FRP1.PF.4
Deep Learning Based Polarimetric Radar Quantitative Precipitation Estimation Using Three-Dimensional Radar Observations
Yudhistar Sai Puram, V. Chandrasekar, Colorado State University, United States
Session:
FRP1.PF: Clouds and Precipitation Poster
Track:
Atmosphere Applications
Location:
TBD
Presentation Time:
Fri, 14 Aug, 09:45 - 11:00
Presentation
Discussion
Resources
No resources available.
Session FRP1.PF
FRP1.PF.1: VALIDATION OF TDR AND IWRAP DOPPLER WIND PROFILES DURING THE 2024 ATLANTIC HURRICANE SEASON
Casey Shoup, Joseph W. Sapp, Zorana Jelenak, Paul S. Chang, National Oceanic and Atmospheric Administration, United States
FRP1.PF.2: TRANSFORM-INDUCED TENSOR NETWOK DECOMPOSITION FOR CLOUD REMOVAL
Bin Xiao, Rui Wang, Yu-le Wei, Yu-Bang Zheng, Heng-Chao Li, Southwest Jiaotong University, China
FRP1.PF.3: MACHINE LEARNING FOR PASSIVE MICROWAVE SNOWFALL REGIME CLASSIFICATION: REGIONAL AND GLOBAL ANALYSIS
Lisa Milani, Veljko Petkovic, University of Maryland, United States
FRP1.PF.4: Deep Learning Based Polarimetric Radar Quantitative Precipitation Estimation Using Three-Dimensional Radar Observations
Yudhistar Sai Puram, V. Chandrasekar, Colorado State University, United States
FRP1.PF.5: PRECIPITATION-TO-PRECIPITATION TRANSLATION VIA DEEP LEARNING FOR IMPROVING SATELLITE PRECIPITATION PRODUCTS
Liping Wang, Haonan Chen, Colorado State University, United States; Pingping Xie, Janice Bytheway, NOAA, United States
Contacts