H11O:
Global Precipitation Measurement, Validation, and Applications I


Session ID#: 10520

Session Description:
Measurements of global precipitation are necessary for monitoring earth’s water resources and the global hydrologic cycle, understanding climate variability, and improving weather prediction. The Global Precipitation Measurement (GPM) Mission, launched in Feb 2014, is designed to provide the next-generation of unified global precipitation products with accuracies and data latencies essential for research and integrated hydrometeorological applications, along with decades of hierarchy of satellite rain measurements. This session invites contributions in ALL areas of precipitation science including retrieval algorithms, ground validation, intersensor calibration and data fusion, and data utilization in hydrologic, weather, climate, and related societal applications.
Primary Convener:  Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States
Conveners:  Ramesh K Kakar, NASA Headquarters, Washington, DC, United States and Gail Skofronick Jackson, NASA-GSFC, Greenbelt, MD, United States
Chairs:  Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States, Ramesh K Kakar, NASA Headquarters, Washington, DC, United States and Gail Skofronick Jackson, NASA-GSFC, Greenbelt, MD, United States
OSPA Liaison:  Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • IN - Earth and Space Science Informatics
  • NH - Natural Hazards
Index Terms:

1854 Precipitation [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
3354 Precipitation [ATMOSPHERIC PROCESSES]
4303 Hydrological [NATURAL HAZARDS]

Abstracts Submitted to this Session:

PRECIPITATION ESTIMATION USING COMBINED RADAR AND MICROWAVE RADIOMETER OBSERVATIONS FROM GPM- IMPROVEMENTS AND INITIAL VALIDATION (Invited) (64534)
William S Olson1, Mircea Grecu2, Stephen J Munchak3, Kwo-Sen Kuo4, Benjamin T Johnson5, Ziad S Haddad6, Lin Tian7, Liang Liao7, Bartie L Kelley8 and Sarah Ringerud9, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States, (3)Colorado State University, Fort Collins, United States, (4)Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, (5)NOAA College Park, College Park, MD, United States, (6)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (7)Morgan State University, Greenbelt, MD, United States, (8)Science Systems and Applications, Inc., Lanham, MD, United States, (9)NASA Goddard Space Flight Center, Greenbelt, United States
Database Construction for GPM Constellation Precipitation Retrievals Using Core Satellite Combined Microwave Radar-Radiometer Observations (73581)
Sarah Ringerud, NASA Goddard Space Flight Center, Greenbelt, United States and Christian Kummerow, Colorado State University, Fort Collins, CO, United States
Intercalibration of the GPM Constellation Using GMI as a Reference (67463)
Wesley K Berg, Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States
The First Year of Day-1 IMERG Data and Future Directions (63355)
George John Huffman1, David T Bolvin2, Dan Braithwaite3, Kuo-lin Hsu4, Robert Joyce5, Christopher Kidd6, Eric Nelkin2, Soroosh Sorooshian7 and Pingping Xie8, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Science Systems and Applications, Inc., Lanham, United States, (3)University of California Irvine, Irvine, CA, United States, (4)Univ California Irvine, Irvine, CA, United States, (5)NOAA/NCEP/CPC, Boca Raton, FL, United States, (6)Earth System Science Interdisciplinary Center, College PARK, MD, United States, (7)University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (8)NOAA/NCEP, College Park, United States
A Self-Consistent Radiative Transfer Model for Simulating Active and Passive Observations of Precipitation (79245)
Ian S Adams, US Naval Research Laboratory, Washington, DC, United States
Precipitation Retrievals for GMI with Consideration of Multi-viewing Directions Based on 3-D and 1-D Radiative Transfer Models (76401)
Dong-Bin Shin, Yonsei University, Department of Atmospheric Sciences, Seoul, Korea, Republic of (South), Yeji Choi, Yonsei University, Seoul, South Korea and Min-Su Joh, KISTI Korea Institute of Science and Technology Information, Disaster Management HPC Technology Research Center, Daejeon, Korea, Republic of (South)
Rainfall Microwave Spectral Atoms: A New Class of Bayesian Algorithms for Passive Retrieval (76636)
Ardeshir Ebtehaj, University of Minnesota Twin Cities, Minneapolis, United States, Efi Foufoula-Georgiou, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, United States and Rafael L Bras, Georgia Institute of Technology, School of Civil & Environmental Engineering, Atlanta, United States
Refining the Technical Components for the Second Generation CMORPH: LEO-IR Based Precipitation Estimates and Cloud Motion Vector (66192)
Robert Joyce, NOAA/NCEP/CPC, Boca Raton, FL, United States, Pingping Xie, NOAA/NCEP, College Park, United States and Shaorong Wu, Wyle-CPC/NCEP/NOAA, College Park, United States

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