HR: 0800h
AN: IN21C-1195    [Abstracts]
TI: The SCEC Community Modeling Environment(SCEC/CME): A Collaboratory for Seismic Hazard Analysis
AU: * Maechling, P J
EM: maechlin@usc.edu
AF: University of Southern California, 3651 Trousdale Parkway Zumberge Hall of Science, Los Angeles, CA 90089 United States
AU: Jordan, T H
EM: tjordan@usc.edu
AF: University of Southern California, 3651 Trousdale Parkway Zumberge Hall of Science, Los Angeles, CA 90089 United States
AU: Minster, J B
EM: jbminster@ucsd.edu
AF: Scripps Institution of Oceanography, 8765 Biological Grade, La Jolla, CA 92093 United States
AU: Moore, R
EM: moore@sdsc.edu
AF: San Diego Supercomputer Center, 9500 Gilman Drive, La Jolla, CA 92093 United States
AU: Kesselman, C
EM: carl@isi.edu
AF: USC Information Sciences Institute, 4676 Admiralty Way, Suite 1001, Marina del Rey, CA 90292 United States
AB: The SCEC Community Modeling Environment (SCEC/CME) Project is an NSF-supported Geosciences/IT partnership that is actively developing an advanced information infrastructure for system-level earthquake science in Southern California. This partnership includes 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. 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 on the Project include a Probabilistic Seismic Hazard Analysis system called OpenSHA. OpenSHA computational elements that are currently available include a collection of attenuation relationships, and several Earthquake Rupture Forecasts (ERFs). 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. Rupture Dynamic Model (RDM) codes have also been developed that simulate friction-based fault slip. The SCEC/CME collaboration has also developed IT software and hardware infrastructure to support the development, execution, and analysis of these SHA programs. To support computationally expensive simulations, we have constructed a grid-based scientific workflow system. Using the SCEC grid, project collaborators can submit computations from the SCEC/CME servers to High Performance Computers at USC and TeraGrid High Performance Computing Centers. Data generated and archived by the SCEC/CME is stored in a digital library system, the Storage Resource Broker (SRB). This system provides a robust and secure system for maintaining the association between the data seta and their metadata. To provide an easy-to-use system for constructing SHA computations, a browser-based workflow assembly web portal has been developed. Users can compose complex SHA calculations, specifying SCEC/CME data sets as inputs to calculations, and calling SCEC/CME computational programs to process the data and the output. Knowledge-based software tools have been implemented that utilize ontological descriptions of SHA software and data can validate workflows created with this pathway assembly tool. Data visualization software developed by the collaboration supports analysis and validation of data sets. Several programs have been developed to visualize SCEC/CME data including GMT-based map making software for PSHA codes, 4D wavefield propagation visualization software based on OpenGL, and 3D Geowall-based visualization of earthquakes, faults, and seismic wave propagation. The SCEC/CME Project also helps to sponsor the SCEC UseIT Intern program. The UseIT Intern Program provides research opportunities in both Geosciences and Information Technology to undergraduate students in a variety of fields. The UseIT group has developed a 3D data visualization tool, called SCEC-VDO, as a part of this undergraduate research program.
UR: http://www.scec.org/cme
DE: 0594 Instruments and techniques
DE: 3245 Probabilistic forecasting (3238)
DE: 7212 Earthquake ground motions and engineering seismology
DE: 7223 Earthquake interaction, forecasting, and prediction (1217, 1242)
DE: 7290 Computational seismology
SC: Earth and Space Science Informatics [IN]
MN: Fall Meeting 2005