DI43A:
Advances in Computational Geosciences II Posters

Submit an Abstract to this Session



Session ID#: 26637

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:  Marc W Spiegelman, Columbia University of New York, Palisades, NY, United States
Conveners:  Juliane Dannberg, Texas A&M University, Department of Mathematics, College Station, TX, United States and Jed Brown, Argonne National Laboratory, Argonne, United States
Chairs:  Juliane Dannberg, Colorado State University, Fort Collins, CO, United States and Marc W Spiegelman, Columbia University of New York, Palisades, NY, United States
OSPA Liaison:  Marc W Spiegelman, Columbia University of New York, Palisades, NY, United States
Co-Organized with:
Study of Earth's Deep Interior, and Tectonophysics

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

Zoë E Vestrum, University of Alberta, Department of Physics, Edmonton, AB, Canada and Samuel L Butler, University of Saskatchewan, Saskatoon, SK, Canada
Saswata Hier-Majumder, Royal Holloway University of London, Egham, United Kingdom
Erika Regan Storvick, William Jewell College, Physics, Liberty, MO, United States, Hao Lu, Center for Earthquake Research & Information, Memphis, TN, United States and Eunseo Choi, PhD, University of Memphis, Center for Earthquake Research and Information, Memphis, TN, United States
Paul J Tackley, ETH Zurich, Department of Earth and Planetary Sciences, Zürich, Switzerland, Diogo José Louro Lourenço, ETH Zurich, Earth and Planetary Sciences, Zurich, Switzerland and Ilya Fomin, ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
Timo Heister, Clemson University, Clemson, SC, United States, Wolfgang Bangerth, Colorado State University, Department of Mathematics, Fort Collins, United States, Juliane Dannberg, Colorado State University, Fort Collins, CO, United States and Rene Gassmoeller, Colorado State University, Mathematics, Fort Collins, CO, United States
Quan Zhou, University of Illinois at Urbana Champaign, Urbana, United States and Lijun Liu, University of Illinois at Urbana Champaign, Geology, Urbana, United States
Elbridge Gerry Puckett1, Donald L Turcotte2, Ying He3, Harsha Venkata Lokavarapu4, Jonathan Robey4 and Louise H Kellogg2, (1)University of California Davis, Mathematics and Computational Infrastructure for Geodynamics (CIG), Davis, United States, (2)UC Davis, Department of Earth and Planetary Sciences, Davis, CA, United States, (3)University of California Davis, Mathematics, Davis, CA, United States, (4)University of California Davis, Davis, CA, United States
Jia Shi, Shell International Exploration & Production Inc, Houston, TX, United States, Maarten V De Hoop, Rice University, Computational and Applied Mathematics, Houston, TX, United States, Ruipeng Li, Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, Livermore, CA, United States, Yuanzhe Xi, Emory University, Mathematics and Computer Science, Atlanta, GA, United States and Yousef Saad, University of Minnesota Twin Cities, Computer Science and Engineering, Minneapolis, MN, United States
Nithin Manohar Rayudu1, Xuhai Tang Sr2 and Dr. Gaurav Singh, M.Sc, Ph.D1, (1)Birla Institute of Technology and Science, Mechanical Engineering, Goa, India, (2)Wuhan University, School of Civil Engineering, Wuhan, China
Paul-Ross Thomson, Royal Holloway University of London, London, United Kingdom, Aizhan Zhakupova, Royal Holloway University of London, Earth sciences, Egham, United Kingdom and Saswata Hier-Majumder, Royal Holloway University of London, Egham, United Kingdom
Louis Noel Moresi1, Ben Mather2 and Romain Beucher1, (1)University of Melbourne, Parkville, VIC, Australia, (2)The University of Sydney, EarthByte Group, School of Geosciences, Sydney, NSW, Australia
Yimin Jin, UCAS University of Chinese Academy of Sciences, Beijing, China, Huai Zhang, GUCAS Graduate University of Chinese Academy of Sciences, Beijing, China and Yaolin Shi, University of Chinese Academy of Sciences, Beijing, China
Weilin Li, Yaolin Shi, Huai Zhang and Huihong Cheng, Key Laboratory of Computational Geodynamics, Chinese Academy of Sciences, Beijing, China