H52F:
Utilizing Precipitation Data Sets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications II

Session ID#: 4950

Friday, 19 December 2014: 10:20 AM-12:20 PM
3022 (Moscone West)
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
Primary Convener:  Paul A Kucera, NCAR, Boulder, United States
Co-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
OSPA Liaison:  Paul A Kucera, NCAR, Boulder, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
Index Terms:

1840 Hydrometeorology [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
3354 Precipitation [ATMOSPHERIC PROCESSES]
Virtual Option?: No

Abstracts Submitted to this Session:

Assessment of Hydrologic Response to Variable Precipitation Forcing: Russian River Case Study (Invited) (6244)
Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States, Chengmin Hsu, University of Colorado at Boulder, Boulder, CO, United States and Lynn E Johnson, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Improving Flood Modeling Applications of Global Reanalysis Precipitation Products through Satellite-driven Downscaling (Invited) (17237)
Emmanouil N Anagnostou, Professor, Civil and Environmental Engineering, Storrs, United States, Hojjat Seyyedi, Aon Benfield, Chicago, IL, United States, Edward Beighley, Northeastern University, Civil and Environmental Engineering, Boston, United States and Jeffrey McCollum, FM Global Research, Norwood, MA, United States
How Well Can We Estimate Error Variance of Satellite Precipitation Data Around the World? (6926)
Abebe S Gebregiorgis, University of Washington Seattle Campus, Seattle, WA, United States and Faisal Hossain, University of Washington Seattle Campus, Department of Civil and Environmental Engineering, Seattle, United States
The Effect of Rainfall Measurement Technique and Its Spatiotemporal Resolution on Discharge Predictions in the Netherlands (5877)
Claudia Brauer1, Aart Overeem2,3, Maximiliano Sassi2,4, Manuel Felipe Rios Gaona2 and Remko Uijlenhoet2, (1)Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands, (2)Wageningen University, Wageningen, Netherlands, (3)Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands, (4)Royal Netherlands Institute for Sea Research, Den Burg, Netherlands
Development of an Ensemble Gridded Hydrometeorological Forcing Dataset over the Contiguous United States (20142)
Andrew James Newman1, Martyn P Clark1, Jason Craig2, Bart Nijssen3, Andrew W Wood4, Ethan D Gutmann5, Naoki Mizukami5, Levi D Brekke6 and Dr. Jeffrey Richard Arnold7, (1)National Center for Atmospheric Research, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, United States, (4)National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States, (5)NSF National Center for Atmospheric Research, Boulder, United States, (6)U.S. Bureau of Reclamation, Denver, United States, (7)U.S. Army Engineer Institute for Water Resources, Univ. of Washington, Seattle, WA, United States
To Grid or Not to Grid… Precipitation Data and Hydrological Modeling in the Khangai Mountain Region of Mongolia (28690)
Niah B. H. Venable, Colorado State University, Fort Collins, CO, United States, Steven R Fassnacht, Colorado State University, Watershed Science, Fort Collins, United States and G. Adyabadam, Mongolian Institute of Meteorology, Hydrology, and the Environment, Ulaanbataar, Mongolia
Hydrologic evaluation of a Generalized Statistical Uncertainty Model for Satellite Precipitation Products (27389)
Sepideh Sarachi1, Kuo-lin Hsu1 and Soroosh Sorooshian2, (1)University of California Irvine, Irvine, CA, United States, (2)University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States
Impact of Precipitation Organization on River Discharge Across North Carolina (29124)
Thomas M Rickenbach, Christopher M Zarzar and Rosana Nieto Ferreira, East Carolina University, Greenville, NC, United States
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