H11N:
Understanding the Interface Between Models and Data I

Session ID#: 4947

Monday, 15 December 2014: 8:00 AM-10:00 AM
3011 (Moscone West)
Chairs:  Benjamin L Ruddell, Arizona State University, Tempe, AZ, United States and Kenneth W Harrison, UMD ESSIC/NASA GSFC, Greenbelt, MD, United States
Primary Convener:  Dr. Grey Stephen Nearing, PHD, Upstream Tech, Tuscaloosa, United States
Co-conveners:  Benjamin L Ruddell, Arizona State University, Tempe, AZ, United States, Jasper A Vrugt, UC-Irvine, Irvine, United States and Kenneth W Harrison, UMD ESSIC/NASA GSFC, Greenbelt, MD, United States
OSPA Liaison:  Dr. Grey Stephen Nearing, PHD, Upstream Tech, Tuscaloosa, United States
Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1846 Model calibration [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]
Virtual Option?: No

Abstracts Submitted to this Session:

H11N-03
Parametric uncertainty quantification of large complex dynamical system models (Invited) (3350)
Qingyun Duan1, Wei Gong2, Zhenhua Di3, Chen Wang3, Jiping Quan3, Yanjun Gan3 and Jianduo Li3, (1)Hohai University, Nanjing, China, (2)Beijing Normal University, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Sciences, Beijing, China, (3)Beijing Normal University, Beijing, China
H11N-04
Model-free data analysis for source separation based on Non-Negative Matrix Factorization and k-means clustering (NMFk) (5962)
Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, United States and Boian Alexandrov, LANL, Santa Fe, NM, United States
H11N-05
Density Estimation Framework for Model Error Assessment (14966)
Khachik Sargsyan1, Zhen Liu1, Habib N Najm2, Cosmin Safta1, Bart VanBloemenWaanders1, Hope A Michelsen1 and Ray Bambha1, (1)Sandia National Laboratories, Albuquerque, NM, United States, (2)Sandia National Laboratories, Livermore, CA, United States
H11N-06
The Interface Between Data and Predictions through Machine Learning and Bayesian Networks (28224)
Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States and Bernard T Nolan, US Geological Survey, Reston, VA, United States
H11N-07
Comparing Linear and Nonlinear Methods for More Reliable Predictive Uncertainty Quantification and Optimal Design of Experiments (22028)
Thomas Wöhling1, Andreas Geiges2, Moritz Gosses2 and Wolfgang Nowak3, (1)University of Tübingen, Center for Applied Geoscience, Tübingen, Germany, (2)University of Tübingen, Tübingen, Germany, (3)University of Stuttgart, Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), Stuttgart, Germany
H11N-08
Application of the Discrimination Inference to Reduce Expected Cost Technique (DIRECT) to a Contaminant Transport Problem. (17978)
Timothy West Bayley, Organization Not Listed, Washington, DC, United States and Ty P.A. Ferré, University of Arizona, Tucson, AZ, United States
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