Topic: Deep Learning Methods and Applications for Improving Weather Forecasts I (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)) (105th AMS Annual Meeting)

Monday, 13 January 2025: 8:30 AM-10:00 AM

339 (New Orleans Ernest N. Morial Convention Center)

Host: 24th Conference on Artificial Intelligence for Environmental Science

Cochairs:

Haonan Chen, Cooperative Institute for Research in the Atmosphere (CIRA), Boulder, CO and Aaron J. Hill, Colorado State University, Atmospheric Science, Fort Collins, CO

Papers:

8:30 AM

J1A.1

Toward Integration of Artificial Intelligence to Improve Operational Data Assimilation for Numerical Weather Prediction

Daryl T. Kleist, NOAA/NWS/NCEP/EMC, College Park, MD; and R. Treadon, G. Vernieres, H. E. Liu, D. Holdaway, B. Hoover, A. Gholoubi, X. Tian, X. C. Jin, and M. Rancic

8:45 AM

J1A.2

Initializing a Numerical Weather Model with Neural Network Data Assimilation

Otavio Medeiros Feitosa, INPE, São José dos Campos, SP, Brazil; INPE, São José dos Campos - SP, SP, Brazil; and S. Freitas, H. F. D. C. Velho, and A. D. Chovert

9:00 AM

J1A.3

Applying Deep-Learning Technologies for Km-Scale Data Assimilation and LES Downscaling

Yubao Liu, NUIST, Nanjing, Jiangsu, China; and H. Fan and X. Wang

9:15 AM

J1A.4

Optimal Forecasts of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis

Gregory J. Hakim, University of Washington, Seattle, WA; University of Washington, Seattle, WA; and P. T. Vonich

9:30 AM

J1A.5