QuakeSim - Simulation and Analysis Tool for Studying the Physics of EarthquakesEntry ID: NASA_JPL_quakesim
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Abstract: In order to develop a solid Earth science framework for understanding and studying active tectonic and earthquake processes, we are developing simulation and analysis tools to study the physics of earthquakes using state-of-the-art modeling, data manipulation, and pattern recognition technologies. We are developing clearly defined accessible data formats and code protocols as inputs to the ... simulations. These codes must be adapted to high-performance computers because the solid Earth system is extremely complex and nonlinear, resulting in computationally intensive problems with millions of unknowns. Without these tools it will be impossible to construct the more complex models and simulations necessary to develop hazard assessment systems critical for reducing future losses from major earthquakes.
Aside from studying tectonic and earthquake processes, the QuakeSim team will also be studying volcanic eruptions, landslides, and climate change. By studying these natural hazards and changes, we plan to expand our knowledge and abilities not only with earthquakes but other physical changes to the Earth and its environment.
- Develop real-time, large-scale, data assimilation grid implementation for the study of earthquakes.
- Assimilate distributed data sources and complex models into a parallel high-performance earthquake simulation and forecasting system.
- Simplify data discovery, access, and usage from the scientific user point of view.
- Provide capabilities for efficient data mining.
- Establish the necessary infrastructure and develop optimal techniques to understand the relationship between the observable space-time patterns of earthquakes and the underlying, nonlinear stress-strain dynamics that are inaccessible or unobservable in nature.
- Fully three-dimensional finite element code (FEM) with adaptive mesh generator capable of running on workstations and supercomputers for carrying out earthquake simulations
- Inversion algorithms and assimilation codes for constraining the models and simulations with data
- Visualization codes for interpretation of data and models
- Pattern recognizers capable of running on workstations and supercomputers for analyzing data and simulations
- Improve forecasting and prediction of earthquakes, volcanic eruptions, and landslides
- Earthquake risk estimation
- Integrate real-time and archival sensor data with high-performance computing applications for data mining and assimilation to improve earthquake forecasts, ultimately leading to earthquake damage mitigation.
- Federate sensor data sources, focusing on InSAR, LIDAR, and GPS, for an improved modeling environment for forecasting earthquakes, volcanic eruptions, and landslides as well as understand the effects of climate change on Earth and its environment.
- Extend QuakeSim to interact with high-end computing resources at Ames Research Center and JPL.
[Summary provided by NASA.]
ISO Topic Category
Distribution Media: Online
Role: TECHNICAL CONTACT
Email: Andrea.Donnellan at jpl.nasa.gov
Jet Propulsion Laboratory M/S 183-335 4800 Oak Grove Drive
Province or State: CA
Postal Code: 91109
Role: SERF AUTHOR
Phone: (301) 614-6898
Email: Tyler.B.Stevens at nasa.gov
NASA Goddard Space Flight Center Global Change Master Directory
Province or State: MD
Postal Code: 20771
Berman, F., Fox G., and Hey, A., eds., Grid Computing: Making the Global Infrastructure a Reality, Wiley Series in Communications Networking & Distributed Systems, 2003.
Chen, A., Donnellan, A., McLeod, D., Fox, G., Parker, J., Rundle, J., Grant, L., Pierce, M., Gould, M., Chung, S., and Gao, S., Interoperability and Semantics for Heterogeneous Earthquake Science Data, International Workshop on Semantic Web Technologies for Searching and Retrieving Scientific Data, Sanibel Island, FL, October 2003.
Chung, S., Jun, J, and McLeod, D., “A Web-Based Novel Term Similarity Framework for Ontology Learning”, Lecture Notes in Computer Science, Springer, Berlin, Germany, 2006.
Donnellan, A., Fox, G., Rundle, J., Tullis, T., McLeod, D., and Grant, L., Numerical Simulations for Active Tectonic Processes: Increasing Interoperability and Performance (invited), Summary Symposium on the Solid Earth Simulator Project, Tokyo, Japan, 2003.
Donnellan, A., Granat, R., and Rundle, J., Detecting Features in Seismic and Geodetic Data (invited), 35th Symposium on the Interface: Computing Science and Statistics, Salt Lake City, UT, 2003.
Donnellan, A., J. Parker, C. Norton, G. Lyzenga, M. Glasscoe, G. Fox, M. Pierce, J. Rundle, D. McLeod, L. Grant, W. Brooks, and T. Tullis. "QuakeSim: Enabling Model Interactions in Solid Earth Science Sensor Webs." Aerospace Conference, 2007 IEEE (2007): 1-8. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4161497.
Donnellan, A., J. Parker, and G. Peltzer, Combined GPS and InSAR models of postseismic deformation from the Northridge earthquake, Pure and Appl. Geophys., 2261–2270, 2002.
Donnellan, Andrea, Geoffrey Fox, John Rundle, Dennis McLeod, Terry Tullis, Lisa Grant, Jay Parker, Marlon Pierce, Gregory Lyzenga, Anne Chen, John Lou, The Solid Earth Research Virtual Observatory: A web-based system for modeling multi-scale earthquake processes, EOS Trans, AGU, 83(47), Fall Meeting Suppl., Abstract NG528-08, Invited, 2002.
Fox, G. and Walker, D., e-Science Gap Analysis, http://grids.ucs.indiana.edu/ptliupages/publications/GapAnalysis30J....
Fox, G., Pallickara, S., Pierce, M., and Walker, D., Towards Dependable Grid and Web Services, ACM Ubiquity, v. 4, n. 25, 2003.
Fox, Geoffrey, Hasan Bulut, Kangseok Kim, Sung-Hoon Ko, Sangmi Lee, Sangyoon Oh, Shrideep Pallickara, Xiaohong Qiu, Ahmet Uyar, Minjun Wang, Wenjun Wu, Collaborative Web Services and Peer-to-Peer Grids to be presented at 2003 Collaborative Technologies Symposium (CTS'03). http://grids.ucs.indiana.edu/ptliupages/publications/foxwmc03keynot...
Fox, Geoffrey, Hasan Bulut, Kangseok Kim, Sung-Hoon Ko, Sangmi Lee, Sangyoon Oh, Xi Rao, Shrideep Pallickara, Quinlin Pei, Marlon Pierce, Ahmet Uyar, Wenjun Wu, Choonhan Youn, Dennis Gannon, and Aleksander Slominski, “An Architecture for e-Science and its Implications” in Proceedings of the 2002 International Symposium on Performance Evaluation of Computer and Telecommunications Systems, edited by Mohammed S.Obaidat, Franco Davoli, Ibrahim Onyuksel and Raffaele Bolla, Society for Modeling and Simulation International, pp 14-24 (2002). http://grids.ucs.indiana.edu/ptliupages/publications/spectsescience...
Fox, Geoffrey, Sung-Hoon Ko, Marlon Pierce, Ozgur Balsoy, Jake Kim, Sangmi Lee, Kangseok Kim, Sangyoon Oh, Xi Rao, Mustafa Varank, Hasan Bulut, Gurhan Gunduz, Xiaohong Qiu, Shrideep Pallickara, Ahmet Uyar, Choonhan Youn, Grid Services for Earthquake Science, Concurrency and Computation: Practice and Experience in ACES Special Issue, 14, 371-393, 2002. http://aspen.ucs.indiana.edu/gemmauisummer2001/resources/gemandit7.doc
Gould, M., Grant, L., Donnellan, A., McLeod, D., and Chen, Y-A., The QuakeSim Fault Database for California, Geological Society of America Abstracts with Programs, v. 35, n. 6, 2003.
Gould, M., Grant, L., Donnellan, A., McLeod, D., and Chen, Y-A., The Quakesim Fault Database for California, SCEC annual meeting, Oxnard, CA, 2003.
Gould, M., Grant, L., Donnellan, A., and D. McLeod. The GEM Fault Database: A Preliminary report on design and approach. Proceedings and Abstracts, SCEC Annual Meeting, p.75-76, 2002.
Granat, R., Detecting Regional Events via Statistical Analysis of Geodetic Networks, Pure and Applied Geophysics special issue, submitted.
Granat, R., and A. Donnellan, A hidden Markov model tool for geophysical data exploration, Pure and Appl. Geophys, 2271–2284, 2002.
