H53I:
Advances in Hydrologic Prediction Toward Water Resources Decision Making III

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Session ID#: 16859

Session Description:
Numerous efforts have been made recently to improve short term, medium range and inter-annual hydroclimatic forecasts in terms of accuracy, information content, and spatial and temporal resolution and scope. This session is particularly focused on understanding and improving meteorological and hydrological predictability, how their uncertainties can translate into water resources decision-making, and onto other sectors (e.g. agriculture, energy). We encourage contributions that describe specific techniques and end-to-end systems, related to:

  • Hydroclimatic Forecasts: hydrological modeling, model parameter estimation, downscaling and calibration of forecasts, data assimilation, post-processing for streamflow forecasts
  • Decision support strategies: end-to-end approaches for water resources planning and management, optimization of operations, visualization and communication under uncertainty
  • Application to other sectors e.g. customization for hydropower operations optimization/unit dispatch/new assets siting.

Perspectives on climate change influences in these areas are also welcome. This session is offered in support of the Hydrologic Ensemble Prediction Experiment (HEPEX; www.hepex.org).

Primary Convener:  Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, United States
Conveners:  Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States, Paul J Block, University of Wisconsin Madison, Department of Civil and Environmental Engineering, Madison, United States and Maria-Helena Ramos, IRSTEA, Antony Cedex, France
Chairs:  Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, United States, Andrea Castelletti, Politecnico di Milano, Milano, Italy, Ximing Cai, University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, United States and Hamid Moradkhani, Portland State University, Portland, OR, United States
OSPA Liaison:  Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • IN - Earth and Space Science Informatics
  • NH - Natural Hazards
Index Terms:

Abstracts Submitted to this Session:

Daniel Luna1, Felipe Hernandez2, Rui Wang3, Yao Liang4, William L Teng5 and Xu Liang1, (1)University of Pittsburgh, Department of Civil and Environmental Engineering, Pittsburgh, PA, United States, (2)University of Pittsburgh, Pittsburgh, PA, United States, (3)Indiana University Purdue University, Department of Computer and Information Science, Indianapolis, IN, United States, (4)Indiana University, Department of Computer Science, Indianapolis, United States, (5)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States
Sankar Arumugam1, Anderson Queiroz2, Jason Patskoski3, Kumar Mahinthakumar3 and Joseph DeCarolis3, (1)North Carolina State University Raleigh, Department of Civil, Construction, and Environmental Engineering, Raleigh, NC, United States, (2)North Carolina State University, Civil, Construction, and Environmental Engineering, Raleigh, United States, (3)NC State Univ-Civil & Env Engr, Raleigh, NC, United States
Manuel Pulido-Velazquez, Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain and Hector Macian-Sorribes, Universitat Politècnica de València, Valencia, Spain
Richard Arsenault, Pascal Côté and Marco Latraverse, Rio Tinto, Quebec Power Operations, Jonquiere, QC, Canada
Scott L Sellars, Scripps Institution of Oceanography, Center for Western Weather and Water Extremes, La Jolla, CA, United States, David Reynolds, University of Colorado, Boulder, CO, United States, Brian Kawzenuk, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego, La Jolla, United States and F Martin Ralph, Scripps Institution of Oceanography, La Jolla, CA, United States
James Bennett1, David E Robertson2, Qj Wang3, Ming Li4, Durga Lal Shrestha3 and CSIRO Water forecasting, (1)Organization Not Listed, Washington, DC, United States, (2)CSIRO Environment, Clayton, 3168, VIC, Australia, (3)CSIRO, Land & Water, Clayton, Australia, (4)CSIRO, Data61, Floreat, Australia
Chris Delaney1, Robert K Hartman2, John Mendoza3, Kyle M. Evans4 and Simone Evett4, (1)Sonoma Water, Santa Rosa, CA, United States, (2)National Weather Service Sacramento, Sacramento, CA, United States, (3)Sonoma County Water Agency, Santa Rosa, United States, (4)Sonoma County Water Agency, Santa Rosa, CA, United States
Sunghee Kim1, Reza Ahmad Limon2, Babak Alizadeh3, Dong-Jun Seo2, Tyler Joseph Fincannon4, Arne M E Winguth4, James Brown5, Laura Blaylock6, Mary Lampe6, Andrew Philpott7 and Frank Bell8, (1)University of Texas at Arlington, Arlington, TX, United States, (2)University of Texas at Arlington, Civil Engineering, Arlington, TX, United States, (3)Stantec Consulting Ltd, Civil Engineering, Plano, United States, (4)University of Texas at Arlington, Earth & Environ. Sci., Arlington, TX, United States, (5)Hydrologic Solutions Limited, Southampton, United Kingdom, (6)Tarrant Regional Water District, Fort Worth, TX, United States, (7)NOAA/NWS/West Gulf River Forecast Center, Fort Worth, United States, (8)NOAA/NWS/West Gulf River Forecast Center, Fort Worth, TX, United States

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