• DocumentCode
    72180
  • Title

    The Dual-Wavelength Method for Hailstorm Detection by Airborne Radar

  • Author

    Louf, Valentin ; Pujol, Olivier ; Sauvageot, Henri ; Riedi, Jerome

  • Author_Institution
    Lab. d´Opt. Atmospherique, Univ. Lille 1, Villeneuve d´Ascq, France
  • Volume
    52
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    7327
  • Lastpage
    7335
  • Abstract
    This paper focuses on a dual-wavelength technique to detect hail in convective cells from a weather airborne radar. The topic is of great interest since hailstorm is the main meteorological hazard in the context of civil aviation. Considering S, C, and X frequency bands, the question of the most efficient frequency couple is addressed by means of simulations of airborne radar observations. A convective system made of two successive rows of convective towers is first modeled. Another one extracted from a real hailstorm is then considered. It is shown that the quantity dy/dr, where r is the radial coordinate along the ray path and y is the measured differential reflectivity at two different wavelengths, is a good indicator of hail areas. This quantity, associated with the measured reflectivity at the less attenuated wavelength (i.e., the longest one), enables one to identify convective cells containing hail. It appears that the frequency couples S-X and C-X are the best ones for hail detection. In the context of civil aviation, the second one (C-X) permits one to minimize antenna size.
  • Keywords
    airborne radar; reflectivity; civil aviation; convective cells; convective towers; differential reflectivity; dual-wavelength method; hailstorm detection; meteorological hazard; weather airborne radar; Airborne radar; Attenuation; Discrete wavelet transforms; Meteorological radar; Poles and towers; Radar antennas; Airborne radar; dual wavelength; meteorological hazard; phased-array radar (PAR); precipitating systems; radar frequency comparison;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2014.2311316
  • Filename
    6786318