H11D
Efficient Diagnostics, Sensitivity, and Uncertainty Analysis of Complex Environmental Models I Posters

Monday, 14 December 2015: 08:00-12:20
Poster Hall (Moscone South)
Primary Conveners:  Matthias Cuntz, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
Conveners:  Juliane Mai, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany, Dmitri Kavetski, School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, South Australia, Australia and Rafael Rosolem, University of Bristol, Bristol, United Kingdom
Chairs:  Juliane Mai, Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany and Rafael Rosolem, University of Bristol, Bristol, United Kingdom
OSPA Liaisons:  Juliane Mai, Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany
 
pyNSMC: A Python Module for Null-Space Monte Carlo Uncertainty Analysis (60915)
Jeremy White, USGS Texas Water Science Center, Austin, TX, United States
 
Spatially-distributed Calibration of Two Macroscale Hydrologic Models Across the Columbia River Basin (62025)
Oriana Chegwidden, University of Washington Seattle Campus, Seattle, WA, United States, Mu Xiao, University of California Los Angeles, Los Angeles, CA, United States, David E Rupp, Oregon Climate Change Research Institute, Corvallis, OR, United States, Matt R Stumbaugh, University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, United States, Joseph Hamman, Applied Physics Laboratory University of Washington, Seattle, WA, United States, Ming Pan, Princeton University, Princeton, NJ, United States and Bart Nijssen, University of Washington, Seattle, WA, United States
 
Comparison of Two Global Sensitivity Analysis Methods for Hydrologic Modeling over the Columbia River Basin (62793)
Maysoun Hameed, Portland State University, Portland, OR, United States
 
A ‘Large Catchment Sample’ Investigation of the Performance, Reliability and Robustness of Two Conceptual Rainfall-Runoff Models. (63823)
Thibault Mathevet, EDF-DTG, Grenoble, France, Hoshin Vijai Gupta, University of Arizona, Tucson, AZ, United States, Charles Perrin, IRSTEA, HBAN, Antony Cedex, France, Nicolas Le Moine, Universite Pierre et Marie Curie, Paris, France and Vazken Andreassian, IRSTEA, Antony Cedex, France
 
Conceptual and computational challenges in continental-domain hydrologic model parameter estimation: VIC applications over the contiguous USA (71139)
Naoki Mizukami1, Martyn P Clark1, Andrew James Newman2, Bart Nijssen3, Luis E Samaniego4, Levi D Brekke5 and J R Arnold6, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)University Corporation for Atmospheric Research, Boulder, CO, United States, (3)University of Washington Seattle Campus, Seattle, WA, United States, (4)Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, (5)Bureau of Reclamation Denver, Denver, CO, United States, (6)US Army Corps of Engineers, Jacksonville, FL, United States
 
Parameter Identification and Uncertainty Analysis for Visual MODFLOW based Groundwater Flow Model in a Small River Basin, Eastern India (72597)
Suraj Jena, Ph.D. Scholar, School of Earth, Ocean and Climate Sciences, Bhubaneswar, India
 
Efficient Calibration of Distributed Catchment Models Using Perceptual Understanding and Hydrologic Signatures (72710)
Christopher Hutton, University of Bristol, Queen's School of Engineering, Bristol, United Kingdom
 
Variogram Analysis of Response surfaces (VARS): A New Framework for Global Sensitivity Analysis of Earth and Environmental Systems Models (73347)
Saman Razavi, University of Saskatchewan, Saskatoon, SK, Canada and Hoshin Vijai Gupta, University of Arizona, Tucson, AZ, United States
 
Quantifying the Sensitivity of Energy Fluxes to Land Surface Parameter Selection Using the Active Subspace Method (74575)
Jennifer Jefferson1, James M Gilbert1, Reed M Maxwell1 and Paul G Constantine2, (1)Colorado School of Mines, Hydrologic Science and Engineering Program and Department of Geology and Geological Engineering, Golden, CO, United States, (2)Colorado School of Mines, Applied Mathematics and Statistics, Golden, CO, United States
 
Advanced Simulation Capability for Environmental Management (ASCEM): Developments in Uncertainty Quantification and Sensitivity Analysis. (83108)
Shane Wesley McKinney, Los Alamos National Laboratory, EES-16, Los Alamos, NM, United States
 
Hydrograph structure informed calibration in the frequency domain with time localization (84614)
Karthik Kumarasamy and Patrick Belmont, Utah State University, Department of Watershed Sciences, Logan, UT, United States
 
Management of groundwater in-situ bioremediation system using reactive transport modelling under parametric uncertainty: field scale application (85132)
Elicia Verardo, University of Bordeaux 1, Talence, France, Olivier Atteia, Institut Polytechnique de Bordeaux, ENSEGID, Pessac, France and Laurent Rouvreau, Geological survey of France (BRGM), Orleans, France
 
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