| We propose to expand the development of our QuakeSim Web Services environment to integrate both real-time and archival sensor data with high-performance computing applications for data mining and assimilation. This work will substantially improve earthquake forecasts, which will ultimately lead to mitigation of damage from this natural hazard. We will federate sensor data sources, with a focus on InSAR and GPS data, for an improved modeling environment for forecasting earthquakes. Improved earthquake forecasting is dependent on measurement of surface deformation as well as analysis of geological and seismological data. Space-borne technologies, in the form of continuous GPS networks and InSAR satellites, are the key contributors to measuring surface deformation. These disparate measurements form a complex sensor web in which data must be integrated into comprehensive multi-scale models. In order to account for the complexity of modeled fault systems, investigations must be carried out on high-performance computers. We will build upon our "Grid of Grids" approach, which included the development of extensive Geographical Information System-based "Data Grid" services. In this project we will extend our earlier approach to integrate the Data Grid components with more improved "Execution Grid" services that are suitable for interacting with high-end computing resources. These services will be deployed on the Columbia computer at NASA Ames and the Cosmos computer cluster at JPL. Our period of performance is October 2, 2006 - Septemember 25, 2009. Entry level TRL of this project is 3 with an exit TRL at the end of the project of 5. |