HR: 0800h
AN: SF41A-0754    [Abstracts]
TI: The SCEC Community Modeling Environment (SCEC/CME) - An Overview of its Architecture and Current Capabilities
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: University of Southern California, 3651 Trousdale Parkway, Los Angeles, CA 90089 United States
AU: Minster, B
EM: jbminster@ucsd.edu
AF: Scripps Institution of Oceanography, 8602 La Jolla Shores Drive, La Jolla, CA 92037 United States
AU: Moore, R
EM: moore@sdsc.edu
AF: San Diego Supercomputer Center, 10100 Hopkins Drive, La Jolla, CA 92093 United States
AU: Kesselman, C
EM: carl@isi.edu
AF: USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA 90292 United States
AU: SCEC ITR Collaboration, T
EM: scecinfo@usc.edu
AF: Southern California Earthquake Center, 3651 Trousdale Parkway, Los Angeles, CA 90089 United States
AB: The Southern California Earthquake Center (SCEC), in collaboration with the San Diego Supercomputer Center, the USC Information Sciences Institute, the Incorporated Research Institutions for Seismology, and the U.S. Geological Survey, is developing the Southern California Earthquake Center Community Modeling Environment (CME) under a five-year grant from the National Science Foundation's Information Technology Research (ITR) Program jointly funded by the Geosciences and Computer and Information Science & Engineering Directorates. The CME system is an integrated geophysical simulation modeling framework that automates the process of selecting, configuring, and executing models of earthquake systems. During the Project's first three years, we have performed fundamental geophysical and information technology research and have also developed substantial system capabilities, software tools, and data collections that can help scientist perform systems-level earthquake science. The CME system provides collaborative tools to facilitate distributed research and development. These collaborative tools are primarily communication tools, providing researchers with access to information in ways that are convenient and useful. The CME system provides collaborators with access to significant computing and storage resources. The computing resources of the Project include in-house servers, Project allocations on USC High Performance Computing Linux Cluster, as well as allocations on NPACI Supercomputers and the TeraGrid. The CME system provides access to SCEC community geophysical models such as the Community Velocity Model, Community Fault Model, Community Crustal Motion Model, and the Community Block Model. The organizations that develop these models often provide access to them so it is not necessary to use the CME system to access these models. However, in some cases, the CME system supplements the SCEC community models with utility codes that make it easier to use or access these models. In some cases, the CME system also provides alternatives to the SCEC community models. The CME system hosts a collection of community geophysical software codes. These codes include seismic hazard analysis (SHA) programs developed by the SCEC/USGS OpenSHA group. Also, the CME system hosts anelastic wave propagation codes including Kim Olsen's Finite Difference code and Carnegie Mellon's Hercules Finite Element tool chain. The CME system can execute a workflow, that is, a series of geophysical computations using the output of one processing step as the input to a subsequent step. Our workflow capability utilizes grid-based computing software that can submit calculations to a pool of computing resources as well as data management tools that help us maintain an association between data files and metadata descriptions of those files. The CME system maintains, and provides access to, a collection of valuable geophysical data sets. The current CME Digital Library holdings include a collection of 60 ground motion simulation results calculated by a SCEC/PEER working group and a collection of Greens Functions calculated for 33 TriNet broadband receiver sites in the Los Angeles area.
UR: http://www.scec.org/cme
DE: 7260 Theory and modeling
DE: 8121 Dynamics, convection currents and mantle plumes
DE: 3210 Modeling
DE: 3220 Nonlinear dynamics
DE: 1510 Dynamo theories
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting