HR: 0800h
AN: SF41A-0757    [Abstracts]
TI: The SPICE Project: Towards a Digital Library With Codes, Training Material, and Simulation data
AU: * Igel, H
EM: heiner.igel@lmu.de
AF: Department of Earth and Environmental Sciences, Theresienstrasse 41, Munich, 80333 Germany
AU: Wassermann, J
EM: jowa@geophysik.uni-muenchen.de
AF: Department of Earth and Environmental Sciences, Theresienstrasse 41, Munich, 80333 Germany
AU: Stupazzini, M
EM: stupa@stru.polimi.it
AF: Department of Earth and Environmental Sciences, Theresienstrasse 41, Munich, 80333 Germany
AU: Vilotte, J
EM: vilotte@ipgp.jussieu.fr
AF: Institut de Physique du Globe, 4, place Jussieu, Paris, 75252 France
AB: SPICE (\bf{S}eismic wave \bf{P}ropagation and \bf{I}maging in \bf{C}omplex media: a \bf{E}uropean network) is a Marie Curie Research Training Network funded within the 6th EU-framework programme. The network aims at integrating 14 European institutions with specialisations in physical, mathematical, geological, and computational aspects of wave propagation. The goal is to develop, verify and apply computational tools for wave propagation and imaging problems on all scales. Specific research areas include the determination of global Earth structure; the quantitative estimation of strong ground motion; the characterization and monitoring of reservoirs; understanding the structure and processes inside volcanoes; and simulating the physical processes of earthquake rupture. While the overall goal of the research training network is to train young scientists in the particular research areas, the specific technical goal of the SPICE network is to develop infrastructure for an open digital library with (1) computational algorithms ready for use by the scientific community; (2) accessible simulation results (e.g. ground motions from earthquake scenarios, global seismograms, dynamic rupture modelling); and (3) training material. One of the most fundamental questions to address therefore is the specific format with which synthetic data should be stored in the long term. The development of such standards and programs to access and visualize synthetic data is being carried out in close collaboration with the national and international seismic data centres (e.g., ORFEUS, IRIS). In our poster we classify the synthetic data types, discuss interfaces to observational data and present preliminary results based on SEED type formats.
UR: http://www.spice-rtn.org
DE: 7260 Theory and modeling
DE: 7299 General or miscellaneous
DE: 0902 Computational methods, seismic
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting