A Distributed Approach to Computational Earthquake Science: Opportunities and Challenges

A Distributed Approach to Computational Earthquake Science: Opportunities and Challenges

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...

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Veröffentlicht in:Computing in science & engineering 2012-09, Vol.14 (5), p.31-42
Hauptverfasser: Donnellan, Andrea, Parker, Jay, Glasscoe, Margaret, De Jong, Eric, Pierce, Marlon, Fox, Geoffrey, McLeod, Dennis, Rundle, John, Ludwig, Lisa Grant
Format: Artikel
Sprache:eng
Schlagworte:
Analytical models
Computation
computational earthquake science
Computational modeling
Data models
Deformable models
Earth and atmospheric sciences
Earthquake engineering
Earthquakes
Global Positioning System
Investments
Mathematical models
Predictive models
scientific computing
Seismic phenomena
Time series analysis
Web services interoperability
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Beschreibung
Zusammenfassung: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.
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2012.59