieta, Finnish Meteorological Institute, Helsinki, Finland; and M. Partio, M. Rauhala, and T. Riihisaari

5:30 PM
16A.5
Regional Down-Scaling with Generative Diffusion Models
Noah D. Brenowitz, NVIDIA, Seattle, WA; and M. Mardani, Y. Cohen, J. Pathak, J. Chen, A. Vahdat, K. Kashinath, J. Kautz, and M. Pritchard

5:45 PM
16A.6
Rapid Update Nowcasting with AI fusion of NWP and Other Data Sources
Matej Murín, Meteopress, Prague, Czech republic; and M. Choma, J. Bartel, M. Troller, P. Šimánek, and M. Najman

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- Indicates paper has been withdrawn from meeting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