H200
Space-Based Precipitation Observations and Estimation: Innovations for Science and Applications IV Posters

Wednesday, 16 December 2020: 04:00-20:59
Poster
Primary Convener:  Pierre-Emmanuel Kirstetter, University of Oklahoma Norman Campus, Norman, OK, United States
Conveners:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, Walter Arthur Petersen, NASA MSFC, Science Research and Projects Office, Huntsville, AL, United States and Sarah Ringerud, CSU, Fort Collins, CO, United States
Primary Liaison:  Pierre-Emmanuel Kirstetter, University of Oklahoma, School of Civil Engineering and Environmental Sciences and School of Meteorology, Norman, OK, United States
Chairs:  Yalei You, University of Maryland College Park, Earth System Science Interdisciplinary Center, College PARK, MD, United States, Jackson Tan, Monash University, Melbourne, Australia and Pierre-Emmanuel Kirstetter, University of Oklahoma, School of Civil Engineering and Environmental Sciences and School of Meteorology, Norman, OK, United States
OSPA Liaison:  Pierre-Emmanuel Kirstetter, University of Oklahoma, School of Civil Engineering and Environmental Sciences and School of Meteorology, Norman, OK, United States
 
Cloud and Precipitation Measurements Within NASA’s Decadal Survey Observing-System Study for Aerosols, Clouds, Convection, and Precipitation (ACCP) (682107)
Walter Arthur Petersen1, Scott A Braun2, Gerald G Mace3, Graeme L Stephens4, Duane Edward Waliser5, David M Winker6, Arlindo daSilva7, Jens Redemann8, Richard Anthony Ferrare6 and Meloe S Kacenelenbogen9, (1)Marshall Space Flight Center, Huntsville, AL, United States, (2)NASA/GSFC, Greenbelt, MD, United States, (3)Univ Utah, Salt Lake City, UT, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States, (5)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (6)NASA Langley Research Center, Hampton, VA, United States, (7)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (8)University of Oklahoma Norman Campus, School of Meteorology, Norman, OK, United States, (9)NASA Ames Research Center, Moffett Field, CA, United States
 
Cloud liquid water assumption of Precipitation Retrieval Algorithms for the Dual-frequency Precipitation Radar onboard the GPM Core Observatory (667786)
Takuji Kubota, JAXA Japan Aerospace Exploration Agency, EORC, Sagamihara, Japan, Shinta Seto, Nagasaki University, Nagasaki, Japan, Satoh Masaki, Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan, Tomoe Nasuno, Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, Toshio Iguchi, University of Maryland, Greenbelt, United States, Takeshi Masaki, RESTEC, Tsukuba, Japan, John M. Kwiatkowski, George Mason University Fairfax, Fairfax, United States and Riko Oki, JAXA Japan Aerospace Exploration Agency, Sagamihara, Japan
 
Particle size as a state variable in the GPM combined algorithm (680785)
Mircea Grecu, Morgan State University, Baltimore, MD, United States and William S Olson, Joint Center for Earth Systems Technology, Baltimore, MD, United States
 
Retrieving DSD moments from GPM-DPR: A simulation study based on the full DSD spectra characterized by the Generalized Gamma model (668576)
Merhala Thurai1, Viswanathan N Bringi1, Patrick N Gatlin2, David B Wolff3, David A Marks4 and Charanjit Singh Pabla4, (1)Colorado State University, Fort Collins, CO, United States, (2)NASA MSFC, Huntsville, AL, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States
 
Using Observed Drop Size Distributions in Light Rainfall: Application to the Combined DPR-GMI Algorithm (678727)
V.N. Bringi, Colorado State University, Electrical and Computer Engineering, Fort Collins, CO, United States, Mircea Grecu, NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States; Morgan State University, Baltimore, MD, United States, Merhala Thurai, Colorado State University, Fort Collins, CO, United States and Alain Protat, Bureau of Meteorology, Melbourne, Australia
 
