J15A Deep learning methods and applications for improving weather forecasts IV (Joint between the 24th Conference on Artificial Intelligence for Environmental Science and the 33rd Conference on Weather Analysis and Forecasting (WAF)/29th Conference on Numerical Weather Prediction (NWP))

Thursday, 16 January 2025: 1:45 PM-3:00 PM

339 (New Orleans Ernest N. Morial Convention Center)

Host: 24th Conference on Artificial Intelligence for Environmental Science

CoChair:

Haonan Chen, Cooperative Institute for Research in the Atmosphere (CIRA), Boulder, CO

Papers:

1:45 PM

J15A.1

A Convection-Permitting Reforecast for Training High-Resolution Deep Learning Numerical Weather Prediction

Thomas M. Hamill, The Weather Company, Boulder, CO; and P. Neilley, K. Kashinath, R. R. P. Kumar, M. S. Pritchard, T. Ge, C. Ponder, A. Subramaniam, J. Pathak, S. Posey, J. Wong, B. Wilt, and Q. Kanchwala

2:00 PM

J15A.2

UT-MeteoGAN: A Next-Generation AI Model for High-Resolution Numerical Weather Prediction

Manmeet Singh, The University of Texas at Austin, Austin, TX; and N. Sudharsan, PhD, H. Kamath, V. SB, H. Dashtian, A. Patel, A. Chavoshi, C. Dawson, M. Young, Z. L. Yang, and D. Niyogi

2:15 PM

J15A.3

Connecting Global to Local Systems: Multi-Resolution Weather Modeling Using a Foundation Model for Data Assimilation

Kate Duffy, Zeus AI, Cambridge, MA; and T. Vandal and Y. Nachmany

J15A.4

Leveraging Transfer Learning on GraphCast to Improve GFS Forecasts

2:45 PM

J15A.5

Evaluating the Predictions of Horn of Africa 2020-2022 Drought by GraphCast

Zheng Wu, SUNY Albany, Albany, NY

Recorded Presentation

- Indicates paper has been withdrawn from meeting

- Indicates an Award Winner

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