H41B
Concepts and Practice of Model Verification, Validation, and Uncertainty Quantification in Computational Geosciences I Posters

Thursday, 17 December 2015: 08:00-12:20
Poster Hall (Moscone South)
Primary Conveners:  Souheil M Ezzedine, Lawrence Livermore National Laboratory, Livermore, CA, United States
Conveners:  Kaveh Zamani, University of California Davis, Davis, CA, United States, Daniel M Tartakovsky, University of California San Diego, La Jolla, CA, United States and Velimir V Vesselinov, LANL, Santa Fe, NM, United States
Chairs:  Daniel M Tartakovsky, University of California San Diego, La Jolla, CA, United States, Souheil M Ezzedine, Lawrence Livermore National Laboratory, Livermore, CA, United States, Velimir V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States and Kaveh Zamani, University of California Davis, Davis, CA, United States
OSPA Liaisons:  Souheil M Ezzedine, Lawrence Livermore National Laboratory, Livermore, CA, United States
 
An efficient distribution method for nonlinear transport problems in stochastic porous media (58854)
Fayadhoi Ibrahima, Stanford University, Stanford, CA, United States, Hamdi Tchelepi, Stanford Earth Sciences, Stanford, CA, United States and Daniel W Meyer, ETH Swiss Federal Institute of Technology Zurich, Institute of Fluid Dynamics, Zurich, Switzerland
 
A Bayesian approach to model structural error and input variability in groundwater modeling (70014)
Tianfang Xu, University of Illinois at Urbana Champaign, Urbana, IL, United States and Albert J Valocchi, Univ Illinois, Urbana, IL, United States
 
Uncertainty Quantification of Tracer Dispersion with the PMVP Model under Realistic Conditions (60322)
Simon Duenser and Daniel W Meyer, ETH Swiss Federal Institute of Technology Zurich, Institute of Fluid Dynamics, Zurich, Switzerland
 
Impact of Temporally Variable and Uniform Pumping Regimes on Contaminant Transport in Heterogeneous Aquifers (71434)
Arianna Libera1, Felipe de Barros1 and Alberto Guadagnini2, (1)University of Southern California, Los Angeles, CA, United States, (2)Politecnico di Milano, Milano, 20133, Italy
 
Volcanic Event Recurrence Rate Model (VERRM): Incorporating Radiometric Ages, Volcanic Stratigraphy and Paleomagnetic Data into a Monte Carlo Simulation to Estimate Uncertainty in Recurrence Rate through Time (79482)
James Adams Wilson and Jacob A Richardson, University of South Florida Tampa, Tampa, FL, United States
 
Global Sensitivity Analysis for Multiple Scenarios and Models of Nitrogen Processes (86168)
Zhuowei Chen, Wuhan University, Wuhan, China
 
Generalized Likelihood Uncertainty Estimation (GLUE) Using Multi-Optimization Algorithm as Sampling Method (86469)
Zifeng Wang, Beijing Normal University, Beijing, China
 
Model validation for karst flow using sandbox experiments (67470)
Roger Benito Pacheco Castro1, Xiaohu Tao2, Ming Ye3 and Jian Zhao2, (1)Florida State University, Tallahassee, FL, United States, (2)Hohai University, College of Water Conservancy and Hydropower Engineering, Nanjing, China, (3)Florida State University, Scientific Computing, Tallahassee, FL, United States
 
Stochastic collocation using Kronrod-Patterson-Hermite quadrature with moderate delay for subsurface flow and transport (71008)
Qinzhuo Liao, Stanford University, Stanford, CA, United States, Hamdi Tchelepi, Stanford Earth Sciences, Stanford, CA, United States and Dongxiao Zhang, Peking University, Beijing, China
 
Improving Uncertainty Quantification Through Better Bayesian Inference (72676)
Ashish Sharma1, Tyler J Smith2 and Lucy Amanda Marshall1, (1)University of New South Wales, Sydney, NSW, Australia, (2)Clarkson University, Potsdam, NY, United States
 
Robust Bayesian Experimental Design for Conceptual Model Discrimination (73286)
Hai V Pham and Frank T-C Tsai, Louisiana State University, Baton Rouge, LA, United States
 
A Computationally Efficient Parallel Levenberg-Marquardt Algorithm for Large-Scale Big-Data Inversion (73343)
Youzuo Lin, Daniel O'Malley and Velimir V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States
 
Training image analysis for model error assessment and dimension reduction in Bayesian-MCMC solutions to inverse problems (77778)
Corinna Koepke, University of Lausanne, Lausanne, Switzerland
 
Using Multi-level Methods for Geospatial Data Representation to Enable Efficient Analytics of Large Scale Simulation Outputs (79554)
Abani K Patra, Ramona Elena Ramona Stefanescu and Prashant Shekhar, University at Buffalo, Buffalo, NY, United States
 
VAVUQ, Python and Matlab freeware for Verification and Validation, Uncertainty Quantification (85212)
Kaveh Zamani1, Fabian A Bombardelli1, William E Fleenor1 and James Edward Courtney2, (1)University of California Davis, Davis, CA, United States, (2)Humboldt State University, Arcata, CA, United States
 
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