H33E
Predictions, Models, and Hydrological Information: How Much Certainty Should We Expect in an Uncertain World? II Posters

Wednesday, 16 December 2015: 13:40-18:00
Poster Hall (Moscone South)
Primary Conveners:  Jim E Freer, University of Bristol, Bristol, United Kingdom
Conveners:  Tianfang Xu, University of Illinois at Urbana Champaign, Urbana, IL, United States, Doerthe Tetzlaff, University of Aberdeen, Aberdeen, United Kingdom and Grey S Nearing, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Chairs:  Doerthe Tetzlaff, University of Aberdeen, Aberdeen, United Kingdom and Tianfang Xu, University of Illinois at Urbana Champaign, Urbana, IL, United States
OSPA Liaisons:  Jim E Freer, University of Bristol, Bristol, United Kingdom
 
Time Domain Transformations to Improve Hydrologic Model Consistency: Parameterization in Flow-Corrected Time (74588)
Tyler J Smith, Clarkson University, Potsdam, NY, United States, Lucy Amanda Marshall, University of New South Wales, Sydney, NSW, Australia and Brian L McGlynn, Duke University, Nicholas School of the Environment, Durham, NC, United States
 
A Systematic Assessment of the Relationship Between the Complexity and Fidelity of Hydrological Models (66556)
Nans Addor1, Martyn P Clark1 and Bart Nijssen2, (1)Hydrometeorological Applications Program, Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States, (2)University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, United States
 
Probabilistic Streamflow Forecasting Based on Generalized Likelihood Uncertainty Estimation and Bayesian Model Average in Huangnizhuang Basin (64287)
Yi-Ming HU, Hui Huang and Jun Wang, Hohai University, Nanjing, China
 
An Enhanced Sampling Strategy for High-Dimensional Models: Do We Really Need to Maximize Sample Spread for Efficient Parameter Screening Using the Method of Morris? (71214)
Yogesh P Khare, University of Florida, Agricultural and Biological Engineering, Gainesville, FL, United States
 
Where does the uncertainty come from? Attributing Uncertainty in Conceptual Hydrologic Modelling (64370)
Syed Abu Shoaib, Lucy Amanda Marshall and Ashish Sharma, University of New South Wales, Sydney, NSW, Australia
 
A Probabilistic Approach for Analysis of Modeling Uncertainties in Quantification of Trading Ratios in Nonpoint to Point Source Nutrient Trading Programs (84873)
Ali Tasdighi and Mazdak Arabi, Colorado State University, Fort Collins, CO, United States
 
How uncertain are the process parameterizations in our models? (75805)
Shervan Gharari1,2, Hoshin Vijai Gupta3, Fabrizio Fenicia4, Markus Hrachowitz5, Patrick Matgen2 and Hubert Savenije1, (1)Delft University of Technology, Delft, 5612, Netherlands, (2)Luxembourg Institute of Science and Technology, Belvaux, Luxembourg, (3)University of Arizona, Tucson, AZ, United States, (4)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland, (5)Delft University of Technology, Delft, Netherlands
 
Reducing the predictive uncertainty associated with groundwater management decision-making in the Perth regional aquifer system of Western Australia (77560)
Adam J Siade, University of Western Australia, School of Earth and Environment, Crawley, WA, Australia; National Center for Groundwater Research and Training, Adelaide, Australia
 
Beyond Rainfall Multipliers: Describing Input Uncertainty as an Autocorrelated Stochastic Process Improves Inference in Hydrology (67850)
Dario Del Giudice, Carlo Albert, Peter Reichert and Joerg Rieckermann, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland
 
How do rainfall multipliers affect the accuracy and precision of hydrological models? (77789)
Diana Carolina Fuentes Andino1, Keith Beven2, Anna Kauffeldt1, Giuliano Di Baldassarre1, Chong-Yu Xu3 and Sven Halldin1, (1)Uppsala University, Uppsala, Sweden, (2)University of Lancaster, Lancaster, United Kingdom, (3)University of Oslo, Oslo, Norway
 
Uncertainty Assessment in Climate Change Simulation of Ganges Basin (68289)
Jisha Joseph1, Amey Pathak1 and Subimal Ghosh2, (1)Indian Institute of Technology Bombay, Mumbai, India, (2)Indian Institute of Technology Bombay, Department of Civil engineering, Mumbai, India
 
Implications of Changes in Precipitation Amount and Pattern for Water Resources: Global Study of Rainwater Harvesting Systems (84012)
Behzad Asadieh and Nir Krakauer, CUNY City College, New York, NY, United States
 
Characterizing Macro Scale Patterns Of Uncertainty For Improved Operational Flood Forecasting Over The Conterminous United States (81636)
Humberto J Vergara, University of Oklahoma Norman Campus, Norman, OK, United States
 
Probabilistic Downscaling Methods for Developing Categorical Streamflow Forecasts using Climate Forecasts (67990)
Amir Hossein Mazrooei, North Carolina State University Raleigh, Raleigh, NC, United States
 
Prediction of regional flow duration curves: geostatistical techniques versus multivariate regression (64376)
Alessio Pugliese1, William Hastings Farmer2, Attilio Castellarin1, Stacey A Archfield3 and Richard M Vogel4, (1)University of Bologna, Bologna, Italy, (2)USGS Colorado Water Science Center Denver, Denver, CO, United States, (3)USGS Groundwater Information, Reston, VA, United States, (4)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
 
Uncertainty Assessment of Rainfall-Runoff Modelling Using Quantile Regression Method in Huangchuan Basin (64268)
Zhongmin Liang, Jun Wang and Yi-Ming HU, Hohai University, Nanjing, China
 
Predicting Streamflow from Fractal Geometric Encodings of Yearly and Decadal Records (63932)
Carlos E Puente1, Mahesh Maskey1, Bellie Sivakumar2 and Andrea Cortis3, (1)University of California Davis, Davis, CA, United States, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia, (3)AYASDI Inc., Houston, TX, United States
 
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