T33E:
State of the Art in Computational Geoscience II Posters
T33E:
State of the Art in Computational Geoscience II Posters
State of the Art in Computational Geoscience II Posters
Session ID#: 10784
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.
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: Matthew Knepley, University at Buffalo, Computer Science, Buffalo, NY, United States and Kyle T Mandli, Columbia University of New York, Palisades, United States
OSPA Liaison: Jed Brown, Argonne National Laboratory, Argonne, United States
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:
Markov Chain Monte Carlo Simulation to Assess Uncertainty in Models of Naturally Deformed Rock (68326)
On the Quality of Velocity Interpolation Schemes for Marker-In-Cell Methods on 3-D Staggered Grids (79299)
See more of: Tectonophysics