Visualization for Ocean General Circulation Model via Multi-dimensional Transfer Function and Multivariate Analysis

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Abstract

  Visualization of numerical simulation data is necessary to intuitively understand natural phenomena or structures. However, today's massively parallel supercomputers output huge datasets from large scale high resolution simulations. Due to its size, it is difficult to extract informative data from these datasets. We suggest here the use of combining a feature extraction method and the creation of a transfer function in order to obtain an effective visualization method for ocean general circulation model data. Features such as ocean currents, vortices or water masses are extracted using multivariate analysis which clusters temperature, salinity fluid velocity, etc.<br>

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Details 詳細情報について

  • CRID
    1390001205301890176
  • NII Article ID
    130004544054
  • DOI
    10.11308/tjsst.4.168
  • ISSN
    18835058
    18835031
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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