Understanding the Interface Between Models and Data III Posters

Monday, 15 December 2014: 1:40 PM-6:00 PM
Chairs:  Benjamin L Ruddell, Arizona State University, Tempe, AZ, United States and Kenneth W Harrison, UMD ESSIC/NASA GSFC, Greenbelt, MD, United States
Primary Conveners:  Grey S Nearing, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Co-conveners:  Benjamin L Ruddell, Arizona State University, Tempe, AZ, United States, Jasper A Vrugt, UC-Irvine, Irvine, CA, United States and Kenneth W Harrison, UMD ESSIC/NASA GSFC, Greenbelt, MD, United States
OSPA Liaisons:  Grey S Nearing, NASA Goddard Space Flight Center, Greenbelt, MD, United States

Abstracts Submitted to this Session:

An Approach for Improving Prediction in River System Models Using Bayesian Probabilities of Parameter Performance
Shaun sang ho Kim1, Justin D Hughes1, Jie Chen2, Dushmanta Dutta1 and Jai Vaze3, (1)CSIRO Land and Water Canberra, Canberra, 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.
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
Shanshan Meng and Xianhong Xie, Beijing Normal University, Beijing, China
Soil Hydraulic Properties Modeled from Meter to Kilometer Scales Based on in Situ and SMOS Soil Moisture Data
Peter J Shellito, University of Colorado at Boulder, Boulder, CO, United States, Eric E Small, Univ of Colorado Boulder, Boulder, CO, United States and Ethan D Gutmann, National Center for Atmospheric Research, Boulder, CO, United States
Challenges in Alpine Watershed Modeling Associated with Q Similarity to the P – Q – ET Residual
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, Fresno, 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
Baoxiang Pan and Zhentao Cong, Tsinghua University, Beijing, China
UQLab - A Software Platform for Uncertainty Quantification of Complex System Models
Chen Wang, Qingyun Duan and Wei Gong, Beijing Normal University, Beijing, China
Typecasting catchments: Universal donors and acceptors
Tyler J Smith, Clarkson University, Potsdam, NY, United States, Lucy Amanda Marshall, University of New South Wales, Sydney, 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
Tianfang Xu, University of Illinois at Urbana Champaign, Urbana, IL, United States and Albert J Valocchi, Univ Illinois, Urbana, IL, United States
Quantifying the Uncertainty in Discharge Data Using Hydraulic Knowledge and Uncertain Gaugings
Benjamin Renard1, Jérôme LeCoz1, Laurent Bonnifait2, Flora Branger1, Raphaël Le Boursicaud1, Ivan Horner1, Valentin Mansanarez1 and Michel Lang1, (1)IRSTEA Lyon, Villeurbanne Cedex, France, (2)CEREMA, Trappes, France
Multi-Site Model Benchmarking: Do Land Surface Models Leak Information?
David M Mocko1,2, Grey S Nearing1,2 and Sujay Kumar1,2, (1)SAIC, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Pareto optimal calibration of highly nonlinear reactive transport groundwater models using particle swarm optimization
Adam J Siade1,2, Henning Prommer2,3 and Dave Welter4, (1)National Center for Groundwater Research and Training, Adelaide, Australia, (2)University of Western Australia, School of Earth and Environment, Crawley, WA, Australia, (3)CSIRO Land and Water, Perth, Australia, (4)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
Tony E Wong1, David C 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)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States
Many-Criterion Calibration of Hydrologic Models Using Hydrological Signatures
Mahyar Shafii Hassanabadi and Bryan Tolson, University of Waterloo, Waterloo, ON, Canada
The effect of uncertainty and systematic errors in hydrological modelling
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
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
Felipe Hernandez, University of Pittsburgh Pittsburgh Campus, Pittsburgh, PA, United States and Xu Liang, Univ of Pittsburgh, Pittsburgh, PA, United States
Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation
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
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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