Issue No. 05 - Sept.-Oct. (2012 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2012.59
Andrea Donnellan , Jet Propulsion Laboratory, NASA
Jay Parker , Jet Propulsion Laboratory, NASA
Margaret Glasscoe , Jet Propulsion Laboratory, NASA
Eric De Jong , Jet Propulsion Laboratory, NASA
Marlon Pierce , Indiana University
Geoffrey Fox , Indiana University
Dennis McLeod , University of Southern California
John Rundle , University of California, Davis
Lisa Grant Ludwig , University of California, Irvine
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.
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
D. McLeod et al., "A Distributed Approach to Computational Earthquake Science: Opportunities and Challenges," in Computing in Science & Engineering, vol. 14, no. , pp. 31-42, 2012.