H097
Space-Based Precipitation Observations: Innovations for Science and Applications

Session ID#: 160822

Session Description:
Precipitation processes condition the Earth’s water cycle, weather, and climate, and are key to habitability around the world. Global precipitation observations have been vital for documenting processes that impact extreme weather, hydrologic forecasts, and infrastructure, with the TRMM and GPM missions setting standards for global precipitation science and applications. New and future missions such as AOS, EPS-SG, GOSAT-GW, INCUS, TEMPEST, TROPICS, and WSF-M will continue to improve our observational record and our understanding and modeling of physical processes. Precipitation science will advance by using complementary observations from spaceborne and suborbital platforms to document detailed interaction processes, small spatial scales, poorly resolved short temporal components, and through model-observation synergy that jointly enhances model accuracy and scientists’ insight into observations. This session invites innovative contributions in all areas of precipitation science with emphasis on the use of space-based observations, including missions, instrumentation, algorithms, products, validation, extremes, physical processes, models, and applications.
Co-Organized:
  • A - Atmospheric Sciences
Co-Sponsor(s):
  • AMS: American Meteorological Society -
Index Terms:

1854 Precipitation [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
3314 Convective processes [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]

Primary Convener:  Sarah Ringerud, University of Maryland College Park, Earth System Science Interdisciplinary Center (ESSIC), College Park, MD, United States
Conveners:  Jackson Tan, University of Maryland Baltimore County, Baltimore, MD, United States, Pierre Kirstetter, University of Oklahoma Norman Campus, CIMMS, Norman, OK, United States and David B Wolff, NASA Goddard Space Flight Center Wallops Flight Facility, Code 610W, Wallops Island, VA, United States
 
Cloud and Precipitation Measurements Planned Within The NASA Earth System Observatory—Atmosphere Observing System (AOS) (1048049)
Scott A Braun, NASA Goddard Space Flight Center, Greenbelt, MD, United States, John E Yorks, NASA Goddard Space Flight Center, Greenbelt, United States, Tyler Thorsen, NASA Langley Research Center, Hampton, VA, United States, Nobuhiro Takahashi, Nagoya University, Institute for Space-Earth Environmental Research, Nagoya, Japan and Hélène Brogniez, LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales, Paris Cedex 05, France
 
Snowfall Type Classification for Improving Passive Microwave Falling Snow Retrievals (1051867)
Lisa Milani, NASA Goddard Space Flight Center, Greenbelt, MD, United States; University of Maryland College Park, Earth System Science Interdisciplinary Center (ESSIC), College Park, United States and Veljko Petković, University of Maryland College Park, ESSIC/CISESS, College Park, United States
 
How good are gridded precipitation datasets for Africa? A comprehensive validation of eight precipitation products for continental applications (1060623)
Naga Manohar Velpuri1, Kirubel Mekonnen2, Mansoor D Leh1, Komlavi Akpoti3, Primrose Tinonetsana4, Paranamana Thilina-Prabhath1, Tarek Hamouda5 and Yolande A Munzimi6, (1)International Water Management Institute, Water Accounting, Colombo, Sri Lanka, (2)International Water Management Institute, Addis Ababa, Ethiopia, (3)International Water Management Institute, Water Accounting, Accra, Ghana, (4)International Water Management Institute, Colombo, Sri Lanka, (5)International Water Managment Institute, Colombo, Sri Lanka, (6)University of Maryland College Park, Geographical Sciences, College Park, MD, United States
 
Towards Integrating IMERG-based Global Rainfall Erosivity Estimates with Gauge Data (1061050)
Ayele Almaw Fenta1, Atsushi Tsunekawa1, Nigussie Haregeweyn2, Hiroshi A Yasuda1, Mitsuru Tsubo1, Takayuki Kawai3, Mulatu Liyew A Berihun1, Kindiye Ebabu Gelaw1, Dagnenet Sultan4, Ashebir Sewale Belay5, Tadesual Asamin Setargie1, Pasquale Borrelli6 and Panos Panagos7, (1)Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori 680-0001, Japan, Tottori, Japan, (2)International Platform for Dryland Research and Education, Tottori University, Tottori 680-0001, Japan, Tottori, Japan, (3)Graduate School of International Resource Sciences, Akita University, 1-1 Tegatagakuen-machi, Akita 010-8502, Japan, Akita, Japan, (4)Faculty of Civil and Water Resource Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia, Bahir Dar, Ethiopia, (5)Laboratory of Applied Geology and Hydrogeology, Ghent University, Gent, Belgium, (6)Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy, Pavia, Italy, (7)European Commission, Joint Research Centre (JRC), Ispra, Italy, Ispra, Italy
 
