Forward Looking Workshop
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| <li> [[Media:Truffer.pdf|Martin Truffer: ''The role of mathematics in glaciology: Ice sheet modeling and inverse modeling'']] | <li> [[Media:Truffer.pdf|Martin Truffer: ''The role of mathematics in glaciology: Ice sheet modeling and inverse modeling'']] | ||
| <li> Ken Golden (University of Utah): ''Sea ice, climate, and multiscale composites'' | <li> Ken Golden (University of Utah): ''Sea ice, climate, and multiscale composites'' | ||
| - | <li> [[Media:Pauluius.pdf|Olivier Pauluis (New York University): ''Reconstructing the global circulation using the Statistical Transformed Eulerian Mean'']] | + | <li> [[Media:Pauluis.pdf|Olivier Pauluis (New York University): ''Reconstructing the global circulation using the Statistical Transformed Eulerian Mean'']] |
| <li> [[Media:StCyr.pdf|Amik StCyr () ''Geosciences and Computing in the Industry'']] | <li> [[Media:StCyr.pdf|Amik StCyr () ''Geosciences and Computing in the Industry'']] | ||
| <li> [[Media:DeHoop.pdf|Martin DeHoop (Purdue University)''Imaging and nonlinear inverse problems in seismology with large data sets'']] | <li> [[Media:DeHoop.pdf|Martin DeHoop (Purdue University)''Imaging and nonlinear inverse problems in seismology with large data sets'']] | ||
Revision as of 02:35, 9 November 2011
Information coming soon.
Materials from the talks.
- Junping Wang (National Science Foundation): Introduction to the workshop
- Clint Dawson (The University of Texas at Austin): Mathematical and computational issues in coastal modeling
- Alistair Adcroft (Princeton University): High order remapping, the spurious mixing problem, and heat uptake in ocean models
- Martin Truffer: The role of mathematics in glaciology: Ice sheet modeling and inverse modeling
- Ken Golden (University of Utah): Sea ice, climate, and multiscale composites
- Olivier Pauluis (New York University): Reconstructing the global circulation using the Statistical Transformed Eulerian Mean
- Amik StCyr () Geosciences and Computing in the Industry
- Martin DeHoop (Purdue University)Imaging and nonlinear inverse problems in seismology with large data sets
- Jeroen Tromp (Princeton University) Seismic Imaging based on Spectral-element and Adjoint Methods
- Todd Arbogast (The University of Texas at Austin): Some Issues in the Mathematical and Computational Modeling of the Earth's Subsurface
- Lou Durlofsky (Stanford University) Computational Challenges for Subsurface Flow Modeling and Optimization
