Jay Parker

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We propose to define, design, develop, deploy, and test a data semantics based system to provide interoperability for heterogeneous data in the earthquake science domain. We focus on the database management aspects of the work, including modeling the meaning of the data, providing for web service based access to heterogeneous data sources to scientists to(More)
The QuakeSim Problem Solving Environment uses a web-services approach to unify and deploy diverse remote data sources and processing services within a browser environment. Here we focus on the high-performance crustal modelling applications that will be included in this set of remote but in-teroperable applications. PARK is a model for unstable slip on a(More)
We describe the architecture and implementation of the Solid Earth Research Virtual Observatory (SERVO)'s Complexity Computational Environment. We base our design on a globally scalable distributed " cyber-infrastructure, " or Grid, built around a Web Services-based approach consistent with the extended Web Service Interoperability (WS-I+) model. In order(More)
— The PYRAMID parallel unstructured adaptive mesh refinement (AMR) library has been coupled with the GeoFEST geophysical finite element simulation tool to support parallel active tectonics simulations. Specifically, we have demonstrated modeling of coseismic and postseismic surface displacement due to a simulated Earthquake for the Landers system of(More)
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(More)
In order to develop a solid earth science framework for understanding and studying of active tectonic and earthquake processes, this task develops simulation and analysis tools to study the physics of earthquakes using state-of-the-art modeling, data manipulation, and pattern recognition technologies. We develop clearly defined accessible data formats and(More)
—QuakeSim is a project to develop a modeling environment for studying earthquake processes using a web services environment. In order to model interseismic processes multiple data types must be ingested including spaceborne GPS and InSAR data, geological fault data, and seismicity data. QuakeSim federates data from these multiple sources and integrates the(More)
—QuakeSim is problem-solving environment for understanding earthquake processes through the integration of multiscale models and data. The goal of QuakeSim is to substantially improve earthquake forecasts, which will ultimately lead to mitigation of damage from this natural hazard. Improved earthquake forecasting is dependent on measurement of surface(More)