Major Changes to the IMERG Algorithm from V06 to V07 (1062039)
Jackson Tan1,2, George John Huffman3, David T Bolvin2,4, Eric Nelkin2,4 and Robert Joyce2,5, (1)University of Maryland Baltimore County, Baltimore, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)Science Systems and Applications, Inc., Lanham, United States
 
The IMERG Version 07 Probability of Liquid Phase Field: Overview, General Characteristics, and Potential Applications (1066091)
Jason West1, George John Huffman2, Dave Bolvin3, Eric Nelkin4,5, Jackson Tan5,6, Guosheng Liu7 and Daniel Watters8, (1)NASA GSFC / Precipitation Processing System / KBR, Inc., Greenbelt, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NASA-GSFC-SSAI, Greenbelt, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)NASA Goddard Space Flight Center, Greenbelt, United States, (6)University of Maryland Baltimore County, Baltimore, MD, United States, (7)Florida State University, Tallahassee, FL, United States, (8)NASA Postdoctoral Program, NASA Marshall Space Flight Center, Huntsville, United States
 
Global Precipitation Nowcasting of IMERGE Precipitation using a Convolutional Deep Neural Network – Can we outperform the Global Forecast System Model? (1066951)
Reyhaneh Rahimi Nahouji, University of Minnesota Twin Cities, Department of Civil Environmental and Geo- Engineering, Minneapolis, United States; Saint Anthony Falls Laboratory, Minneapolis, United States and Ardeshir Ebtehaj, University of Minnesota Twin Cities, Minneapolis, United States; St. Anthony Falls Laboratory, Department of Civil Environmental and Geo- Engineering, Minneapolis, United States
 
Evaluation of PMW Precipitation and Implications for Algorithms and Future Satellite Missions (1072792)
Yalei You, University of North Carolina at Wilmington, Wilmington, NC, United States, George John Huffman, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Jackson Tan, Monash University, Melbourne, Australia, Paula Brown, Colorado State University, Fort Collins, CO, United States, Christian Kummerow, Colorado State University, Department of Atmospheric Science, Fort Collins, United States and Rachael Kroodsma, University of Michigan, Ann Arbor, MI, United States
 
An Introduction to GPM Version 07 (1079157)
George John Huffman1, Scott A Braun1, Mircea Grecu1,2, Takuji Kubota3, Christian D Kummerow4, Stephen E Lang1,5, Adrian Loftus1, William S Olson1,6, Erich Franz Stocker1, Nobuhiro Takahashi7, Yukari N Takayabu8 and Wei-Kuo Tao1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Morgan State University, Baltimore, United States, (3)JAXA/EORC, Tsukuba, Japan, (4)Colorado State University, Fort Collins, CO, United States, (5)Science Systems and Applications, Inc., Lanham, MD, United States, (6)University of Maryland Baltimore County, Baltimore, MD, United States, (7)Nagoya University, Institute for Space-Earth Environmental Research, Nagoya, Japan, (8)The University of Tokyo, Tokyo, Japan
 
Space-born Radiometer Observations during Shallow Precipitation Events (1080411)
Linda Bogerd1, Hidde Leijnse2, Aart Overeem2 and Remko Uijlenhoet3, (1)Wageningen University and Research Center, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands, (2)Royal Netherlands Meteorological Institute, De Bilt, Netherlands, (3)Delft University of Technology, Delft, Netherlands
 
The Precipitation Morphing Method with the Advanced Himawari Imager for the High Temporal and Spatial Resolution Global Satellite Mapping of Precipitation (1086054)
Haruka Sakamoto, Tomoaki Mega, Yuuki Wada and Tomoo Ushio, Graduate School of Engineering, Osaka University, Division of Electrical, Electronic and Infocommunications Engineering, Osaka, Japan
 
