FRP2.PJ.10
TOWARD SPECTRALLY INTEGRATED WATER CLOUD-PRECIPITATION RETRIEVALS WITH HYPERSPECTRAL MICROWAVE RADIOMETERS
Ines Fenni, Jet Propulsion Laboratory, United States; Kwo-Sen Kuo, University of Maryland, United States
Session:
FRP2.PJ: Precipitation and Clouds III Poster
Track:
Atmosphere Applications
Location:
Plaza Ballroom: Poster Area J
Presentation Time:
Friday, 8 August, 14:30 - 15:45
Session Chair:
Jieying He, National Space Science Center, Chinese Academy of sciences
Session FRP2.PJ
FRP2.PJ.1: A comparison of high resolution GSMaP with ground observation
Tomoo Ushio, Hitoshi Hirose, Archie Veloria, Yuuki Wada, University of Osaka, Japan
FRP2.PJ.2: CLASSIFICATION OF THREE DIMENSIONAL PROPERTIES OF CLOUD AND PRECIPITATION USING MULTI-FREQUENCY (W/KU/KA) SPACE BORNE RADARS
Rohit Mangla, National University of Singapore, Singapore; J. Indu, Indian Institute of Technology, Bombay, India; Abishek Adhikari, The University of Arizona, United States
FRP2.PJ.3: IMPROVING NEAR REAL-TIME SATELLITE RAINFALL ESTIMATES WITH TIME-VARYING SOIL MOISTURE INFORMATION USING A DEEP LEARNING FRAMEWORK
Shuvojit Nath, Monash University, Australia; Asok Raja, India Meteorological Department, India; RAAJ Ramsankaran, Indian Institute of Technology Bombay, India; Jeffrey Walker, Monash University, Australia
FRP2.PJ.4: CHARACTERIZATION OF ATMOSPHERIC RIVERS STRIKING CALIFORNIA IN OCTOBER 2021 BASED ON GNSS AND REANALYSIS DATA
Ao Guo, Yan Xu, Nan Jiang, Shandong University, China
FRP2.PJ.5: An Improved Deep Learning Approach to Spatiotemporal Super-Resolution of Radar Precipitation Echoes
Yonghua Zhang, Guangdong Meteorological Service Center, China; Jianxing WU, Pearl River Comprehensive Technology Center of Pearl Water Resources Commission, China; Ping Zhu, Guangdong Meteorological Service Center, China; Haonan Chen, Colorado State University, United States; Yi Zhang, Guangzhou Meteorological Integrated Security Center, China; Ping Shen, Guangdong Emergency Early Warning Release Center, China; Zhecheng Wu, China Datacom Corporation Limited, China
FRP2.PJ.6: CHANGES IN MCS AND NON-MCS PRECIPITATION CHARACTERISTICS ASSOCIATED WITH RECENT CONGO DROUGHTS
Liming Zhou, University at Albany, State University of New York, United States
FRP2.PJ.7: HIGH-RESOLUTION METEOROLOGICAL REANALYSIS DATA USING THE DEEP LEARNING MODEL SWIN2SR AND ITS APPLICABILITY TO MESOSCALE NUMERICAL MODELS
Sunao Matsunaga, Ryota Nakamura, Niigata University, Japan
FRP2.PJ.8: A DATA FUSION APPROACH TO ENHANCE SATELLITE PRECIPITATION PRODUCT USING GROUND-BASED RADAR
Dario Cappelli, Ilaria Petracca, Fabio Del Frate, Tor Vergata, University of Rome, Italy; Marios Tzouvaras, Eratosthenes Centre of Excellence, Cyprus
FRP2.PJ.9: LIGHTNING ACTIVITY AND ASSOCIATED PARAMETERS OVER ARCTIC
Kavita Meena, Saurabh Das, Indian Institute of Technology Indore, India; Nuncio Murukesh, NATIONAL CENTRE FOR POLAR AND OCEAN RESEARCH, India; Vaibhav Tyagi, Parvathy Thankachy P, Lekhraj Saini, Indian Institute of Technology Indore, India
FRP2.PJ.10: TOWARD SPECTRALLY INTEGRATED WATER CLOUD-PRECIPITATION RETRIEVALS WITH HYPERSPECTRAL MICROWAVE RADIOMETERS
Ines Fenni, Jet Propulsion Laboratory, United States; Kwo-Sen Kuo, University of Maryland, United States
Resources