T31E:
State of the Art in Computational Geoscience I


Session ID#: 8585

Session Description:
This session highlights advances in the theory and practice of computational geoscience, from improvements in numerical methods to automation of tasks necessary to rigorously close the loop from data to decisions.  We welcome contributions from all areas of geoscience including, but not limited to computational tectonics, surface processes, hydrology, cryosphere, mantle, and core, addressing computational issues such as robust and efficient solvers, multiscale discretizations, design of benchmark problems and standards for comparison, open source scientific libraries, workflow automation for model setup and data assimilation, representation and propagation of uncertainty, optimal design of field studies, quantifying risk in decision problems, and testing the predictive power of numerical simulation.

By bringing these crosscutting computational activities together in one session, we hope to sharpen our collective understanding of the fundamental challenges, level of rigor, and opportunities for reusable implementations.
Primary Convener:  Jed Brown, University of Colorado at Boulder, Computer Science, Boulder, United States
Conveners:  Kyle T Mandli, Columbia University of New York, Palisades, United States, Boris J P Kaus, Johannes Gutenberg University of Mainz, Institute for Geosciences, Mainz, Germany and Matthew Knepley, University at Buffalo, Computer Science, Buffalo, NY, United States
Chairs:  Jed Brown, Argonne National Laboratory, Argonne, United States and Boris J P Kaus, Johannes Gutenberg University of Mainz, Institute for Geosciences, Mainz, Germany
OSPA Liaison:  Jed Brown, Argonne National Laboratory, Argonne, United States
Co-Organized with:
Tectonophysics, Ocean Sciences, and Study of Earth's Deep Interior

Cross-Listed:
  • C - Cryosphere
  • DI - Study of the Earth's Deep Interior
  • H - Hydrology
  • IN - Earth and Space Science Informatics
Index Terms:

0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
0550 Model verification and validation [COMPUTATIONAL GEOPHYSICS]
0560 Numerical solutions [COMPUTATIONAL GEOPHYSICS]
1910 Data assimilation, integration and fusion [INFORMATICS]

Abstracts Submitted to this Session:

Gravity, Topography, Magnetics: Geoscience Data Analysis in Spherical and Planar Geometry (Invited) (59619)
Frederik J Simons, Princeton University, Princeton, NJ, United States, Christopher Harig, Princeton University, Department of Geosciences, Princeton, NJ, United States, Kevin W Lewis, Johns Hopkins University, Department of Earth & Planetary Sciences, Baltimore, United States and Alain Plattner, California State University Fresno, Earth and Environmental Sciences, Fresno, CA, United States
Earth As An Unstructured Mesh and Its Recovery from Seismic Waveform Data (Invited) (65263)
Maarten V De Hoop, Purdue University, Department of Mathematics, West Lafayette, IN, United States and Departments of Computational and Applied Mathematics and Earth Science
Fast Geostatistical Inversion using Randomized Matrix Decompositions and Sketchings for Heterogeneous Aquifer Characterization (84883)
Ellen B Le1,2, Daniel O'Malley2 and Dr. Velimir monty V Vesselinov3, (1)University of Texas at Austin, Institute for Computational Engineering and Sciences, Austin, TX, United States, (2)Los Alamos National Laboratory, Computational Earth Sciences (EES-16), Los Alamos, NM, United States, (3)Los Alamos National Laboratory, Los Alamos, NM, United States
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems with Application to Porous Medium Flow (Invited) (59907)
Noemi Petra, University of California Merced, School of Natural Sciences, Merced, CA, United States, Alen Alexanderian, North Carolina State University, Department of Mathematics, Raleigh, NC, United States, Georg Stadler, New York University, Courant Institute of Mathematical Sciences, New York, NY, United States and Omar Ghattas, The University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States; The University of Texas at Austin, Institute for Computational Engineering & Sciences, Austin, TX, United States
Nonlinear Solver Approaches for the Diffusive Wave Approximation to the Shallow Water Equations (Invited) (79693)
Nathan Collier, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Matthew Knepley, University at Buffalo, Computer Science, Buffalo, NY, United States
The SCEC-USGS Dynamic Earthquake Rupture Code Comparison Exercise – Simulations of Large Earthquakes and Strong Ground Motions (70365)
Ruth Harris, U.S. Geological Survey, Earthquake Science Center, Menlo Park, CA, United States
Local Discontinuous Galerkin (LDG) Method for Advection of Active Compositional Fields with Discontinuous Boundaries: Demonstration and Comparison with Other Methods in the Mantle Convection Code ASPECT (74820)
Ying He, University of California Davis, Mathematics, Davis, CA, United States, Magali I Billen, University of California Davis, Department of Earth and Planetary Sciences, Davis, CA, United States and Elbridge Gerry Puckett, University of California Davis, Mathematics and Computational Infrastructure for Geodynamics (CIG), Davis, United States
Simultaneous Inverse Analysis Method of Fault Slip and Asthenosphere Viscosity Using Large Scale Finite Element Simulation of Postseismic Deformation (75983)
Ryoichiro Agata1, Tsuyoshi Ichimura2, Takane Hori3, Kazuro Hirahara4, Chihiro Hashimoto5 and Muneo Hori1, (1)Earthquake Research Institute, University of Tokyo, Tokyo, Japan, (2)Earthquake Research Institute, The University of Tokyo, Tokyo, Japan, (3)Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Research Institute for Marine Geodynamics, Yokohama, Japan, (4)Kyoto University, Kyoto, Japan, (5)Nagoya University, Nagoya, Japan

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