Comparing the Underlying Shape of the Rain Drop Size Distributions using the Full Spectra for Four Events from Four Climatically Different Locations (1089290)
Merhala Thurai1, Viswanathan N Bringi1, Patrick Kennedy2, David B Wolff3, David A Marks4,5, Charanjit Singh Pabla4,5, Matthew T. Wingo6, Patrick N Gatlin6, Wonbae Bang7 and Gyuwon Lee8, (1)Colorado State University, Fort Collins, CO, United States, (2)Colorado State University, Fort Collins, United States, (3)NASA Goddard Space Flight Center Wallops Flight Facility, Code 610W, Wallops Island, VA, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)NASA Goddard Space Flight Center Wallops Flight Facility, Code 610W, Wallops Island, United States, (6)NASA Marshall Space Flight Center, Huntsville, AL, United States, (7)Kyungpook National University, Center for Atmospheric REmote sensing (CARE), Daegu, South Korea, (8)Kyungpook National University, Department of Atmospheric Sciences and Center for Atmospheric Remote Sensing, Daegu, South Korea
 
The GPM Validation Network: Oceanic Validation of IMERG and GPROF with Ground-Based Radars (1089466)
Daniel Watters1, Patrick N Gatlin2, Pierre-Emmanuel Kirstetter3,4, George John Huffman5, Jackson Tan6,7, David T Bolvin7,8, Eric Nelkin7,8, David B Wolff9, Jianxin Wang7, Robert Joyce7,10 and Sarah Ringerud5,11, (1)NASA Postdoctoral Program, NASA Marshall Space Flight Center, Huntsville, United States, (2)NASA Marshall Space Flight Center, Huntsville, AL, United States, (3)University of Oklahoma, School of Meteorology and School of Civil Engineering and Environmental Science, Norman, OK, United States, (4)NOAA/National Severe Storms Laboratory, Norman, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)University of Maryland Baltimore County, Baltimore, MD, United States, (7)NASA Goddard Space Flight Center, Greenbelt, United States, (8)Science Systems and Applications, Inc., Lanham, MD, United States, (9)NASA Goddard Space Flight Center Wallops Flight Facility, Code 610W, Wallops Island, VA, United States, (10)Science Systems and Applications, Inc., Lanham, United States, (11)University of Maryland College Park, Earth System Science Interdisciplinary Center (ESSIC), College Park, MD, United States
 
Hail Identification Feature and the Global Validation Activities for GPM DPR Classification Module Version 7 (1090539)
Minda Le, Colorado State University Fort Collins, Fort Collins, CO, UNITED STATES and V. Chandrasekar, Colorado State University, Electrical and Computer Engineering, Fort Collins, CO, United States
 
The evaluation and downscaling-calibration of IMERG precipitation products at sub-daily scales over a metropolitan region (1099737)
Qi Zhuang1, Zhengzheng Zhou1, Shuguang Liu1 and Daniel Wright2, (1)Tongji University, Department of Hydraulic Engineering, Shanghai, China, (2)University of Wisconsin-Madison, Madison, United States
 
Application of Microphysics-Consistent Scattering Properties to Passive Microwave Radiative Simulation and Rainfall Retrieval Algorithm (1100459)
Jiseob Kim1, Dong-Bin Shin2, Jisu Choi2 and Donghyeck Kim2, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Yonsei University, Seoul, South Korea
 
Performance Evaluation and Improvement of CMFD-based Precipitation Products over Shanghai City, China (1105548)
Nuo Lei, Zhengzheng Zhou, Shuguang Liu and Qi Zhuang, Tongji University, Department of Hydraulic Engineering, Shanghai, China
 
