Artificial Intelligence for Radar Poster Session

Thursday, 16 January 2025: 3:00 PM-4:30 PM
Hall C (New Orleans Ernest N. Morial Convention Center)
Host: 24th Conference on Artificial Intelligence for Environmental Science

Papers:
955
Investigating the Use of Machine Learning (ML) to Assess Tropospheric Doppler Radar Wind Profiler (TDRWP) Data Quality
Corey Dalke Walker, MSFC, Grant, AL

Handout (1.8 MB)

956
Development of AI-Based Nowcasting Model for Precipitation Using SimVP: Simpler yet Better Video Prediction Method and RADAR Data
Seong Hun Pyo, Korea Meteorological Administration, Seogwipo-si, Jeju, South korea; and H. Lee, K. Park, J. Cha, and Y. H. Baek

957
Precipitation Microphysics Retrieval from Polarimetric Weather Radar Data using Physically Constrained Machine Learning Techniques
Junho Ho, University of Oklahoma, Norman, OK; and G. Zhang, P. Liu, J. Gao, and C. H. Ho

958
Machine Learning for Hydrometeor Particle Identification Using Dual-Polarization Radar Observations
Songjian Tan, Colorado State University, Fort Collins, CO; and H. Chen and W. C. Lee

959
Enhancing Orographic Precipitation Nowcasting over the Santa Clara Valley Using Deep Learning
LIANGWEI WANG, Colorado State University, Fort Collins, CO; and H. Chen

960
Data Enhancement and High-Resolution Nowcasting for Single Solid-State Weather Radar
Matej Choma, Meteopress, Prague, Czech republic; and M. Murín, J. Bartel, and M. Troller

961
Classification of Non-meteorological Echoes from Dual Polarization Weather Radar Observations using Deep Learning Models
EunYeol Kim, Colorado State University, Fort Collins, CO; and S. Lim and V. Chandrasekar

- Indicates paper has been withdrawn from meeting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