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.

引用

页码：31 / 42

页数：12

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