TH1.R1.3
Improving Global Precipitation Forecast Using NASA IMERG in a Deep Learning Framework
Tianyi Xiong, Haonan Chen, Colorado State University, United States
Session:
TH1.R1: Advances in Spaceborne Radar Retrievals for Precipitation and Cloud Observations Oral
Track:
Atmosphere Applications
Location:
TBD
Presentation Time:
Thu, 13 Aug, 09:00 - 09:15
Presentation
Discussion
Resources
No resources available.
Session TH1.R1
TH1.R1.1: NASA Lightning Observations to Support Global Lightning Research
Geoffrey Stano, John Beck, Shannon Flynn, Navaneeth Selvaraj, Deepak Acharya, University of Alabama in Huntsville, United States
TH1.R1.2: Cross-validation of GPM DPR Hydrometeor Profiling Algorithm with EarthCARE CPR Radar
V. Chandrasekar, minda le, colorado state university, United States
TH1.R1.3: Improving Global Precipitation Forecast Using NASA IMERG in a Deep Learning Framework
Tianyi Xiong, Haonan Chen, Colorado State University, United States
TH1.R1.4: IMPROVEMENTS TO THE ONE-MINUTE PRECIPITATION RATE DATASET IN JAPAN AND EVALUATION OF THE GPM/DPR VERSION 08 ALGORITHM
Shinta Seto, Nagasaki University, Japan; Kosei Yamaguchi, Kyoto University, Japan; Nobuyuki Utsumi, Institute of Science Tokyo, Japan
TH1.R1.5: EVALUATION OF GCOM-C/SGLI CLOUD FLAG PRODUCT WITH SPACEBORNE CLOUD RADAR AND LIDAR IN NORTHERN HEMISPHERE HIGH LATITUDES
Toshiyuki Tanaka, Takuji Kubota, Kazuhisa Tanada, Japan Aerospace Exploration Agency, Japan; Takashi Y. Nakajima, Tokai University, Japan
Contacts