|
BEACON eSpace at Jet Propulsion Laboratory >
JPL Technical Report Server >
JPL TRS 1992+ >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/40451
|
| Title: | QuakeSim and the Solid Earth Research Virtual Observatory |
| Authors: | Donnellan, Andrea
Rundle, John
Fox, Geoffrey
McLeod, Dennis
Grant, Lisa
Tullis, Terry
Pierce, Marlon
Parker, Jay
Lyzenga, Greg |
| Keywords: | QuakeSim
solid Earth
virtual observatory |
| Issue Date: | 9-Jul-2004 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004 |
| Citation: | 4th International Asia Pacific Economic Cooperation (APEC) Cooperation for Earthquake Simulation (ACES) Workshop, Beijing, China, July 9-14, 2004 |
| 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 Iinkage of Geoinforrnatics 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 largescale data assimilation grid. |
| URI: | http://hdl.handle.net/2014/40451 |
| Appears in Collections: | JPL TRS 1992+
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
