A Distributed Approach to Computational Earthquake Science: Opportunities and Challenges

被引：2
|
作者：
Donnellan, Andrea
Parker, Jay
Glasscoe, Margaret
De Jong, Eric
Pierce, Marlon [1 ]
Fox, Geoffrey [1 ]
McLeod, Dennis
Rundle, John [2 ]
Ludwig, Lisa Grant [3 ]
机构：
[1] Indiana Univ, Bloomington, IN 47405 USA
[2] Univ Calif Davis, Davis, CA 95616 USA
[3] Univ Calif Irvine, Irvine, CA USA
来源：
COMPUTING IN SCIENCE & ENGINEERING | 2012年 / 14卷 / 05期
关键词：
DEFORMATION; MODELS; INSAR; GPS;
D O I：
10.1109/MCSE.2012.59
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
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页码：31 / 42
页数：12
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