• DocumentCode
    1505777
  • Title

    A Distributed Approach to Computational Earthquake Science: Opportunities and Challenges

  • Author

    Donnellan, Andrea ; Parker, Jay ; Glasscoe, Margaret ; De Jong, Eric ; Pierce, Marlon ; Fox, Geoffrey ; McLeod, Dennis ; Rundle, John ; Ludwig, Lisa Grant

  • Volume
    14
  • Issue
    5
  • fYear
    2012
  • Firstpage
    31
  • Lastpage
    42
  • 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.
  • Keywords
    distributed processing; earthquakes; geophysics computing; computational earthquake science; distributed approach; distributed data products; large investments; Analytical models; Computational modeling; Data models; Deformable models; Earthquakes; Global Positioning System; Predictive models; Time series analysis; Earth and atmospheric sciences; Web services interoperability; computational earthquake science; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2012.59
  • Filename
    6193082
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1505777