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Growing importance of metadata for synthetics: Calculating and Sharing Synthetic Seismic Data

Growing importance of metadata for synthetics: Calculating and Sharing Synthetic Seismic Data. Dogan Seber University of California, San Diego San Diego Supercomputer Center. Metadata: Two definitions. Used to refer to “attributes in data sets”

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Growing importance of metadata for synthetics: Calculating and Sharing Synthetic Seismic Data

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  1. Growing importance of metadata for synthetics:Calculating and Sharing Synthetic Seismic Data Dogan SeberUniversity of California, San DiegoSan Diego Supercomputer Center

  2. Metadata: Two definitions • Used to refer to “attributes in data sets” • Used as “data about data: archival information for a data set following a certain standard (e.g, Dublin Core, FGDC)”

  3. Challenges faced in a community-based synthetic seismogram calculations and exchange • Inaccessibility of software • Complexity of software • Lack of computational resources • Lack of reliable high resolution earth models • Lack of data exchange standards and metadata

  4. What IT could offer … • The Grid • Distributed computing environment (e.g., TeraGrid) • Seamless access to distributed data resources (e.g., GEON) • Service-based architecture design (e.g., Web services) • Metadata (in XML format?) • Attribute level • Archival/Librarian level

  5. An Example from GEON • Grid-enabled synthetic seismogram calculation system for research and education • In collaboration with LLNL (Bill Glassley and Shawn Larsen) • Service-based access to resources and data • Sharable control files for reproducible calculations • Long term archival of results

  6. 3D Seismic Wave Propagation

  7. HPCCenters • Earthquakes • Stations • Waveform IRIS LLNL SDSC Gsat Digital Libraries/GEON Data Grid Earth model Earth model Earth model Modeling earthquake recordings in 2D/3D environment to study the interior of the Earth e3d

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