• DocumentCode
    2655021
  • Title

    Visual data fusion for applications of high-resolution numerical weather prediction

  • Author

    Treinish, Lloyd A.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2000
  • fDate
    13-13 Oct. 2000
  • Firstpage
    477
  • Lastpage
    480
  • Abstract
    Non-traditional applications of scientific data challenge the typical approaches to visualization. In particular popular scientific visualization strategies fail when the expertise of the data consumer is in a different field than the one that generated the data and data from the user´s domain must be utilized as well. This problem occurs when predictive weather simulations are used for a number of weather-sensitive applications. A data fusion approach is adopted for visualization design and utilized for specific example problems.
  • Keywords
    data visualisation; digital simulation; geophysics computing; sensor fusion; weather forecasting; data consumer; data fusion approach; high-resolution numerical weather prediction; predictive weather simulations; scientific data; scientific visualization strategies; visual data fusion; visualization design; weather-sensitive applications; Application software; Atmospheric modeling; Computational modeling; Computer graphics; Data visualization; Decision making; Fusion power generation; Humans; Predictive models; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization 2000. Proceedings
  • Conference_Location
    Salt Lake City, UT, USA
  • Print_ISBN
    0-7803-6478-3
  • Type

    conf

  • DOI
    10.1109/VISUAL.2000.885736
  • Filename
    885736