H43P:
Advances in Hydrometeorological Predictions and Applications III

Session ID#: 4834

Thursday, 18 December 2014: 1:40 PM-3:40 PM
3022 (Moscone West)
Chairs:  Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States, Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, 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:  Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • NH - Natural Hazards
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

Development of large-ensemble hydrology simulations in support of water resources planning and management (13315)
Martyn P Clark, University of Calgary, Schulich School of Engineering, Department of Civil Engineering, Calgary, AB, Canada and Bart Nijssen, University of Washington, seattle, WA, United States
CBaM : A calibration, bridging and merging method for post-processing GCM forecasts of meteorological variables (Invited) (4982)
Andrew Schepen, CSIRO Land and Water, Dutton Park QLD 4102, Australia, Wang Q J, CSIRO Land and Water, Highett VIC 3190, Australia and David E Robertson, CSIRO Environment, Clayton, 3168, VIC, Australia
Characterizing the Behavior of NOAA’s Hydrologic Ensemble Forecast Service in California (16515)
Minxue He1, Brett Whitin2, James Brown3, Peter Fickenscher2, Arthur Henkel4, Sudhakar Talanki1 and Robert Hartman4, (1)California Department of Water Resources, Sacramento, CA, United States, (2)NOAA/NWS California-Nevada River Forecast Center, Sacramento, United States, (3)Hydrologic Solutions Limited, Southampton, United Kingdom, (4)NOAA/NWS California-Nevada River Forecast Center, Sacramento, CA, United States
Evaluation of North American Multi-Model Ensemble (NMME) Climate Forecasts in China (Invited) (4537)
Qingyun Duan, Hohai University, Nanjing, China, Feng Ma, Beijing Normal University, Beijing, China, Aizhong Ye, Beijing Normal University, Faculty of Geographical Science, Beijing, China and Wei Gong, Beijing Normal University, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Sciences, Beijing, China
A Simple Bayesian Climate Index Weighting Method for Seasonal Ensemble Forecasting (32063)
Allen Bradley1, Mohamed A Habib1 and Stuart S Schwartz2, (1)The University of Iowa, IIHR-Hydroscience & Engineering, Iowa City, IA, United States, (2)CUERE, Baltimore, MD, United States
Toward Improving Predictability of Extreme Hydrometeorological Events: the Use of Multi-scale Climate Modeling in the Northern High Plains (31450)
Francisco Munoz-Arriola1, Jose Torres-Alavez2, Azar Abadi2 and Robert L Walko3, (1)University of Nebraska-Lincoln, Department of Biological Systems Engineering & School of Natural Resources, Lincoln, United States, (2)University of Nebraska-Lincoln, Lincoln, NE, United States, (3)University of Miami, Miami, FL, United States
See more of: Hydrology