A major challenge facing geophysical science today is the unavailability of high-level analysis tools with which to study the massive amount of data produced by sensors or long simulations of climate models. We have developed a prototype information system called QUEST to provide content-based access to massive datasets. QUEST employs workstations as well as teraFLOP computers to analyze geoscience data to produce spatial-temporal features that can be used as high-level indexes. Our first application area is global change climate modeling. In the initial prototype, the first features extracted are cyclones trajectories from the output of multi-year climate simulations produced by a General Circulation Model. We present an algorithm for cyclone extraction and illustrate the use of cyclone indexes to access subsets of GCM data for further analysis and visualization.<>


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    Titel :

    Extracting spatio-temporal patterns from geoscience datasets


    Beteiligte:
    Mesrobian, E. (Autor:in) / Muntz, R.R. (Autor:in) / Santos, J.R. (Autor:in) / Shek, E.C. (Autor:in) / Mechoso, C.R. (Autor:in) / Farrara, J.D. (Autor:in) / Stolorz, P. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    1979494 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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