T22D:
State of the Art in Computational Geoscience I

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Session ID#: 16619

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. Common issues include robust and efficient solvers, multiscale discretizations, design of benchmark problems and standards for comparison. Increasing data and computational power necessitates open source scientific libraries and workflow automation for model setup, 3D feature connectivity, and data assimilation, and automation in uncertainty representation and propagation, optimal design of field studies, risk quantification, and testing the predictive power of numerical simulations. By bringing these crosscutting computational activities together in one session, we hope to sharpen our collective understanding of fundamental challenges, level of rigor, and opportunities for reusable implementations. Contributions from all areas are welcome, including, but not limited to, fault modeling, tectonics, subduction, seismology, magma, mantle convection, the core, as well as surface processes, hydrology, and cryosphere.
Primary Convener:  Jed Brown, University of Colorado at Boulder, Computer Science, Boulder, United States
Conveners:  Margarete Ann Jadamec, University of Houston, Dept. of Earth and Atmospheric Sciences, Houston, TX, United States and Matthew Knepley, University at Buffalo, Computer Science, Buffalo, NY, United States
Chairs:  Jed Brown, University of Colorado at Boulder, Computer Science, Boulder, United States and Margarete Ann Jadamec, University of Houston, Dept. of Earth and Atmospheric Sciences, Houston, TX, United States
OSPA Liaison:  Jed Brown, University of Colorado at Boulder, Computer Science, Boulder, United States

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

0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
0550 Model verification and validation [COMPUTATIONAL GEOPHYSICS]
0560 Numerical solutions [COMPUTATIONAL GEOPHYSICS]
1956 Numerical algorithms [INFORMATICS]

Abstracts Submitted to this Session:

Pushing the Frontier of Data-Oriented Geodynamic Modeling: from Qualitative to Quantitative to Predictive (Invited) (134728)
Lijun Liu, University of Illinois at Urbana-Champaign, Department of Earth Science and Environmental Change, Urbana, United States, Jiashun Hu, Southern University of Science and Technology, Department of Earth and Space Sciences, Shenzhen, China and Quan Zhou, University of Illinois at Urbana Champaign, Urbana, United States
D-Optimal Experimental Design for Contaminant Source Identification (183309)
Arvind Krishna Sai Baba, North Carolina State University Raleigh, Department of Mathematics, Raleigh, United States and Alen Alexanderian, North Carolina State University, Department of Mathematics, Raleigh, NC, United States
Discontinuous Galerkin (DG) Method for solving time dependent convection-diffusion type temperature equation : Demonstration and Comparison with Other Methods in the Mantle Convection Code ASPECT (188991)
Ying He1, Elbridge Gerry Puckett2, Magali I Billen3 and Louise H Kellogg3, (1)University of California Davis, Mathematics, Davis, CA, United States, (2)University of California Davis, Mathematics and Computational Infrastructure for Geodynamics (CIG), Davis, United States, (3)UC Davis, Department of Earth and Planetary Sciences, Davis, CA, United States
Implementing Flexible and Scalable Particle-in-Cell Methods for Massively Parallel Computations (181065)
Rene Gassmoeller1,2, Wolfgang Bangerth2,3, Elbridge Gerry Puckett4, Cedric Thieulot5 and Eric M Heien6, (1)Colorado State University, Mathematics, Fort Collins, CO, United States, (2)Texas A&M University College Station, Mathematics, College Station, TX, United States, (3)Colorado State University, Department of Mathematics, Fort Collins, United States, (4)University of California Davis, Mathematics and Computational Infrastructure for Geodynamics (CIG), Davis, United States, (5)Utrecht University, Geosciences, Utrecht, Netherlands, (6)University of California Davis, Davis, CA, United States
Multi-scale probabilistic seismic imaging with the USArray (Invited) (124431)
Tolulope M Olugboji1, Vedran Lekic1, Scott Burdick2 and Chao Gao3, (1)University of Maryland College Park, College Park, MD, United States, (2)Wayne State University, Department of Environmental Science and Geology, Detroit, MI, United States, (3)University of Maryland College Park, Dept. of Geology, College Park, MD, United States
Distributing Earthquakes Among California’s Faults: A Binary Integer Programming Approach (138839)
Eric L Geist, USGS Pacific Coastal and Marine Science Center, Menlo Park, United States and Tom Parsons, USGS Pacific Coastal and Marine Science Center, Menlo Park, CA, United States
A Pythonic Approach for Computational Geosciences and Geo-Data Processing (166123)
Gabriele Morra, University of Louisiana at Lafayette, Lafayette, LA, United States, David A Yuen, University of Minnesota Twin Cities, Earth Sciences, Minneapolis, MN, United States and Sang-Mook Lee, Seoul National University, School of Earth and Environmental Sciences, Seoul, Korea, Republic of (South)
Using Multi-Model and Coupled Model Based Simulations and UQ for Analysis of Volcanic Hazards (188469)
Abani K Patra, University at Buffalo, Buffalo, United States

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