H43S:
Uncertainty Quantification and Reduction in Hydrogeological Forecasting and Inversion II

Session ID#: 4942

Thursday, 18 December 2014: 1:40 PM-3:40 PM
3020 (Moscone West)
Chairs:  Niklas Linde, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland and Philippe Renard, University of Neuchâtel, Centre of Hydrogeology and Geothermics, Neuchâtel, Switzerland
Primary Convener:  Souheil M Ezzedine, Univ California LLNL, Livermore, United States
Co-conveners:  Niklas Linde, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland, Philippe Renard, University of Neuchâtel, Centre for Hydrogeology and Geothermics, Neuchâtel, Switzerland and Daniel M Tartakovsky, Stanford University, Energy Science and Engineering, Stanford, United States
OSPA Liaison:  Niklas Linde, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • MR - Mineral and Rock Physics
  • NG - Nonlinear Geophysics
Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1846 Model calibration [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

H43S-01
Developing Training Image-Based Priors for Inversion of Subsurface Geophysical and Flow Data (Invited) (2870)
Jef Caers, Stanford University, Earth and Planetary Sciences, Stanford, United States; Stanford Earth Sciences, Stanford, CA, United States
H43S-02
Uncertainty in Training-Image Based Inversion of Hydraulic Head Data Constrained to ERT Data: Workflow and Case Study (15448)
Thomas Hermans1, Frederic Nguyen1 and Jef Caers2, (1)University of Liège, Liège, Belgium, (2)Stanford Earth Sciences, Stanford, CA, United States
H43S-03
Consistent integration of geo-information (23864)
Thomas Mejer Hansen and Knud Skou Cordua, Niels Bohr Institute - University of Copenhagen, Copenhagen, Denmark
H43S-04
Uncertainty Quantification and Transdimensional Inversion (Invited) (4086)
Malcolm Sambridge and Rhys Hawkins, Australian National University, Research School of Earth Sciences, Canberra, Australia
H43S-05
Functional Error Models to Accelerate Nested Sampling (9302)
Laureline Josset, Columbia University, New York, United States, Ahmed H. Elsheikh, Heriot-Watt University, Edinburgh, EH14, United Kingdom, Vasily Demyanov, Heriot-Watt University, Edinburgh, United Kingdom and Ivan Lunati, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
H43S-06
Assimilating Hydraulic Conductivity Data Using Multiscale Training Images (3923)
Grégoire Mariethoz, University of New South Wales, Sydney, Australia, Kashif Mahmud, PhD, Univ of New South Wales, Ingleburn, Australia, Andy Baker, Australian Nuclear Science and Technology Organization, Lucas Heights, NSW, Australia and Ashish Sharma, University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
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