DI23A:
Advances in Computational Geosciences I


Submit an Abstract to this Session


Session ID#: 60300

Session Description:
This session highlights advances in the theory and practice of computational geoscience, from improvements in numerical methods to their application to outstanding problems in the Earth sciences. 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 dynamics, mantle convection, the core, as well as surface processes, hydrology, and cryosphere.
Primary Convener:  Juliane Dannberg, University of Florida, Department of Geological Sciences, Gainesville, FL, United States
Conveners:  Marc W Spiegelman, Columbia University, Earth and Environmental Science/Applied Physics & Applied Math, New York, United States, Jed Brown, University of Colorado at Boulder, Computer Science, Boulder, United States and Dave May, University of Oxford, Department of Earth Sciences, Oxford, United Kingdom
Primary Liaison:  Juliane Dannberg, University of Florida, Department of Geological Sciences, Gainesville, FL, United States
Chairs:  Juliane Dannberg, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, Marc W Spiegelman, Columbia University, Earth and Environmental Science/Applied Physics & Applied Math, New York, United States and Jed Brown, Argonne National Laboratory, Argonne, United States
OSPA Liaison:  Juliane Dannberg, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
Co-Organized with:
Study of Earth's Deep Interior, and Tectonophysics

Cross-Listed:
  • C - Cryosphere
  • GP - Geomagnetism, Paleomagnetism and Electromagnetism
  • S - Seismology

Proposed Co-Organized Session with:
  • T - Tectonophysics
Index Terms:

0545 Modeling [COMPUTATIONAL GEOPHYSICS]
0560 Numerical solutions [COMPUTATIONAL GEOPHYSICS]
1932 High-performance computing [INFORMATICS]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]

Abstracts Submitted to this Session:

Sensitivity kernels for geodynamic surface observables based on adjoint methods (Invited) (374267)
Jacqueline Austermann, Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States, David Al-Attar, University of Cambridge, Bullard Labs, Cambridge, United Kingdom, Wolfgang Bangerth, Colorado State University, Department of Mathematics, Fort Collins, United States and Mark Hoggard, Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States
CitcomSVE: A massively parallelized finite element software package for modeling elastic and viscoelastic deformation on regional and global scales (428641)
Shijie Zhong, University of Colorado at Boulder, Department of Physics, Boulder, United States
Towards efficient iterative matrix-free solvers (464070)
Yuri Podladchikov, University of Lausanne, Lausanne, Switzerland, Ludovic Räss, Stanford Earth Sciences, Stanford, CA, United States and Thibault Duretz, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
Nonlinear Constitutive Laws for Fault Dynamics (467617)
Matthew Knepley, Rice University, Houston, TX, United States, Brad Aagaard, USGS, Menlo Park, CA, United States and Charles A Williams Jr, GNS Science, Lower Hutt, New Zealand
Pythonic Parallel Implementation of 3D Lattice Boltzmann Method for Geophysical and Geological Applications (419823)
Gabriele Morra, University of Louisiana at Lafayette, Lafayette, LA, United States, Peter R Mora, Maths Capital Management, 20 Kent Avenue, Warradale, Adelaide, SA, Australia and David A Yuen, China University of Geosciences Wuhan, Department of Big Data, Wuhan, China; Columbia University, Dept. of Applied Physics and Applied Mathematics, New York, United States
Highly scalable adaptive mesh refinement for natural hazards modeling (Invited) (418052)
Donna Calhoun, Boise State University, Boise, ID, United States and Carsten Burstedde, Universität Bonn, Bonn, Germany
A Scalable River Network Simulator for Extreme Scale Computers using the PETSc Library (446501)
Getnet D Betrie1, Hong Zhang1, Barry F Smith1 and Eugene Yan2, (1)Argonne National Laboratory, Argonne, IL, United States, (2)Argonne National Laboratory, Argonne, United States
Multi-Scale Storm Surge Prediction for High-Resolution Forecasts and Climate Scenarios (444044)
Kyle T Mandli1, Jiao Li2, Huda Qureshi2 and Avi Schwarzschild3, (1)Columbia University of New York, Palisades, United States, (2)Columbia University of New York, Applied Physics and Applied Mathematics, New York, NY, United States, (3)University of Maryland, College Park, United States

See more of: Study of Earth's Deep Interior