J4A Deep Learning Methods and Applications for Improving Weather Forecasts II (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))

Monday, 13 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:
Huiling Yuan, Nanjing University, School of Atmospheric Sciences, Nanjing and Kaitlyn R. Jesmonth, SUNY Oswego, Oswego, NY

Papers:
4:30 PM
J4A.1
Leveraging Machine Learning to Improve Short-Term PQPF
Timothy Thielke, CIRES, Boulder, CO; NOAA, College Park, MD; and J. A. Nelson Jr.

4:45 PM
J4A.2
Improving Ensemble Extreme Precipitation Forecasts Using Generative Artificial Intelligence
Yingkai Sha, NCAR, Vancouver, BC, Canada; and R. A. Sobash and D. J. Gagne II

5:00 PM
J4A.3
Improving the Intense Rainfall Forecast with a Fusion Rain Network
Qi Zhong, China Meteorological Administration, Beijing, 11, China; and X. Yao

Handout (2.2 MB)

J4A.4
Predicting 60-Minute Hail Swaths Using Advanced Machine Learning Models on AWSSageMaker

5:30 PM
J4A.5
Quantifying the Value of Convection-Allowing Global-Nested Ensembles for Extended-Range Severe Weather Forecasting using Random Forests
Michael J. Hosek, Cooperative Institute for Severe and High Impact Weather Research and Operations (CIWRO), Norman, OK; National Severe Storms Laboratory, Norman, OK; University of Oklahoma, Norman, OK; and K. A. Hoogewind, A. J. Clark, L. M. Harris, K. Y. Cheng, and L. Zhou

5:45 PM
J4A.6
Improving Cloud Forecasts using AI-enhanced WRF
C. Lyn Comer, Northrop Grumman Corporation, Fairfax, VA; and B. D. Felton, M. E. Craddock, H. Kiley, and C. Wiley

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- Indicates paper has been withdrawn from meeting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