Granat, R., G. Aydin, M Pierce, Z. Qi, Analysis of streaming GPS measurements of surface displacement through web services environment, IEEE Symposium on Computational Intelligence and Data Mining, 2007.
Grant, L., Donnellan, A., McLeod, D., Pierce, M., Fox, G., Chen, Y., Gould, M., Sung, S., and Rundle, P., “A Web Services-Based Universal Approach to Heterogeneous Fault Databases”, Computing in Science and Engineering Special Issue on Multi-Physics Modeling, July (2005) Vol. 7: 51-57.
Grant, L. B., Donnellan, A., McLeod, D., Pierce, M., Chen, A.Y., Gould, M., Noriega-Carlos, G., Paul, R., Sung, S., Ta, M.V. QuakeTables: The Fault Database for QuakeSim. 2004 AGU Fall Meeting. Dec, 2004. San Francisco, CA.
Grant, L. B., Donnellan, A., McLeod, D., Pierce, M., Chen, A.Y., Gould, M., Noriega-Carlos, G., Paul, R., Sung, S., Ta, M.V. QuakeTables: The QuakeSim Fault Database for California. 2004 SCEC Meeting. Sept, 2004. Palm Spring, CA
Grant, L. B. and Gould, M. M. Paleoseismic and geologic data for earthquake simulation. Computational Science, Data Assimilation, and Information Technology for Understanding Earthquake Physics and Dynamics, 3rd ACES International Workshop, Maui, Hawaii, USA, p.30, 2002.
Grant, L. B. and M. M. Gould. Assimilation of paleoseismic data for earthquake simulation. Submitted to Pure and Applied Geophysics, 2002.
Holliday, J., Rundle, J.B., Tiampo, K.F., Donnellan, A., Klein, W., and Turcotte, D.L., Evaluation and Development of the Pattern Informatics Method of Earthquake Forecasting, Fall AGU meeting, San Francisco, CA, 2003.
Parker, J., Lyzenga, G., Donnellan, A., Judd M., Baker T., Norton C., Tisdale E., Li P., Using the GeoFEST faulted region simulation system, Proceedings of the 4th ACES Workshop, Beijing China (in Press)
Parker, J.W., Donnellan, A., Lyzenga, G., Rundle, J.B., and Tullis, T., Performance Modeling Codes for the QuakeSim Problem Solving Environment, Computational Science, Proceedings of the International Conference on Computational Science (Part III), Springer-Verlag, Berlin, p. 845-862, 2003.
Parker, J., Lyzenga, G., Lee, J.-F., Lou, J., and Donnellan, A., Technologies for larger crustal studies by finite element simulation, Southern California Earthquake Center Annual Meeting, Oxnard, CA, September 8-11 2002.
Parker, J., G. Lyzenga, C. Norton, C. Zuffada, M. Glasscoe, J. Lou, A. Donnellan, Geophysical Finite Element Simulation Tool (GeoFEST): algorithms and validation for quasistatic regional faulted crust problems, Pure and Applied Geophysics special issue, submitted.
Parker, J. (2001), "Analysis and Modeling of Southern California Deformation ", APEC Cooperation for Earthquake Simulation, 2nd ACES Workshop Proceedings, M. Matsu'ura, K. Nakajima, P. Mora, eds. (ACES).
Pierce, M., Youn, C., and Fox, G., Interacting Data Services for Distributed Earthquake Modeling, ACES Workshop at the International Conference on Computational Science, Australia, 2003.
Rundle, J.B., Rundle, P.B., Donnellan, A., and Li, P., Computing and Visualizing the Complex Dynamics of Earthquake Fault Systems: Towards Ensemble Earthquake Forecasting, Fall AGU meeting, San Francisco, CA, 2003.
Rundle, J.B, Kellogg, L.H., Tiampo, K.F., Klein, W. and Rundle, P.B., Integrating NASA Space Geodetic Observations with Numerical Simulations of a Changing Earth, in Proceedings of the 3rd ACES Workshop, Maui HI, GOPRINT, Brisbane, Australia, p. 129-136, 2003.
