MO3.R9.1

THE INCUS MISSION, THREE RADARS AND A RADIOMETER ON SMALL SATELLITES TO MEASURE CONVECTIVE MASS FLUX FROM SPACE

Susan van den Heever, Colorado State University, United States; Pavlos Kollias, Stony Brook University / Brookhaven National Laboratory, United States; Ziad Haddad, Simone Tanelli, Jet Propulsion Laboratory, California Institute of Technology, United States; Kristen Rasmussen, Colorado State University, United States; Graeme Stephens, Derek Posselt, Yunjin Kim, Mary Morris, Jet Propulsion Laboratory, California Institute of Technology, United States; Philip Partain, Colorado State University, United States
Session:
MO3.R9: Precipitation and Clouds I Oral
Track:
Atmosphere Applications
Location:
Venus Hall
Presentation Time:
Mon, 8 Jul, 13:40 - 13:54
Session Co-Chairs:
V. Chandrasekar, Colorado State University and William Blackwell, MIT Lincoln Laboratory
Presentation
Discussion
Resources
No resources available.
Session MO3.R9
MO3.R9.1: THE INCUS MISSION, THREE RADARS AND A RADIOMETER ON SMALL SATELLITES TO MEASURE CONVECTIVE MASS FLUX FROM SPACE
Susan van den Heever, Colorado State University, United States; Pavlos Kollias, Stony Brook University / Brookhaven National Laboratory, United States; Ziad Haddad, Simone Tanelli, Jet Propulsion Laboratory, California Institute of Technology, United States; Kristen Rasmussen, Colorado State University, United States; Graeme Stephens, Derek Posselt, Yunjin Kim, Mary Morris, Jet Propulsion Laboratory, California Institute of Technology, United States; Philip Partain, Colorado State University, United States
MO3.R9.2: BIASES IN ICE PARTICLE SIZE RETRIEVALS FROM SYNTHETIC IMAGING PROBES
Robert Schrom, Kwo-Sen Kuo, University of Maryland, Earth System Science Interdisciplinary Center, United States
MO3.R9.3: SATELLITE CHANNEL EXCESS ATTENUATION PREDICTION AT KA BAND USING DEEP LEARNING MODELS AND RAINFALL RATE DATA
Maria Kaselimi, Anargyros Roumeliotis, Apostolos Papafragkakis, Athanasios Panagopoulos, Nikolaos Doulamis, National Technical University of Athens, Greece
MO3.R9.4: PREP-SEQNET:AN INTEGRATED ANN AND SEQUENTIAL DEEP LEARNING FRAMEWORK FOR RAINFALL PREDICTION
Lalita Chaudhary, Shakti Sharma, Tapas Badal, Kuldeep Chaurasia, Bennett University, India
MO3.R9.5: META-ANALYSIS OF RAIN NOWCASTING USING MACHINE LEARNING AND NON-MACHINE LEARNING MODELS
Baptiste Guigal, Laboratoire atmosphères, milieux, observations spatiales and BOWEN/Novimet, France; Laurent Barthes, Aymeric Chazottes, Nicolas Viltard, Laboratoire atmosphères, milieux, observations spatiales, France; Erwan Le Bouar, Emmanuel Moreau, BOWEN/Novimet, France; Cécile Mallet, Laboratoire atmosphères, milieux, observations spatiales, France
MO3.R9.6: GROUND-BASED OBSERVATIONS OF AN UNPRECEDENTED RAINFALL EVENT OVER INDORE, INDIA: A MULTI-INSTRUMENT APPROACH
Nitig Singh, IIT, India; Vaibhav Tyagi, IIT Indore, India; Lekhraj Saini, Saurabh Das, IIT, India; Murali Krishna, Sachin M. Deshpande, IITM Bhopal, India; Som Kumar Sharma, PRL, India
MO3.R9.7: EVALUATING THE PERFORMANCE OF SATELLITE-BASED AND REANALYSIS PRECIPITATION PRODUCTS IN SOUTHWEST CHINA
Jiayi Hu, Mingfang Zhang, Shiyu Deng, Zipei Liu, Zhou Tian, University of Electronic Science and Technology of China, China
Resources
No resources available.