Using NASA Airborne HIWRAP Observations to Study the Impact of Precipitation Variability on Path Integrated Attenuation and Near-Surface Reflectivity (737523)
Christopher R Williams, University of Colorado Boulder, Smead Aerospace Engineering Science, Boulder, CO, United States
 
Quantifying the Effects of Radar Resolution on a Warm Rain Retrieval (760818)
Rachel L Storer1, Matthew D Lebsock2 and Derek J Posselt2, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Snowfall over Sea Ice: Learning from coincidences of GPM and CloudSat Satellites (718253)
Sajad Vahedizade and Ardehsir Ebtehaj, University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States
 
Snowfall Type Classification for Improving Passive Microwave Snowfall Estimates (672333)
Lisa Milani, NASA Goddard Space Flight Center, Greenbelt, MD, United States; University of Maryland, Earth System Science Interdisciplinary Center (ESSIC), College PARK, United States, Veljko Petkovic, University of Maryland College Park, Cooperative Insititute for Satellite Earth System Studies, College Park, MD, United States and Marko Orescanin, Navy Postgraduate School, Department of Computer Science, Monterey, United States
 
Building a Multi-Satellite Passive-Microwave Hail Retrieval and Climatology (681215)
Sarah D Bang and Daniel Cecil, NASA Marshall Space Flight Center, Huntsville, AL, United States
 
Exploring Uncertainty in Bayesian Retrievals of Cloud and Precipitation Properties (769764)
Derek J Posselt1, Brian D Wilson2, Rachel L Storer3, Matthew D Lebsock2, George Duffy4, Berlin Chen5, Noppasin Niamsuwan5 and Simone Tanelli5, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)University of Wisconsin-Milwaukee, Milwaukee, WI, United States, (4)Jet Propulsion Laboratory, Nashville, TN, United States, (5)Jet Propulsion Laboratory, Pasadena, CA, United States
 
Goddard Latent Heating Retrieval Algorithm for TRMM and GPM (732475)
Takamichi Iguchi, University of Maryland College Park, College Park, MD, United States, Wei-Kuo Tao, NASA/Goddard Space Flight Cent, Greenbelt, MD, United States, Stephen E Lang, SSAI, Greenbelt, MD, United States and Yi Song, NASA Goddard Space Flight Center, Greenbelt, United States
 
Rain rate estimation from FY-3C/MWHS-2 observations at 89-190 GHz (747483)
Ruiyao Chen, Nashville, TN, United States and Ralf Bennartz, Vanderbilt University, Nashville, TN, United States
 
Increasing the Use of Global Precipitation Measurement Data and Products for Applications (729396)
Andrea Monet Portier, NASA Goddard Space Flight Center/SSAI, Greenbelt, MD, United States and Dalia Kirschbaum, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
 
Towards IMERG V07: Responses to the IMERG User Survey (674478)
Jackson Tan1, George John Huffman2, David T Bolvin3 and Eric Nelkin3, (1)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Science Systems and Applications, Inc., Lanham, MD, United States
 
Detection and Tracking of Convective Storms Based on Globally Gridded Precipitation Measurements (682613)
Hanii Takahashi1, Matthew D Lebsock2, Johnny Luo3, Hirohiko Masunaga4 and Cindy Wang3,5, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)CUNY City College of New York, New York, NY, United States, (4)Nagoya University, Institute for Space-Earth Environmental Research, Nagoya University. Furo-cho Chikusa-ku., Nagoya, Japan, (5)City College of New York, New York, NY, United States
 
Modeling Extreme Values in the IMERG Precipitation Dataset for Disaster Monitoring (740487)
Jerry Xiong1, Yaping Zhou2,3, George John Huffman2 and Levon Demirdjian4, (1)River Hill High School, Clarksville, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Maryland Baltimore County, Baltimore, MD, United States, (4)Johnson & Johnson, San Diego, CA, United States
 
