pure and applied geophysics

, Volume 163, Issue 11, pp 2263–2279

QuakeSim and the Solid Earth Research Virtual Observatory

Authors

    • Science Division, Jet Propulsion LaboratoryCalifornia Institute of Technology
  • John Rundle
    • Center for Computational Science and EngineeringUniversity of California
  • Geoffrey Fox
    • Community Grid Computing LaboratoryIndiana University
  • Dennis McLeod
    • Computer Science DepartmentUniversity of Southern California
  • Lisa Grant
    • Environmental Health, Science, and PolicyUniversity of California
  • Terry Tullis
    • Brown University
  • Marlon Pierce
    • Community Grid Computing LaboratoryIndiana University
  • Jay Parker
    • Science Division, Jet Propulsion LaboratoryCalifornia Institute of Technology
  • Greg Lyzenga
    • Science Division, Jet Propulsion LaboratoryCalifornia Institute of Technology
  • Robert Granat
    • Science Division, Jet Propulsion LaboratoryCalifornia Institute of Technology
  • Margaret Glasscoe
    • Science Division, Jet Propulsion LaboratoryCalifornia Institute of Technology
Article

DOI: 10.1007/s00024-006-0126-y

Cite this article as:
Donnellan, A., Rundle, J., Fox, G. et al. Pure appl. geophys. (2006) 163: 2263. doi:10.1007/s00024-006-0126-y

Abstract

We are developing simulation and analysis tools in order to develop a solid Earth Science framework for understanding and studying active tectonic and earthquake processes. The goal of QuakeSim and its extension, the Solid Earth Research Virtual Observatory (SERVO), is to study the physics of earthquakes using state-of-the-art modeling, data manipulation, and pattern recognition technologies. We are developing clearly defined accessible data formats and code protocols as inputs to simulations, which are adapted to high-performance computers. The solid Earth system is extremely complex and nonlinear, resulting in computationally intensive problems with millions of unknowns. With these tools it will be possible to construct the more complex models and simulations necessary to develop hazard assessment systems critical for reducing future losses from major earthquakes. We are using Web (Grid) service technology to demonstrate the assimilation of multiple distributed data sources (a typical data grid problem) into a major parallel high-performance computing earthquake forecasting code. Such a linkage of Geoinformatics with Geocomplexity demonstrates the value of the Solid Earth Research Virtual Observatory (SERVO) Grid concept, and advances Grid technology by building the first real-time large-scale data assimilation grid.

Keywords

EarthquakesimulationdeformationGPSQuakeSimweb services

Copyright information

© Birkhäuser Verlag, Basel, 2006