H21M:
Global Precipitation Measurement, Validation, and Applications IV


Session ID#: 10522

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, Gail Skofronick Jackson, NASA-GSFC, Greenbelt, MD, United States and Walter Arthur Petersen, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Chairs:  Pierre Kirstetter, University of Oklahoma Norman Campus, Norman, United States, Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States and Walter Arthur Petersen, NASA Goddard Space Flight Center, Greenbelt, MD, United States
OSPA Liaison:  Pierre Kirstetter, University of Oklahoma Norman Campus, Norman, 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:

Satellite Rainfall Estimation: The Role of Integrated (Hydrologic) Validation (Invited) (62249)
Witold F Krajewski, University of Iowa, Iowa City, IA, United States
Use of GPM Data Products in SERVIR Hydrological Applications (Invited) (67534)
Ashutosh S Limaye1, Faith Mithieu2, Deo Raj Gurung3, Clay B Blankenship4, William L Crosson5, Eric Ross Anderson6, Africa Ixmucane Flores Anderson7, Francisco Jose Delgado8, Kris Stanton4 and Daniel Irwin9, (1)NASA Marshall Space Flight Center, Huntsville, AL, United States, (2)Regional Centre for Mapping of Resources for Development, Nairobi, Kenya, (3)International Center for Integrated Mountain Development, Kathmandu, Nepal, (4)USRA, Huntsville, AL, United States, (5)Universities Space Research Association at NASA/MSFC, Huntsville, AL, United States, (6)University of Alabama in Huntsville, Earth System Science Center, Huntsville, United States, (7)McGill University, Natural Resource Sciences, Montreal, Canada, (8)USRA, NASA-SERVIR, Huntsville, United States, (9)NASA Marshall Space Flight Center, SERVIR Science Coordination Office, Huntsville, United States
TRMM and GPM: Radar Observations and Simulations with the Local Analysis and Prediction System (LAPS) (65308)
Steven C Albers1,2, Kirk Holub3 and Yuanfu Xie2, (1)Cooperative Institute for Research in the Atmosphere, Retired, Fort Collins, United States, (2)NOAA, ESRL, Boulder, CO, United States, (3)NOAA, GSD, Boulder, CO, United States
Hydrologic Evaluation of NWP-adjusted Satellite Rainfall over Mountainous Areas (65051)
Xinxuan Zhang, University of Connecticut, Department of Civil & Environmental Engineering, Groton, CT, United States, Emmanouil N Anagnostou, University of Connecticut, Department of Civil and Environmental Engineering, Storrs Mansfield, United States and Humberto J Vergara, PhD, University of Oklahoma Norman Campus, Norman, OK, United States
Status of High Latitude Precipitation Estimates: The Role of GPM in Advancing our Current Understanding (69409)
Ali Behrangi1, Mark Richardson2, Matthew Christensen3, George John Huffman4, Robert F Adler5, Graeme L Stephens3 and Bjorn Lambrigtsen3, (1)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)University of California Los Angeles, Los Angeles, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)University of Maryland College Park, College Park, MD, United States
Initial Results in Global Flood Monitoring Using GPM Data (70445)
Robert F Adler, University of Maryland College Park, College Park, MD, United States and Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China
Long-term Variability in ITCZ Characteristics from an Automated Objective Identification Algorithm (75144)
Kyle Wodzicki, Texas A & M University College Station, College Station, TX, United States and Anita D Rapp, Texas A&M University College Station, Atmospheric Sciences, College Station, TX, United States
Improving warm rain estimation in the PERSIANN-CCS satellite-based retrieval algorithm (83794)
Negar Karbalaee, The University of Oklahoma, Norman, CA, United States, Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States and Soroosh Sorooshian, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States

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