• DocumentCode
    1455852
  • Title

    Detection of rain/no rain condition on the ground based on radar observations

  • Author

    Liu, H. ; Chandrasekar, V. ; Gorgucci, E.

  • Author_Institution
    Colorado State Univ., Fort Collins, CO, USA
  • Volume
    39
  • Issue
    3
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    696
  • Lastpage
    699
  • Abstract
    Detection of rain/no-rain condition on the ground is important for application of radar rainfall algorithms. A radial basis function neural network-based scheme for rain/no-rain determination on the ground using vertical profiles of radar data is described. Evaluation based on WSR-88D radar over central Florida indicates that the rain/no-rain condition can be inferred fairly accurately
  • Keywords
    meteorological radar; rain; remote sensing by radar; Melbourne; USA; WSR-88D radar; central Florida; radar data; radar observations; radar rainfall algorithms; radial basis function neural network-based scheme; rain/no rain condition; vertical profiles; wet ground; Electromagnetic scattering; Instruments; Meteorological radar; Neural networks; Radar applications; Radar detection; Radar measurements; Rain; Reflectivity; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.911127
  • Filename
    911127