Topic: Artificial Intelligence for Radar (105th AMS Annual Meeting)

Thursday, 16 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

Submitters:

Kyle A. Hilburn; Christina E. Kumler, CIRA, Boulder, CO and Tiago Quintino, ECMWF, Forecast Department, Reading

Cochairs:

Kyle A. Hilburn; Waylon G. Collins, National Weather Service, Corpus Christi, TX and Randy J. Chase

As an active sensing technology, radar observations provide uniquely valuable information about the atmosphere. For example, radar is a primary source of information about severe weather and precipitation. This session seeks contributions related to applications of artificial intelligence to radar data.

Papers:

8:30 AM

13A.1

Spatiotemporal Tornadic Prediction With Recurrent Neural Networks

Brian Popick, Air Force Institute of Technology, Wright-Patterson AFB, OH; and K. Fitch, C. Johnstone, B. Cox, and N. Gaw

8:45 AM

13A.2

Utilizing Deep Neural Networks for Short-Term Tornado Prediction and Detection using Multi-Modal Datasets

Mark Sanford Veillette, MIT Lincoln Laboratory, Lexington, MA; and J. M. Kurdzo and T. Reis

9:00 AM

13A.3

Exploring a simple CNN/RNN for radar nowcasting in memory-constrained environments