HR: 10:50h
AN: U21B-03    [PDF]
TI: The Solid Earth Research Virtual Observatory
AU: * Donnellan, A
EM: donnellan@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109 United States
AU: Rundle, J B
EM: rundle@physics.ucdavis.edu
AF: University of California, Department of Physics One Shields Avenue, Davis, CA 95616 United States
AU: Fox, G
EM: gcf@indiana.edu
AF: Indiana University, Community Grid Computing Lab 501 N. Morton, Suite 224, Bloomington, IN 47404 United States
AU: Pierce, M
EM: marpiec@indiana.edu
AF: Indiana University, Community Grid Computing Lab 501 N. Morton, Suite 224, Bloomington, IN 47404 United States
AU: McLeod, D
EM: mcleod@pollux.usc.edu
AF: University of Southern California, 3651 Trousedale Parkway, Los Angeles, CA 90089
AU: Parker, J W
EM: Jay.W.Parker@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109 United States
AU: Tullis, T
EM: Terry_Tullis@brown.edu
AF: Brown University, Department of Geological Sciences, Providence, RI 02912 United States
AU: Grant, L
EM: lgrant@uci.edu
AF: University of California, Environmental Analysis and Design, Irvine, CA 92697 United States
AB: Under the auspices of NASA we are developing the Solid Earth Research Virtual Observatory (SERVO). The initial focus of the observatory is spaced-based observational data, ground-based sensor data (GPS, seismicity), simulation data, and published/historical fault measurements, coupled with earthquake fault and tectonic modeling and pattern recognition software. This observatory will enable investigators to seamlessly merge multiple data sets and models, and create new queries. In the SERVO framework, simulation data will be archived together with analysis/animation tools and the original simulation code. Observational data, which is heterogeneous and distributed in nature, will be accessible through cooperative federated databases. SERVO will include tools for visualization, datamining and pattern recognition, with data fusion into a web services (portal) based Problem Solving Environment (PSE). SERVO couples distributed data sources, applications, and hardware resources through an XML-based Web Services framework. Users access the services (and thus distributed resources) through Web browser-based Problem Solving Environment clients. The Web services approach defines standard, programming language-independent application programming interfaces, so non-browser client applications may also be built. Initial application codes in SERVO are GeoFEST, a parallel 3D finite element code, Virtual California, a boundary element code to simulate fault interactions, PARK, a boundary element code for studying unstable slip on faults, and two pattern recognizers RDAHMM, which uses a modification of Hidden Markov Models to analyze time series data, and PDPC, which looks for anomalies in seismicity data.
UR: http://www.servogrid.org
DE: 1206 Crustal movements--interplate (8155)
DE: 1242 Seismic deformations (7205)
DE: 8123 Dynamics, seismotectonics
DE: 8199 General or miscellaneous
SC: U
MN: 2003 Fall Meeting