H195
Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models III Posters

Wednesday, 16 December 2020: 04:00-20:59
Poster
Primary Convener:  Juliane Mai, University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada
Conveners:  Lucy Amanda Marshall, University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, Mary C Hill, University of Kansas, Geology, Lawrence, KS, United States and Saman Razavi, University of Saskatchewan, Saskatoon, SK, Canada
Primary Liaison:  Juliane Mai, University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada
Chairs:  Juliane Mai, Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, Lucy Amanda Marshall, University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, Mary C Hill, University of Kansas, Geology, Lawrence, KS, United States and Saman Razavi, University of Saskatchewan, Saskatoon, SK, Canada
OSPA Liaison:  Juliane Mai, Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany
 
A Model Ensemble Approach to Explore Structural vs. Parameter Uncertainty in Karst Systems with Unmapped Conduits (679138)
Chloe Fandel1, Ty P A Ferre2, Philippe Renard3, Nico Goldscheider4 and Zhao Chen4, (1)University of Arizona, Tucson, AZ, United States, (2)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (3)University of Neuchâtel, Centre for Hydrogeology and Geothermics, Neuchâtel, Switzerland, (4)Karlsruhe Institute of Technology, Karlsruhe, Germany
 
A robustness comparison of sampling methods for Sobol’ sensitivity analysis of rainfall-runoff models (769568)
Xifu SUN1, Barry F.W. Croke2, Anthony Jakeman3 and Stephen Roberts1, (1)Australian National University, Mathematical Sciences Institute, Canberra, ACT, Australia, (2)Australian National University, Mathematical Sciences Institute; Integrated Catchment Assessment and Management Centre, Canberra, ACT, Australia, (3)Australian National University, Integrated Catchment Assessment and Management Centre, Canberra, ACT, Australia
 
An Automatic Framework for Sensitivity Analysis and Parameter Optimization of the Ecosystem Model Biome-BGC (772448)
Wei Gong, Beijing Normal University, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Sciences, Beijing, China, Quan Zhang Sr, Tsinghua University, Beijing, China; Wuhan University, Wuhan, China and Na Wang, Beijing Normal University, Beijing, China
 
Decomposing the Performance of Streamflow Prediction into Errors of Timing and Distribution (681964)
William Hastings Farmer, U.S. Geological Survey, Denver, CO, United States, Gregory J McCabe Jr, USGS, National Research Program, Lakewood, CO, United States and Thomas Mark Over, US Geological Survey, Urbana, IL, United States
 
Developing diagnostic signatures from in-situ soil moisture networks under different land-uses (671101)
Ryoko Araki and Hilary K McMillan, San Diego State University, Department of Geography, San Diego, CA, United States
 
Diagnosing Model-structural Errors with a Sliding Time-window Bayesian Analysis (669096)
Han-Fang Hsueh1, Anneli Guthke1, Thomas Wöhling2 and Wolfgang Nowak1, (1)University of Stuttgart, Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), Stuttgart, Germany, (2)Dresden University of Technology, Chair of Hydrology, Dresden, Germany
 
Evaluating Ecohydrological Model Sensitivity to Forcing Variability with an Information Theory-Based Approach (678918)
Mozhgan Askarzadehfarahani1, Allison Eva Goodwell1 and Alireza Vahid2, (1)University of Colorado Denver, Civil Engineering, Denver, CO, United States, (2)University of Colorado Denver, Electrical Engineering, Denver, CO, United States
 
Impact of climate change on flow composition using a model tailored to runoff components (692409)
Renata Julita Romanowicz1, Martijn J. Booij2 and Maarten S. Krol2, (1)Institute of Geophysics Polish Academy of Sciences, Department of Hydrology and Hydrodynamics, Warsaw, Poland, (2)University of Twente, Department of Water Engineering and Management, Enschede, Netherlands
 
Improved estimators of model goodness-of-fit (765619)
Jonathan Lamontagne, Tufts University, Medford, MA, United States and Richard M Vogel, Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
 
Low-Rank Tensor Network Approximations for Earth System Models (768392)
Cosmin Safta1, Alex Gorodetsky2, John Jakeman3, Khachik Sargsyan3 and Daniel M Ricciuto4, (1)Sandia National Laboratories, Livermore, CA, United States, (2)University of Michigan, Ann Arbor, United States, (3)Sandia National Laboratories, Albuquerque, NM, United States, (4)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States
 
