H13F:
Understanding the Interface Between Models and Data III Posters

Session ID#: 2217

Monday, 15 December 2014: 1:40 PM-6:00 PM
Not an Option (Moscone West)
Chairs:  Benjamin L Ruddell, Arizona State University, Tempe, AZ, United States and Kenneth W Harrison, UMD ESSIC/NASA GSFC, Greenbelt, MD, United States
Primary Convener:  Dr. Grey Stephen Nearing, PHD, Upstream Tech, Tuscaloosa, United States
Co-conveners:  Benjamin L Ruddell, Arizona State University, Tempe, AZ, United States, Jasper A Vrugt, UC-Irvine, Irvine, United States and Kenneth W Harrison, UMD ESSIC/NASA GSFC, Greenbelt, MD, United States
OSPA Liaison:  Dr. Grey Stephen Nearing, PHD, Upstream Tech, Tuscaloosa, United States
Index Terms:
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

 
An Approach for Improving Prediction in River System Models Using Bayesian Probabilities of Parameter Performance (4511)
Shaun sang ho Kim1, Justin D Hughes1, Jie Chen2, Dushmanta Dutta1 and Jai Vaze3, (1)CSIRO Land and Water Canberra, Canberra, ACT, Australia, (2)CSIRO Land and Water, Canberra, Australia, (3)CSIRO Commonwealth Scientific and Industrial Research Organization, Canberra, Australia
 
Applying 2D Bias Correction Method to Gridded Simulations of Precipitation and Temperature over Southeastern South America. (5435)
Natalia Montroull1, Claudio Piani2 and Ramiro I Saurral1, (1)Centro de Investigaciones del Mar y la Atmósfera (CONICET-UBA), UMI IFAECI/CNRS, Buenos Aires, Argentina, (2)American University inParis, Paris, France
 
Estimating Parameters in Real-Time Under Changing Conditions Via the Ensemble Kalman Filter Based Method (9346)
Shanshan Meng and Xianhong Xie, Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, Beijing, China
 
Soil Hydraulic Properties Modeled from Meter to Kilometer Scales Based on in Situ and SMOS Soil Moisture Data (9618)
Peter J Shellito, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, Eric E Small, University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States and Ethan D Gutmann, NSF National Center for Atmospheric Research, Boulder, United States
 
Challenges in Alpine Watershed Modeling Associated with Q Similarity to the P – Q – ET Residual (9812)
Steven M Jepsen1, Thomas C Harmon1,2, Carolyn T Hunsaker3, Matthew W Meadows1 and Yuning Shi4, (1)University of California Merced, Sierra Nevada Research Institute, Merced, CA, United States, (2)University of California Merced, School of Engineering, Merced, CA, United States, (3)USDA Forest Service, Pacific Southwest Research Station, Vallejo, CA, United States, (4)The Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States
 
Monthly Hydrological Model Evaluation through Mapping the Hydrological Pattern to Information Space (11321)
Baoxiang Pan, Tsinghua University, Beijing, China and Zhentao Cong, Tsinghua University, Department of Hydraulic Engineering, Beijing, China
 
UQLab - A Software Platform for Uncertainty Quantification of Complex System Models (12405)
Chen Wang, Beijing Normal University, Beijing, China, Qingyun Duan, Hohai University, Nanjing, China and Wei Gong, Beijing Normal University, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Sciences, Beijing, China
 
Typecasting catchments: Universal donors and acceptors (12506)
Tyler J Smith, Clarkson University, Department of Civil & Environmental Engineering, Potsdam, NY, United States, Lucy Amanda Marshall, University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia and Brian L McGlynn, Duke University, Nicholas School of the Environment, Durham, NC, United States
 
A Fully Bayesian Approach to Improved Calibration and Prediction of Groundwater Models With Structure Error (14320)
Tianfang Xu, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, United States and Albert J Valocchi, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, Urbana, United States
 
