HR: 0830h
AN: NG11A-0179    [PDF]
TI: SCEC Community Modeling Environment (SCEC/CME) - Seismic Hazard Analysis Applications and Infrastructure
AU: * Maechling, P J
EM: maechlin@usc.edu
AF: Southern California Earthquake Center, 3651 Trousdale Parkway, Los Angeles, CA 90089 United States
AU: Jordan, T H
EM: tjordan@usc.edu
AF: Southern California Earthquake Center, 3651 Trousdale Parkway, Los Angeles, CA 90089 United States
AU: Kesselman, C
EM: carl@isi.edu
AF: University of Southern California Information Sciences Institute, 4676 Admiralty Way Suite 1001, Marina del Rey, CA 90292 United States
AU: Moore, R
EM: moore@sdsc.edu
AF: San Diego Supercomputer Center, 9500 Gilman Drive, La Jolla, CA 92093 United States
AU: Minster, B
EM: jbminster@ucsd.edu
AF: Scripps Institution of Oceanography, 8765 Biological Grade, La Jolla, CA 92093 United States
AU: SCEC ITR Collaboration, .
EM: maechlin@usc.edu
AF: Southern California Earthquake Center, 3651 Trousdale Parkway, Los Angeles, CA 90089 United States
AB: The Southern California Earthquake Center (SCEC) has formed a Geoscience/IT partnership to develop an advanced information infrastructure for system-level earthquake science in Southern California. This SCEC/ITR partnership comprises SCEC, USC's Information Sciences Institute (ISI), the San Diego Supercomputer Center (SDSC), the Incorporated Institutions for Research in Seismology (IRIS), and the U.S. Geological Survey. This collaboration recently completed the second year in a five-year National Science Foundation (NSF) funded ITR project called the SCEC Community Modeling Environment (SCEC/CME). The goal of the SCEC/CME is to develop seismological applications and information technology (IT) infrastructure to support the development of Seismic Hazard Analysis (SHA) programs and other geophysical simulations. The SHA application programs developed by project collaborators include a Probabilistic Seismic Hazard Analysis system called OpenSHA [Field et al., this meeting]. OpenSHA computational elements that are currently available include a collection of attenuation relationships, and several Earthquake Rupture Forecasts (ERF's). Geophysicists in the collaboration have also developed Anelastic Wave Models (AWMs) using both finite-difference and finite-element approaches. Earthquake simulations using these codes have been run for a variety of earthquake sources. A Rupture Dynamic Model (RDM) has also been developed that couples a rupture dynamics simulation into an anelastic wave model. The collaboration has also developed IT software and hardware infrastructure to support the development, execution, and analysis of SHA programs. To support computationally expensive simulations, we have constructed a grid-based system utilizing Globus software [Kesselman et al., this meeting]. Using the SCEC grid, project collaborators can submit computations from the SCEC/CME servers to High Performance Computers at USC, NPACI and Teragrid High Performance Computing Centers. We have developed a SCEC Community Velocity Model server based on Internet standards (XML, SOAP, and WSDL) to provide access to the SCEC Community Velocity Model. We have also continued development of the SCEC Fault Information System (SCEC/FIS) to provide access to the SCEC Community Fault Model and the SCEC Fault Activity Database. Data generated and archived by the SCEC/CME is stored in a digital library system, the Storage Resource Broker (SRB) [Minster et al., this meeting]. This system provides a robust and secure system for maintaining the association between the data sets and their metadata. A browser-based computational pathway assembly web site has been developed [Gupta et al., this meeting]. Users can compose SHA calculations and call SCEC/CME computational programs to process the data and the output. By assembling a series of computational steps, users can develop complex computational pathways the validity of which can be verified with an ontology-based pathway assembly tool. Data visualization software developed by the collaboration to support analysis and validation of data sets includes 4D wave propagation visualization software based on OpenGL [Thiebaux et al., this meeting] and 3D Geowall-based visualization of earthquakes and faults.
UR: http://www.scec.org/cme
DE: 7209 Earthquake dynamics and mechanics
DE: 7212 Earthquake ground motions and engineering
DE: 7223 Seismic hazard assessment and prediction
DE: 7294 Instruments and techniques
SC: Nonlinear Geophysics [NG]
MN: 2003 Fall Meeting