FR1.R19: Artificial Intelligence for Active and Passive Remote Sensing of Precipitation
Oral
Fri, 14 Aug, 08:30 - 09:45
Location: TBD
Session Type: Oral
Track: Community Contributed Themes
Click the to view the manuscript on IEEE Xplore Open Preview
Fri, 14 Aug, 08:30 - 08:45

FR1.R19.1: Improving Operational Weather Radar Rainfall Mapping Using A Deep Learning Technique

Haonan Chen, Colorado State University, United States; Luyao Sun, Sun Yat-Sen University, China
Fri, 14 Aug, 08:45 - 09:00

FR1.R19.2: RAINFALL RETRIEVAL FROM CROSS TRACK PASSIVE MICROWAVE OBSERVATIONS USING A TRANSFORMER-BASED DEEP LEARNING FRAMEWORK

Mahyar Garshasbi, Buddha Subedi, Ardeshir Ebtehaj, University of Minnesota, United States
Fri, 14 Aug, 09:00 - 09:15

FR1.R19.3: GPTCAST-BASED RADAR NOWCASTING FOR HAILSTORM PREDICTION IN COLORADO AND WYOMING

V. Chandrasekar, Vishnu Charan Venkatesh, Chandrasekar Radhakrishnan, Sounak Biswas, Renzo Bechini, Colorado State University, United States
Fri, 14 Aug, 09:15 - 09:30

FR1.R19.4: Continual Learning for Multi-Domain Precipitation Retrievals Using Satellite Observations from the GOES-R Series

Yifan Yang, Haonan Chen, Colorado State University, United States
Fri, 14 Aug, 09:30 - 09:45

FR1.R19.5: The Effects of Ice Habit Models on Passive Microwave Snowfall Rate Retrievals

Yulan Hong, CISESS/Earth System Science Interdisciplinary Center, University of Maryland, United States; Huan Meng, NOAA/NESDIS/Center for Satellite Applications and Research (STAR), United States; Yongzhen Fan, Jun Dong, CISESS/Earth System Science Interdisciplinary Center, University of Maryland, United States; Tong Ren, Ping Yang, Texas A&M University, United States