An IMERG based Assessment of the Contribution of Landfalling Tropical Cyclones to Rainfall Climatology in the US Atlantic Basin (767828)
Alka Tiwari1, Ankur Kumar2, Udaysankar S Nair3, Venkatesh Merwade1, Frank Marks4 and Dev Niyogi, (1)Purdue University, West Lafayette, IN, United States, (2)Purdue University, Department of Agronomy and Department of Earth, Atmospheric and Planetary Sciences, West Lafayette, IN, United States, (3)University of Alabama in Huntsville Earth System Science Center, Huntsville, AL, United States, (4)NOAA/AOML/Hurricane Research Division, Key Biscayne, FL, United States
 
Climatology of monsoonal rainstorm events over the Lower Mekong Region: A regional analysis using a spatiotemporal Object-based rainfall method for GPM-IMERG (772134)
Miguel Laverde1,2, Chinaporn Meechaiya1, Poortinga Ate3, Amanda (Weigel) Markert4,5, Andrea Nicolau5,6, Susantha Jayasinghe1, Senaka Bandara Basnayake1, Farrukh Chishtie3, Peeranan Towashiraporn1, Gerald Corzo7, David S Saah3,8, Remko Uijlenhoet9 and Dimitri P Solomatine2,7, (1)Asian Disaster Preparedness Center, SERVIR-Mekong, Bangkok, Thailand, (2)Delft University of Technology, Water resources section, Delft, Netherlands, (3)Spatial Informatics Group, LLC, Alameda, CA, United States, (4)University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States, (5)NASA Marshall Space Flight Center, SERVIR Science Coordination Office, Huntsville, AL, United States, (6)University of Alabama in Huntsville, Huntsville, AL, United States, (7)IHE Delft Institute for Water Education, Hydroinformatics, Delft, Netherlands, (8)University of San Francisco, Geospatial Analysis Lab, San Francisco, CA, United States, (9)Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands
 
Impact of GPM Temporal Sampling on Streamflow Simulations (720014)
Ankita Pradhan, Indian Institute of Technology Bombay, Mumbai, India, J. Indu, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India and Pierre-Emmanuel Kirstetter, University of Oklahoma, School of Civil Engineering and Environmental Sciences and School of Meteorology, Norman, OK, United States
 
Spatial and Temporal downscaling of TRMM Precipitation with Novel Algorithms (661452)
Huihui Zhang1, Qingyun Du1 and HUGO A Loáiciga2, (1)Wuhan University, Scool of Resource and Environmental Sciences, Wuhan, China, (2)University of California Santa Barbara, Geography, Goleta, CA, United States
 
How many rain gauges is a constellation of satellites worth? (764644)
Clément Guilloteau and Efi Foufoula-Georgiou, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States
 
Validation of Real Time Second Generation Pole to Pole CMORPH (756324)
Robert Joyce, NOAA/NCEP Climate Prediction Center, College Park, United States, Pingping Xie, NOAA/NCEP, College Park, MD, United States and Shaorong Wu, Wyle-CPC/NCEP/NOAA, College Park, MD, United States
 
Evaluation of Cold-Season Precipitation Estimates Derived from Gridded Daily Satellite Precipitation Products (749024)
Olivier P Prat1, Brian R Nelson2, Ronald Leeper1 and Scott Embler2, (1)North Carolina State University, Cooperative Institute for Satellite Earth System Studies (CISESS), Asheville, NC, United States, (2)NOAA Asheville, NCEI/CWC, Asheville, NC, United States
 
Ground Validations of GPM IMERG in Extreme Events over the Conterminous United States (734228)
Zhen Hong1, Zhi Li1, Guoqiang Tang2, Pierre-Emmanuel Kirstetter3 and Yang Hong4, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)University of Saskatchewan, Saskatoon, SK, Canada, (3)University of Oklahoma, School of Civil Engineering and Environmental Sciences and School of Meteorology, Norman, OK, United States, (4)School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, United States
 
