H34A:
Advances in Hydrometeorological Predictions and Applications I

Session ID#: 4833

Wednesday, 17 December 2014: 4:00 PM-6:00 PM
3018 (Moscone West)
Chairs:  Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States, Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States and Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
Primary Convener:  Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
Co-conveners:  Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States, Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States and Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
OSPA Liaison:  Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • NH - Natural Hazards
Virtual Option?: Yes
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

Short-Term Multi-Stage Stochastic Optimization of Hydropower Reservoirs Under Meteorological Uncertainty (Invited) (4536)
Dirk Schwanenberg, Deltares, Delft, Netherlands, Steffi Naumann, Fraunhofer IOSB-AST, Department of Surface Water and Maritime Systems, Ilmenau, Germany and Christopher Allen, Bonneville Power Administration, Portland, OR, United States
A spatial regionalisation approach to reduce uncertainty in climate model bias correction (12428)
Fiona Johnson, University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
Maximizing Statistical Power When Verifying Probabilistic Forecasts of Hydrometeorological Events (26625)
Caleb M DeChant, Portland State University, Civil and Environmental Engineering, Portland, OR, United States and Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
Model averaging methods to merge statistical and dynamic seasonal streamflow forecasts in Australia (11896)
Andrew Schepen, CSIRO Land and Water, Dutton Park QLD 4102, Australia and Wang Q J, CSIRO Land and Water, Highett VIC 3190, Australia
Predicting the Hydrologic Response of the Columbia River System to Climate Change (13420)
Oriana Chegwidden1, Dr. Joseph Hamman, PhD2, Mu Xiao1, Fnu Ishottama1, Se-Yeun Lee3, Matt R Stumbaugh1, Philip Mote4, Dennis P Lettenmaier5 and Bart Nijssen1, (1)University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Washington, Climate Impacts Group, Seattle, WA, United States, (4)Oregon State University, Oregon Climate Change Research Institute, Corvallis, OR, United States, (5)University of California, Los Angeles, Los Angeles, CA, United States
Did Climate Change Cause the 2012-2014 California Drought? (13557)
Yixin Mao1, Elizabeth Clark2, Mu Xiao3, Bart Nijssen1 and Dennis P Lettenmaier4, (1)University of Washington, seattle, WA, United States, (2)University of California, Los Angeles (effective Nov., 2014), Dept. of Geography, Los Angeles, CA, United States, (3)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States, (4)University of California, Los Angeles, Los Angeles, CA, United States
Very High Resolution Climate Change Projections for Hydrologic Impacts Assessments over the Lake Champlain Basin in Vermont (28344)
Jonathan Winter1, Brian Beckage2 and Gabriela Bucini2, (1)Dartmouth College, Department of Geography, Hanover, NH, United States, (2)University of Vermont, Burlington, VT, United States
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