• DocumentCode
    348008
  • Title

    Classification of volumetric storm cell patterns

  • Author

    Alexiuk, M. ; Pizzi, N. ; Pedrycz, W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    2
  • fYear
    1999
  • fDate
    9-12 May 1999
  • Firstpage
    1081
  • Abstract
    Meteorological volumetric radar data are used to detect thunderstorms, storm events responsible for nearly all severe summer weather. Discriminating between different types of thunderstorms is challenge due to the high dimensionality of the data, the paucity of labeled data, and the imprecision of the labels. Several classification strategies and preprocessing techniques are tested to facilitate the discrimination between four types of storm events: wind, heavy rain, tornado and hail.
  • Keywords
    geophysics computing; meteorological radar; meteorology; pattern classification; radar computing; thunderstorms; classification strategies; hail; heavy rain; meteorological volumetric radar data; preprocessing techniques; radar data processing system; severe summer weather; storm events; thunderstorms; tornado; volumetric storm cell patterns; wind; Data engineering; Meteorological radar; Meteorology; Radar antennas; Radar detection; Rain; Reflectivity; Storms; Tornadoes; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
  • Conference_Location
    Edmonton, Alberta, Canada
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-5579-2
  • Type

    conf

  • DOI
    10.1109/CCECE.1999.808201
  • Filename
    808201