• DocumentCode
    3347052
  • Title

    Improving rainfall measurement accuracy in spaceborne rain radar over sea

  • Author

    Capolino, F. ; Gentili, G. Biffi ; Facheris, L. ; Gherardelli, M. ; Giuli, D.

  • Author_Institution
    Dept. of Ingegneria Elettronica, Florence Univ., Italy
  • Volume
    3
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    1663
  • Abstract
    The problem of improving techniques for rainfall intensity estimation over the sea surface through spaceborne rain radars is analysed. In such case, the backscattered signal is composed of a rainfall volumetric contribution and of the sea surface contribution, which gives rise to the problem of extracting the information of interest from the composite echo. In particular, the authors focus on the problem of deriving a better estimation of the rain perturbed backscattering coefficient of the sea surface from polarimetric measurements, as a means for achieving such improvements. The effects of the additional roughness of the sea surface due to the rainfall have been taken into account and analysed by resorting to an electromagnetic model able to provide a full polarimetric description of the rainfall perturbed sea surface
  • Keywords
    atmospheric techniques; backscatter; electromagnetic wave scattering; geophysical signal processing; meteorological radar; ocean waves; radar cross-sections; radar signal processing; rain; remote sensing by radar; spaceborne radar; backscattered signal; composite echo; electromagnetic model; intensity estimation; polarimetric measurements; rain perturbed backscattering coefficient; rainfall measurement accuracy; roughness; sea surface; sea surface contribution; spaceborne rain radar; volumetric contribution; Backscatter; Data mining; Particle measurements; Radar measurements; Rain; Rough surfaces; Sea measurements; Sea surface; Spaceborne radar; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.523990
  • Filename
    523990