Observing Ice Phase Clouds and Precipitation with Millimeter- and Submillimeter-wave Radiometry during the IMPACTS field campaign: Algorithm Development for the Emerging Class of Microwave Radiometers (1109157)
Ian S Adams1, Rachael Kroodsma1,2, Yuli Liu3, Andrew Heymsfield4, Simon Pfreundschuh5, Lisa Milani1,2, Sarah Ringerud1,6 and Jie Gong7,8, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland College Park, Earth System Science Interdisciplinary Center (ESSIC), College Park, United States, (3)University of Utah, Salt Lake City, UT, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)Chalmers University of Technology, Department of Space, Earth and Environment, Gothenburg, Sweden, (6)University of Maryland College Park, Earth System Science Interdisciplinary Center (ESSIC), College Park, MD, United States, (7)NASA Goddard Space Flight Center, Greenbelt, United States, (8)University of Maryland Baltimore County, Baltimore, MD, United States
 
Precipitation Measurements from the NASA TROPICS Mission using observational and model-derived databases. (1112969)
Toshihisa Matsui1,2, William J Blackwell3, Vincent Vincent Leslie3, Zachary Griffith4, Scott A Braun5 and Christopher Kidd6,7, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland College Park, College Park, United States, (3)MIT Lincoln Laboratory, Lexington, MA, United States, (4)University of Wisconsin Madison, Madison, WI, United States, (5)NASA/GSFC, Greenbelt, MD, United States, (6)University of Maryland College Park, College Park, MD, United States, (7)NASA Goddard Space Flight Center, Greenbelt, United States
 
Impact of Sampling Uncertainty of TROPICS Cubesat Constellation on Hydrological Fluxes (1114529)
Ankita Pradhan, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India and J. Indu, Indian Institute of Technology Bombay, Mumbai, India
 
Performance Evaluation of GPM IMERG Precipitation Over the Tropical Oceans (1115855)
Rajani Kumar Pradhan and Ioannis Markonis, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha – Suchdol, 16500, Czech Republic, Prague, Czech Republic
 
Improvements to GPM’s GPROF V7 Algorithm (1116913)
Christian Kummerow, Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, Paula Brown, Colorado State University, Fort Collins, CO, United States and Simon Pfreundschuh, Chalmers University of Technology, Department of Space, Earth and Environment, Gothenburg, Sweden
 
Evaluation and Mitigation of GPROF-TMI and -GMI Along-Scan Beam Position Precipitation Biases for IMERG V07 (1122901)
Dave Bolvin1, Robert Joyce2, George John Huffman2, Jackson Tan3, Eric Nelkin4 and John M. Kwiatkowski5, (1)NASA-GSFC-SSAI, Greenbelt, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Monash University, Melbourne, Australia, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)George Mason University Fairfax, Fairfax, United States
 
Assessing the Applicability of Local-Scale Event Rainfall Characteristics from Hurricane Florence to Identify Likely Microbial Contamination in North Carolina Private Drinking Wells (1124331)
Elizabeth Bartuska1, Andrew Summerfield2, Wesley Hayes1, C. Nathan Jones3,4, Jacob P Hochard5, Wilson Mize6, Chris Goforth6, Kelsey Pieper7 and Edward Beighley1, (1)Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States, (2)Northeastern University, Boston, United States, (3)Virginia Polytechnic Institute and State University, Blacksburg, United States, (4)University of Alabama, Biological Sciences, Tuscaloosa, United States, (5)University of Wyoming, Laramie, United States, (6)North Carolina Department of Health and Human Services, Raleigh, United States, (7)Northeastern University, Department of Civil and Environmental Engineering, Boston, United States
 
Evaluation of IMERG over mountainous regions using environmental variables (1129616)
Yagmur Derin, University of Oklahoma Norman Campus, Norman, OK, United States and Pierre-Emmanuel Kirstetter, University of Oklahoma, School of Meteorology and School of Civil Engineering and Environmental Science, Norman, OK, United States
 
Cloud Height-Parallax Correction of GPROF Rainfall Product Improves General Accuracy of Retrievals over CONUS (1130433)
Andres Monsalve1, Eric Goldenstern2, Christian D Kummerow2 and Hernan A Moreno3, (1)University of Texas at El Paso, El Paso, United States, (2)Colorado State University, Fort Collins, CO, United States, (3)University of Texas at El Paso, Earth, Environmental and Resource Sciences, El Paso, United States
 