Quantifying the Uncertainty in Discharge Data Using Hydraulic Knowledge and Uncertain Gaugings (15384)
Benjamin Renard1, Jérôme Le Coz1, Laurent Bonnifait2, Flora Branger3, Raphaël Le Boursicaud4, Ivan Horner4, Valentin Mansanarez4 and Michel Lang5, (1)INRAE, RECOVER, Aix Marseille University, Aix-En-Provence, France, (2)CEREMA, Trappes, France, (3)INRAE Lyon, RiverLy, Villeurbanne, France, (4)IRSTEA Lyon, Villeurbanne Cedex, France, (5)RiverLy, INRAE, Lyon-Villeurbanne, France
 
Multi-Site Model Benchmarking: Do Land Surface Models Leak Information? (17651)
David M Mocko, SSAI, Greenbelt, United States; NASA/GSFC Hydrological Sciences Laboratory, Greenbelt, United States, Dr. Grey Stephen Nearing, PHD, Upstream Tech, Tuscaloosa, United States; SAIC, Greenbelt, MD, United States and Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, MD, United States; NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
 
Pareto optimal calibration of highly nonlinear reactive transport groundwater models using particle swarm optimization (19912)
Adam J Siade, Commonwealth Scientific and Industrial Research Organisation, Environment, Floreat, Western Australia, Australia; University of Western Australia, School of Earth and Environment, Crawley, WA, Australia, Henning Prommer, University of Western Australia, School of Earth and Environment, Perth, WA, Australia; CSIRO Land and Water, Wembley, Australia and Dave Welter, Computational Water Resource Engineering, Stuart, FL, United States
 
Optimization of Modeled Land-Atmosphere Exchanges of Water and Energy in an Isotopically-Enabled Land Surface Model by Bayesian Parameter Calibration (26556)
Tony E Wong1, David Noone2,3 and William Kleiber1, (1)University of Colorado at Boulder, Applied Math, Boulder, CO, United States, (2)Oregon State University, College of Earth, Ocean and Atmospheric Sciences, Corvallis, OR, United States, (3)College of Earth, Ocean, and Atmospheric Science, Corvallis, OR, United States
 
Many-Criterion Calibration of Hydrologic Models Using Hydrological Signatures (27614)
Mahyar Shafii, University of Waterloo, Ecohydrology Research Group, Waterloo, ON, Canada and Bryan Tolson, University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada
 
The effect of uncertainty and systematic errors in hydrological modelling (27623)
Ingelin Steinsland1, Kolbjørn Engeland2, Stian Solvang Johansen3, Asgeir Øverleir-Petersen3 and Sjur A. Kolberg4, (1)Norwegian University of Science and Technology, Trondheim, Norway, (2)Norwegian Water Resources and Energy Directorate, Oslo, Norway, (3)Statkraft, Oslo, Norway, (4)SINTEF Energy Research, Trondheim, Norway
 
One-Day Offset between Simulated and Observed Daily Hydrographs: An Exploration of the Issue in Automatic Model Calibration (28094)
Masoud Asadzadeh1,2, Luis Leon1 and Wanhong Yang2, (1)Environment Canada Toronto, Toronto, ON, Canada, (2)University of Guelph, Geography, Guelph, ON, Canada
 
Balancing Particle Diversity in Markov Chain Monte Carlo Methods for Dual Calibration-Data Assimilation Problems in Hydrologic Modeling (29486)
Felipe Hernandez, University of Pittsburgh Pittsburgh Campus, Pittsburgh, PA, United States and Xu Liang, University of Pittsburgh, Civil and Environmental Engineering, Pittsburgh, United States
 
Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation (31175)
Aneesh Goly and Ramesh S V Teegavarapu, Florida Atlantic University, Civil, Environmental and Geomatics Engineering, Boca Raton, FL, United States
 
Determination of Watershed Lag Equation for Philippine Hydrology (31931)
Fatima Real Cipriano, Alfredo Mahar Francisco Amante Lagmay, Christopher Uichanco, Jerico Mendoza, Glenn Sabio, Kenneth Nino Punay, Mary Rose Oquindo and Matt Horritt, Nationwide Operational Assessment of Hazards, Quezon City, Philippines
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