Validating GPM IMERG Precipitation using SMAP Soil Moisture (743188)
Andrew Badger1,2, Christa Peters-Lidard1 and Dalia Kirschbaum3, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Universities Space Research Association Columbia, Columbia, MD, United States, (3)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
 
Comparison of GPM-IMERG and TRMM 3B43 precipitation products with dense network of rain-gauges for the Northeast monsoon season over Tamil Nadu, India (700077)
Samykannu Venkadesh, Tamil Nadu Agricultural University, Agro Climate Research Centre, Coimbatore, India, Sellaperumal Pazhanivelan, Tamil Nadu Agricultural University, Remote Sensing and GIS, Coimbatore, India and Ponraj Arumugam, Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
 
Comparison of IMERG Precipitation Estimates and PACRAIN Atoll Gauge Observations (697104)
David T Bolvin1, George John Huffman2, Eric Nelkin1 and Jackson Tan3, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Universities Space Research Association Greenbelt, Greenbelt, MD, United States
 
The performance assessment of PERSIANN-CCS-CDR rainfall estimates for hydrometeorological applications (699746)
Matin Rahnamay Naeini1, Mojtaba Sadeghi1, Phu Nguyen2, Kuo-lin Hsu1 and Soroosh Sorooshian3, (1)University of California Irvine, Irvine, CA, United States, (2)UC Irvine, Civil & Environmental Engineering, Irvine, CA, United States, (3)Univ California Irvine, Irvine, CA, United States
 
Evaluation of V05 Precipitation Estimates from GPM Constellation Radiometers Using KuPR as the Reference (661017)
Yalei You1, Veljko Petkovic2, Jackson Tan3, Rachael Kroodsma4,5, Wesley K Berg6, Christopher Kidd5 and Christa D Peters-Lidard7, (1)CISESS/ESSIC, University of Maryland, College PARK, MD, United States, (2)University of Maryland College Park, Cooperative Insititute for Satellite Earth System Studies, College Park, MD, United States, (3)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Earth System Science Interdisciplinary Center, College PARK, MD, United States, (6)Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, (7)NASA GSFC, Greenbelt, MD, United States
 
Evaluation of GPM DPR Surface Precipitation Type Identification, Using Ground-Based Polarimetric WSR-88D Radar and mPING Crowdsourcing Observations (675141)
Erica Griffin1,2, Yixin Berry Wen1,2, Terry James Schuur1,2, Alexander Ryzhkov1,2, John Krause1,2 and Yang Hong3, (1)Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States, (2)NOAA/OAR/National Severe Storms Laboratory, Norman, OK, United States, (3)School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, United States
 
Data Integration for Satellite Precipitation Estimation Using Deep Neural Networks (735923)
Vesta Afzali Gorooh, University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States, Phu Nguyen, UC Irvine, Civil & Environmental Engineering, Irvine, CA, United States, Ata Akbari Asanjan, NASA Ames Research Center, USRA, Moffett Field, CA, United States, Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States and Soroosh Sorooshian, Univ California Irvine, Irvine, CA, United States
 
Improving the CHIRPS (V2.0) precipitation estimates for rainfall extremes using a dense rain gauge network over the Brazilian Amazon (676225)
Ye Mu1, Trent W Biggs1 and Samuel Shanpu Shen2, (1)San Diego State University, Department of Geography, San Diego, CA, United States, (2)San Diego State University, Department of Mathematics and Statistics, San Diego, CA, United States
 
RainRunner – A Multi-Satellite Rainfall Retrieval Algorithm for Northern Ghana Based on Deep Learning and Earth Observation and Supported by Citizen Science (732172)
Mónica Estébanez Camarena1, Nick Van De Giesen2 and Marie-Claire Ten Veldhuis1, (1)Delft University of Technology, Water Management, Delft, Netherlands, (2)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
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