H147
New Approaches to Characterize, Model, and Detect Precipitation Variability: Scientific and Practical Applications II

Monday, 14 December 2020: 05:30-06:30
Virtual
Primary Convener:  Veljko Petković, Colorado State University, Dept. of Atmospheric Science, Fort Collins, CO, United States
Conveners:  Shruti Ashok Upadhyaya, Cooperative Institute for Mesoscale Meteorological Studies, Norman, OK, United States, Alain Mailhot, Institut National de la Recherche Scientifique, Eau-Terre-Environnement, Québec, QC, Canada and Giuseppe Mascaro, Arizona State University, Tempe, AZ, United States
Primary Liaison:  Conrad Wasko, University of New South Wales, Sydney, Australia
Chairs:  Shruti Ashok Upadhyaya, Cooperative Institute for Mesoscale Meteorological Studies, Norman, OK, United States and Viviana Maggioni, George Mason University Fairfax, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA, United States
OSPA Liaison:  Veljko Petković, Colorado State University, Dept. of Atmospheric Science, Fort Collins, CO, United States
05:30
H147-01
Building trustworthy AI for environmental science (Invited) (665847)
Amy McGovern, University of Oklahoma, Computer Science, Norman, United States
05:34
H147-02
Global retrieved snowfall properties using a neural network and GPM-DPR (747619)
Randy J Chase, University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, IL, United States, Stephen W Nesbitt, University of Illinois at Urbana Champaign, Department of Atmospheric Sciences, Urbana, IL, United States and Greg M McFarquhar, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States
05:38
H147-03
Heavy rainfall prediction from satellite and radar observations based on Deep Anomaly Detection (716604)
Yeji Choi, Minyoung Back and Taegyun Jeon, SI Analytics, Research team, Daejeon, South Korea
05:42
H147-04
Passive Microwave Satellite Characterization of Light Precipitation from Microphysical to Global Scale (Invited) (743208)
Sarah Ringerud, University of Maryland College Park, College Park, MD, United States, Stephen Joseph Munchak, NASA Goddard Space Flight Center, Greenbelt, United States and Mircea Grecu, NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States
05:46
H147-05
Rainfall Estimation Using Commercial Microwave Links: Case Study for Sri Lanka (728905)
Remko Uijlenhoet1, Thomas van Leth1, Linda Bogerd1, Jan Priebe2, Daniele Tricarico2, Hidde Leijnse3 and Aart Overeem3, (1)Wageningen University and Research Center, Wageningen, Netherlands, (2)GSMA, AgriTech / Mobile for Development, London, United Kingdom, (3)Royal Netherlands Meteorological Institute, De Bilt, Netherlands
05:50
H147-06
Satellite Precipitation Algorithms and AI (Invited) (686132)
Christian Kummerow, Colorado State Univ, Department of Atmospheric Science, Fort Collins, CO, United States and Imme Ebert-Uphoff, Colorado State University, Fort Collins, CO, United States
05:54
H147-07
Understanding spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens (717691)
Adway Mitra, Indian Institute of Technology Kharagpur, Kharagpur, India, Arjun Sharma, Cornell University, Ithaca, United States, Vishal Vasan, International Centre for Theoretical Sciences, Bangalore, India and Rama Govindarajan, Tata Institute of Fundamental Research, International Centre for Theoretical Sciences, Bengaluru, India
05:58
H147-08
Using neural networks with latent variables to predict future radar frames (697295)
Claire Bartholomew1,2, John H Marsham3, David Hogg4, Teil Howard1 and Leif Denby5, (1)Met Office, Exeter, United Kingdom, (2)University of Leeds, Leeds, United Kingdom, (3)University of Leeds, School of Earth and Environment, Leeds, United Kingdom, (4)University of Leeds, School of Computing, Leeds, United Kingdom, (5)University of Leeds, Leeds, LS2, United Kingdom
06:02
Discussion
See more of: Hydrology
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