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Issue No. 05 - Sept.-Oct. (2012 vol. 14)
ISSN: 1521-9615
pp: 31-42
Dennis McLeod , University of Southern California
John Rundle , University of California, Davis
Marlon Pierce , Indiana University
Geoffrey Fox , Indiana University
Margaret Glasscoe , Jet Propulsion Laboratory, NASA
Eric De Jong , Jet Propulsion Laboratory, NASA
Lisa Grant Ludwig , University of California, Irvine
Jay Parker , Jet Propulsion Laboratory, NASA
Andrea Donnellan , Jet Propulsion Laboratory, NASA
ABSTRACT
Advances in understanding earthquakes require the integration of models and multiple distributed data products. Increasingly, data are acquired through large investments, and utilizing their full potential requires a coordinated effort by many users, independent researchers, and groups who are often distributed both geographically and by expertise.
INDEX TERMS
Earthquakes, Data models, Computational modeling, Global Positioning System, Analytical models, Time series analysis, Deformable models, Predictive models, scientific computing, Web services interoperability, Earth and atmospheric sciences, computational earthquake science
CITATION
Dennis McLeod, John Rundle, Marlon Pierce, Geoffrey Fox, Margaret Glasscoe, Eric De Jong, Lisa Grant Ludwig, Jay Parker, Andrea Donnellan, "A Distributed Approach to Computational Earthquake Science: Opportunities and Challenges", Computing in Science & Engineering, vol. 14, no. , pp. 31-42, Sept.-Oct. 2012, doi:10.1109/MCSE.2012.59
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