Rundle, J.B., Turcotte, D.L., Sammis, C., Klein, W. and Shcherbakov, R. Statistical Physics Approach to Understanding the Multiscale Dynamics of Earthquake Fault Systems (invited), Review of Geophysics and Space Physics, v. 41, n. 4, DOI 10.1029/2003RG000135, 2003.
Rundle, J.B., Klein, W., Tiampo, K.F., Donnellan, A., and Fox, G., Strategies for the Detection and Analysis of Space-Time Patterns of Earthquakes on Complex Fault Systems, Proceedings of the International Conference on Computational Science (Part III), Springer-Verlag, Berlin, p. 827-836, 2003.
Rundle, J.B., Rundle, P.B., Donnellan, A. and Fox, G., Statistical Mechanics Approaches to the Modeling of Nonlinear Earthquake Physics, Conference proceedings of the International Union of Geodesy and Geophysics, Sapporo, Japan, 2003.
Rundle, J.B., Scaling and Critical Phenomena in Nature (book review of Hergarten, S., Self-Organized Criticality in Earth Systems, Springer-Verlag, 2002; ISBN 3540434526), Computing in Science and Engineering (CiSE), v. 5, n. 5, p. 80-81, 2003.
Rundle, J.B., Klein, W., Tiampo, K.F., Donnellan, A., and Fox, G.C., Strategies for the Detection and Analysis of Space-time Patterns in Complex Driven Threshold Systems, Proceedings of the International Conference on Computational Science (Part III), Springer-Verlag, Berlin, p. 827-844, 2003.
Rundle, JB, PB Rundle, W Klein, J Martins, KF Tiampo, A Donnellan and LH Kellogg, GEM plate boundary simulations for the Plate Boundary Observatory: Understanding the physics of earthquakes on complex fault systems, Pure and Appl. Geophys., 159, 2357-2381 2002.
Rundle, JB, W Klein, KF Tiampo, Andrea Donnellan, and GC Fox, Detection and Analysis of Space-Time Patterns in Complex Driven Threshold Systems, paper submitted to the 2003 International Conference on Computational Science, Melbourne, AU June 2-4, 2003.
Sung, S. and McLeod, D., "Ontology-Driven Semantic Matches between Database Schemas", Proceedings of International Workshop on Database Interoperability, Atlanta GA, 2006.
Tiampo, K.F., Rundle, J.B., McGinnis, S., Klein, W. and Ben-Zion, Y., Using Eigenpattern Analysis to Constrain Numerical Fault Models – Application to Southern California, in Proceedings of the 3rd ACES Workshop, Maui HI, GOPRINT, Brisbane, Australia, p. 67-74, 2003.
Tiampo, K.F., Rundle, J.B., Klein, W., Martins, J.S.S., and Ferguson, C.D., Ergodic Dynamics in a Natural Threshold System, Physics Review Letters, v. 91, n. 238501, p. 1-4, 2003.
Tiampo, K.F., JB Rundle, W Klein and JSS Martins, Ergodicity in Natural Fault Systems, in Proceedings of the 3rd ACES Workshop, Maui HI, GOPRINT, Brisbane, Australia, p. 75-82, 2003.
Tiampo, KF, JB Rundle, S. Gross and S. McGinnis, Parallelization of a large-scale computational earthquake simulation program, Concurrency & Computation, Practice and Experience, 14, 531-550, ACES Special Issue, 2002.
Tiampo, KF, JB Rundle, S. McGinnis and W. Klein, Pattern dynamics and forecast methods in seismically active regions, Pure and Appl. Geophys., 159, 2429-2467, 2002.
Tullis, T. E., Earthquake Models Using Rate And State Friction And Fast Multipoles, Geophysical Research Abstracts (European Geophysical Society), v. 5, p. 13211, 2003.
Youn, C., Pierce, M.E., and Fox, G.C., Building Problem Solving Environments with Application Web Service Toolkits, Special Issue of FGCS Magazine, 2003.
Youn, C., Pierce, M., and Fox, G., Developing Secure Web Services for Computational Portals, in Proceedings of 2003 International Conference on Security and Management, Las Vegas, NV, 2003.
Youn, C., Pierce, M., and Fox, G., Building Problem Solving Environments with Application Web Service Toolkits, International Conference on Computational Science, Australia, 2003.
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