H24E:
Utilizing Precipitation Data Sets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications III


Session ID#: 10572

Session Description:
This session seeks contributions from the research, operational, and user communities that utilize precipitation datasets in applications that address scientific and societal needs from flood forecasts to climate impact studies. Uncertainties in precipitation data have a significant impact on the usefulness of these applications.  This session also seeks contributions that present advances in error characterization and uncertainty quantification in diverse precipitation datasets and to enhance our understanding on how the uncertainties propagate to hydrological processes and thus affecting the modeling and data-assimilation in these applications. The session can host broad topics including evaluation efforts.  Presentations that present precipitation applications and various error components in precipitation datasets are welcome.
Primary Convener:  Paul A Kucera, National Center for Atmospheric Research, Boulder, CO, United States
Conveners:  Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Emad H Habib, University of Louisiana at Lafayette, Civil Engineering, Lafayette, LA, United States and Yudong Tian, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Chairs:  Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Yudong Tian, NASA Goddard Space Flight Center, Greenbelt, MD, United States
OSPA Liaison:  Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • NH - Natural Hazards
Index Terms:

1807 Climate impacts [HYDROLOGY]
1833 Hydroclimatology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1854 Precipitation [HYDROLOGY]

Abstracts Submitted to this Session:

A Multi-Faceted View of GPM GV in the Post-Launch Era (Invited) (60984)
Walter Arthur Petersen, NASA MSFC, Science Research and Projects Office, Huntsville, AL, United States and GPM Ground Validation Team
CMORPH Global High-Resolution Precipitation Estimates: Reprocessing, Bias Correction, and Error Quantification (Invited) (66237)
Pingping Xie, NOAA/NCEP Climate Prediction Center, College Park, MD, United States, Robert Joyce, NOAA/NCEP/CPC, Boca Raton, FL, United States and Shaorong Wu, Wyle-CPC/NCEP/NOAA, College Park, United States
A Geostatistical Framework for Estimating Rain Intensity Fields Using Dense Rain Gauge Networks (69156)
Lionel Benoit and Grégoire Mariethoz, University of Lausanne, Lausanne, Switzerland
Merging Radar Quantitative Precipitation Estimates (QPEs) from the High-resolution NEXRAD Reanalysis over CONUS with Rain-gauge Observations (82010)
Olivier P Prat1,2, Brian R Nelson3, Scott E Stevens2, Elsa Nickl4, Dong-Jun Seo5, Beomgeun Kim5, Jian Zhang6 and Youcun Qi7, (1)North Carolina Institute for Climate Studies, North Carolina State University, Asheville, United States, (2)CICS-NC/NCSU, Asheville, NC, United States, (3)NOAA/NCEI/CWC, Asheville, NC, United States, (4)University of Delaware, College of Earth, Ocean and Environment, Newark, DE, United States, (5)University of Texas at Arlington, Arlington, TX, United States, (6)NOAA/NSSL, Norman, OK, United States, (7)CIMMS/OU, Norman, OK, United States
Urban Modification of Rainfall: St. Louis Revisited (77271)
James A Smith1, Mary Lynn Baeck2, Long Yang3, Zhengzheng Zhou4, Julia Signell5 and Marc Schleiss5, (1)Princeton University, Geosciences, Princeton, NJ, United States, (2)Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States, (3)Nanjing University, Nanjing, China, (4)Tongji University, Deparment of Hydraulic Engineering, Shanghai, China, (5)Princeton University, Princeton, NJ, United States
Using Remote Sensing to Understand the Joint Probability of Extreme Rainfall and Flood Response (78718)
Daniel B Wright, University of Wisconsin-Madison, Madison, United States, Ricardo Mantilla, University of Manitoba, Manitoba, Canada and Christa D Peters-Lidard, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Reducing Uncertainties of Hydrologic Model Predictions Using a New Ensemble Pre-Processing Approach (63684)
Sepideh Khajehei, Portland State University, Portland, OR, United States and Hamid Moradkhani, The University of Alabama, Tuscaloosa, United States
Evaluating Satellite Rainfall Retrievals for Tropical Convective Regimes: Case Analysis from Kwajalein Atoll (77144)
David S Henderson, Colorado State University, Fort Collins, United States and Christian Kummerow, Colorado State University, Department of Atmospheric Science, Fort Collins, United States

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