Tomorrow-R1 and Tomorrow-R2: The Tomorrow.io Pathfinder Ka-band Precipitation Radar Satellites (1132967)
Richard Roy, James Carswell, John Springmann, Mauricio Sanchez-Barbetty, Timothy Maese, Scott Williams and Stephen J Munchak, Tomorrow.io, Boston, United States
 
The latest Global Precipitation Climatology Project Daily and Monthly products (Version 3.2): Early results and comparisons (1135368)
Ali Behrangi, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, George John Huffman, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Robert F Adler, University of Maryland, College Park, MD, United States, Mohammad Reza Ehsani, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Dave Bolvin, NASA-GSFC-SSAI, Greenbelt, United States, Eric Nelkin, Science Systems and Applications, Inc., Lanham, MD, United States and Guojun Gu, ESSIC, University of Maryland College Park, College Park, MD, United States
 
Influence of Ground Observation Stations in Merging Satellite Rainfall Data with Ground Observation Data (1137882)
Jeonghoon Lee1, Ungtae Kim2, Haeun Jung3 and Sangdan Kim3, (1)Pukyong National University, Division of Earth Environmental System Science (Major of Environmental Engineering), Busan, Korea, Republic of (South), (2)Cleveland State University, Civil and Environmental Engineering, Cleveland, OH, United States, (3)Pukyong National University, Division of Earth Environmental System Science (Major of Environmental Engineering), Busan, South Korea
 
GPM Spectral Latent Heating (SLH) Ver.07 data: performance and future issues (1144850)
Yukari N Takayabu1, Shoichi Shige2, Hiroki Tsuji3, Chie Yokoyama3, Atsushi Hamada4, Shunsuke Aoki2, Yasutaka Ikuta5, Moeka Yamaji6 and Takuji Kubota6, (1)The University of Tokyo, Tokyo, Japan, (2)Kyoto University, Kyoto, Japan, (3)AORI/University of Tokyo, Kashiwa, Chiba, Japan, (4)University of Toyama, Earth Science, Toyama, Japan, (5)Japan Meteorological Agency, Tokyo, Japan, (6)Japan Aerospace Exploration Agency, Tsukuba, Japan
 
A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM Observations (1149401)
Ardeshir Ebtehaj, University of Minnesota Twin Cities, Minneapolis, United States, Sajad Vahedizade, University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States and Reyhaneh Rahimi Nahouji, University of Minnesota Twin Cities, Department of Civil Environmental and Geo- Engineering, Minneapolis, United States
 
Investigating the changes and variability of extreme precipitation indices for different satellite precipitation products over Damodar river basin (1150204)
Aiendrila Dey, Indian Institute of Technology Kharagpur, School of Water Resources, Kharagpur, India and Renji Remesan, Indian Institite of Technology Kharagpur, School of Water Resources, Kharagpur, India
 
Leveraging Existing Satellite Precipitation Missions for AOS Applications Development (1156785)
Andrea Monet Portier, NASA Goddard Space Flight Center/SSAI, Greenbelt, MD, United States, Emily Berndt, NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, United States and Anita LeRoy, University of Alabama in Huntsville, SPoRT, Huntsville, AL, United States
 
Understanding Warm Rain Retrieval Uncertainties in Preparation for the Atmosphere Observing System (Invited) (1157952)
Richard Schulte, Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, Christian Kummerow, Colorado State University, Department of Atmospheric Science, Fort Collins, United States, Stephen Millican Saleeby, Colorado State University, Atmospheric Science, Fort Collins, CO, United States and Gerald G Mace, Univ Utah, Salt Lake City, UT, United States
 
The Impact of Atmospheric Rivers on Precipitation Processes over the North Atlantic Ocean As Observed By GPM (1158421)
Claire Pettersen, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Marian Mateling, University of Wisconsin Madison, Madison, WI, United States, Kyle Stephen Mattingly, University of Georgia, Athens, GA, United States, Tristan L'Ecuyer, University of Wisconsin, Department of Atmospheric and Oceanic Sciences, Madison, United States and Mark Kulie, National Oceanic and Atmospheric Administration, Cooperative Research Program, Advanced Satellite Products Branch, Madison, WI, United States
 
