H44B
Concepts and Practice of Model Verification, Validation, and Uncertainty Quantification in Computational Geosciences II

Thursday, 17 December 2015: 16:00-18:00
3014 (Moscone West)
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:  Souheil M Ezzedine, Lawrence Livermore National Laboratory, Livermore, CA, United States, Daniel M Tartakovsky, University of California San Diego, La Jolla, 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
16:00
H44B-01
An automated construction of error models for uncertainty quantification and model calibration (Invited) (77517)
Laureline Josset, University of Lausanne, Lausanne, Switzerland and Ivan Lunati, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
16:15
H44B-02
Multi-Solver and Multi-Grid Sampling for Fast, Non-Intrusive, and Versatile Uncertainty Quantification of Two-Phase Flow and Transport (63827)
Florian Müller, Supercomputing Systems AG, Zurich, Switzerland, Daniel W Meyer, ETH Swiss Federal Institute of Technology Zurich, Institute of Fluid Dynamics, Zurich, Switzerland and Patrick Jenny, ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
16:30
H44B-03
Decision-oriented Optimal Experimental Design and Data Collection (Invited) (66406)
Daniel O'Malley, Los Alamos National Laboratory, Computational Earth Sciences, Los Alamos, NM, United States and Velimir V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States
16:45
H44B-04
Global Sensitivity Analysis for Process Identification under Model Uncertainty (62141)
Ming Ye1, Heng Dai2, Anthony P Walker3, Liangsheng Shi4 and Jinzhong Yang4, (1)Florida State University, Scientific Computing, Tallahassee, FL, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (4)Wuhan University, Wuhan, China
17:00
H44B-05
Task Oriented Hydrogeological Site Characterization: A Framework and Case Study in Predicting Contaminant Arrival Time (Invited) (81154)
Bradley Harken, University of California Berkeley, Berkeley, CA, United States; Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany
17:15
H44B-06
Prediction of Solute Concentration in the Presence of Uncertainty: beyond Moments (81192)
Francesca Boso, University of Calif San Diego, La Jolla, CA, United States and Daniel M Tartakovsky, University of California San Diego, La Jolla, CA, United States
17:30
H44B-07
Predicting uncertainty in future marine ice sheet volume using Bayesian statistical methods (Invited) (83394)
Andrew D Davis, Massachusetts Institute of Technology, Aeronautical Engineering, Cambridge, MA, United States
17:45
H44B-08
A High Performance Bayesian Computing Framework for Spatiotemporal Uncertainty Modeling (86387)
Guofeng Cao, Texas Tech University, Lubbock, TX, United States
 
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