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
Session:
FR1.R19: Artificial Intelligence for Active and Passive Remote Sensing of Precipitation Oral
Track:
Community Contributed Themes
Location:
Piscataway
Presentation Time:
Friday, 14 August, 09:15 - 09:30
Session Co-Chairs:
Yulan Hong, CISESS/Earth System Science Interdisciplinary Center, University of Maryland and Haonan Chen, Colorado State University and Yalei You, University of North Carolina Wilmington
Presentation
Discussion
Resources
No resources available.
Session FR1.R19
FR1.R19.1: Improving Operational Weather Radar Rainfall Mapping Using A Deep Learning Technique
Haonan Chen, Colorado State University; Luyao Sun, Sun Yat-Sen University
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
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
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
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; Huan Meng, NOAA/NESDIS/Center for Satellite Applications and Research (STAR); Yongzhen Fan, Jun Dong, CISESS/Earth System Science Interdisciplinary Center, University of Maryland; Tong Ren, Ping Yang, Texas A&M University
Resources
No resources available.