• DocumentCode
    2054212
  • Title

    Comparison of bright-band models with dual-frequency air-borne radar data

  • Author

    Awaka, Jun ; Kumagai, Hiroshi ; Okamoto, Ken´ichi

  • Author_Institution
    Sch. of Eng., Hkkaido Tokai Univ., Sapporo, Japan
  • fYear
    1993
  • fDate
    18-21 Aug 1993
  • Firstpage
    829
  • Abstract
    Backscatter and attenuation properties of bright-band are computed at 10 and 34.5 GHz by two bright-band models. The first model assumes spherical particles with the composition of each particle being a uniform mixture of ice, water, and air. The second model assumes concentric spherical particles. Each particle has a snow core covered with water. The computed results are compared with the experimental results obtained by a dual-frequency air-borne radar in the case of tropical storm which was accompanied by bright-band. Three negative exponential type drop-size distributions, i.e. Marshall and Palmer distribution, Joss drizzle distribution, and Joss thunderstorm distribution, are used in the computations. The best agreement between computations and experimental results is obtained by the first model assuming Joss thunderstorm drop-size distribution
  • Keywords
    atmospheric techniques; rain; remote sensing; remote sensing by radar; storms; SHF EHF; atmosphere meteorology; bright band model; drop size distribution; dual frequency airborne radar; geophysical measurement technique; microwave; radar remote sensing; radiowave backscatter; rain rainfall; snow; spherical particle; storm; thunderstorm; tropical storm; Attenuation; Data engineering; Data mining; Distributed computing; Ice; Particle scattering; Radar scattering; Rain; Snow; Spaceborne radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-1240-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1993.322209
  • Filename
    322209