Addressing Radar Blind Zone Using Model-derived Look-Up Tables (1163270)
Gerald M Heymsfield, NASA Goddard Space Flight Center, Mesoscale Atmospheric Processes, Greenbelt, MD, United States, Stephen D Nicholls, SSAI, Greenbelt, United States, Mircea Grecu, Morgan State University, Baltimore, United States and Stephen E Lang, NASA Goddard Space Flight Center, Greenbelt, United States
 
Spaceborne Passive-Microwave and Visible/IR Observations of Severe Weather: Leveraging Multiple Perspectives for Detection, Validation, and Climatologies (1176022)
Sarah D Bang, NASA Marshall Space Flight Center, Huntsville, United States, Daniel Cecil, NASA Marshall Space Flight Center, Huntsville, AL, United States, Kristopher M Bedka, NASA Langley Research Center, Climate Science Branch, Hampton, VA, United States, Benjamin R Scarino, Science Systems and Applications, Inc., Hampton, VA, United States and Kyle Frederick Itterly, Science Systems and Applications, Inc. Hampton, Hampton, VA, United States
 
Evaluation of the performance of IMERG from the precipitation event perspective in CONUS (1177201)
Runze Li1, Clément Guilloteau2, Efi Foufoula-Georgiou1,3 and Pierre-Emmanuel Kirstetter4,5, (1)University of California Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (2)University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States, (3)University of California Irvine, Department of Earth System Science, Irvine, United States, (4)University of Oklahoma, Hydrometeorology and Remote Sensing Laboratory, Norman, United States, (5)NOAA/National Severe Storms Laboratory, Norman, United States
 
Using machine learning to improve multi-wavelength spaceborne radar precipitation retrievals (1178413)
Stephen W Nesbitt1, Alfonso Ladino2, Randy Chase3, Greg M McFarquhar4, Robert Rauber5 and Larry Di Girolamo5, (1)University of Illinois at Urbana Champaign, Atmospheric Sciences, Urbana, IL, United States, (2)Urbana, Illinois, UNITED STATES, (3)University of Oklahoma Norman Campus, Norman, United States, (4)Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, OK, United States, (5)University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, United States
 
Status of the GPM Intercalibrated Microwave Radiometer Constellation: 35 Years of Observations for Long-term Precipitation Studies and Beyond (1179035)
Rachael Kroodsma, NASA Goddard Space Flight Center, Greenbelt, MD, United States; University of Maryland College Park, Earth System Science Interdisciplinary Center (ESSIC), College Park, United States
 
IMERG Verification of Global Scale Precipitation Forecast Improvements Using the JEDI Data Assimilation System (Invited) (1180350)
Lindsey Jeanne Hayden, Joint Center for Satellite Data Assimilation, Camp Springs, MD, United States, Hui Shao, Joint Center for Satellite Data Assimilation, University Corporation for Atmospheric Research, Boulder, CO, United States, Hailing Zhang, University Corporation for Atmospheric Research, COSMIC, Boulder, CO, United States and Benjamin Ruston, Joint Center for Satellite Data Assimilation (JCSDA), Boulder, United States
 
Investigation of uncertainties in the cold season precipitation estimates by the GPM combined algorithm (1180835)
Mircea Grecu, Morgan State University, Baltimore, MD, United States and Gerald M Heymsfield, NASA Goddard Space Flight Center, Mesoscale Atmospheric Processes, Greenbelt, MD, United States
 
Comparing Melting Layer Heights Estimated from GPM Spaceborne Radar and Ground Weather Radar Quasi Vertical Profiles (1183505)
Zhi Li1, Yixin Wen2, Alexander Ryzhkov3 and John Krause3, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)University of Florida, Department of Geography, Ft Walton Beach, FL, United States, (3)Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States
 
A Neural Network based Methodology to Retrieve 3D Rainfall from Microwave Imager using Space Radar and Ground Radar observations (1183875)
Alok Sharma and Srinivasa Ramanujam Ramanujam Kannan, IIT Bhubaneswar, Mechanical Sciences, Bhubaneswar, India
 
The Ongoing Challenge of Retrieving Precipitation Extremes Across all Spatial and Temporal Scales from Space (1183923)
Clément Guilloteau, University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States and Efi Foufoula-Georgiou, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, United States
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