Navigating Groundwater Model Uncertainty Analysis (688628)
Luk JM Peeters, CSIRO, Land and Water, Adelaide, SA, Australia
 
Planning-driven model diagnostics to determine the effects of observation and parameter uncertainty on groundwater management in Mexico City (670649)
Marina Reyes Lopez Mautner1, Jonathan D Herman1 and Laura Foglia2, (1)University of California Davis, Davis, CA, United States, (2)University of California Davis, Land, Air and Water Resources, Davis, CA, United States
 
Sensitivity Analysis and Identification of Noninformative Parameters of the Land Surface Model HTESSEL (680051)
Sourena Yadegari Varnamkhasti1, Robert Schweppe2, Matthias Kelbling3, Stephan Thober3, Juliane Mai4 and Luis Samaniego3, (1)Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, (2)Helmholtz Centre for Environmental Research UFZ Leipzig, Computational Hydrosystems, Leipzig, Germany, (3)Helmholtz Centre for Environmental Research - UFZ, Computational Hydrosystems, Leipzig, Germany, (4)University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada
 
Sensitivity analysis for a pumping test simulation with varying hydraulic parameter values and domain resolution (673925)
Jaegeun Jung1, Hyoun-Tae Hwang2,3 and Sung-Wook Jeen1, (1)Jeonbuk National University, Department of Earth and Environmental Sciences & The Earth and Environmental Science System Research Center, Jeonju, South Korea, (2)Aquanty, Inc., Waterloo, ON, Canada, (3)University of Waterloo, Department of Earth and Environmental Sciences, Waterloo, ON, Canada
 
Streamflow and Soil Moisture Forecast Skills as a Function of the Biophysical Attributes and the Dynamic Soil Moisture Conditions in the National Water Model (733987)
Yanan Duan and Sanjiv Kumar, Auburn University, School of Forestry and Wildlife Sciences, Auburn, AL, United States
 
The Wisdom of the Crowd in Probabilistic Predictive Modelling: Large-Scale Application to Monthly Rainfall-Runoff Problems (676945)
Georgia Papacharalampous, National Technical University of Athens (NTUA), Marousi Athens, Greece, Hristos Tyralis, Hellenic Air Force, Elefsina, Greece, Demetris Koutsoyiannis, National Technical University of Athens (NTUA), Athens, Greece and Alberto Montanari, University of Bologna, Bologna, Italy
 
Towards a cold regions hydrometric streamflow uncertainty framework for Canada (708671)
Scott Pokorny, University of Manitoba, Winnipeg, MB, Canada, Tricia Anne Stadnyk, University of Calgary, Department of Geography, Calgary, AB, Canada and Genevieve Ali, University of Guelph, School of Environmental Sciences, Guelph, ON, Canada
 
Towards a community-wide effort for clean benchmarking in geostatistical inversion (663304)
Wolfgang Nowak, University of Stuttgart, Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), Stuttgart, Germany, Sinan Xiao, University of Stuttgart, Institute for Modelling Hydraulic and Environmental Systems, Stuttgart, Germany, Teng Xu Dr., University of Stuttgart, Stuttgart, Germany and Harrie-Jan Hendricks Franssen, Forschungszentrum Jülich GmbH, Julich, Germany
 
Understanding the Dynamics of Parameter Importance for Global Parameterization of Modeling Semi-Arid Watersheds. (762672)
Menberu B. Meles1, David C Goodrich2, Carl C Unkrich3, Ian S Burns4, Hoshin Vijai Gupta5, Feyera A Hirpa6, D. Phillip Guertin4 and Saman Razavi7, (1)Agricultural Research Services, USDA, Tucson, AZ, United States, (2)USDA-ARS Southwest Watershed Research Center, Tucson, AZ, United States, (3)Agricultural Research Service Tucson, Tucson, AZ, United States, (4)University of Arizona, Tucson, AZ, United States, (5)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (6)University of Connecticut, Groton, CT, United States, (7)University of Saskatchewan, Saskatoon, SK, Canada
 
Where to find aquifer statistics utilizing pumping tests? Two field studies using welltestpy. (692507)
Sebastian Muller1, Alraune Zech2, Carsten Leven3, Peter Dietrich1 and Sabine Attinger4, (1)Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, (2)Utrecht University, Department of Earth Science, Utrecht, Netherlands, (3)University of Tübingen, Tübingen, Germany, (4)Helmholtz Centre for Environmental Research GmbH – UFZ, Leipzig, Germany, Computational Hydrosystems, Leipzig, Germany
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