• DocumentCode
    2676064
  • Title

    Application of single drop scattering algorithms to rain related retrieval

  • Author

    Klugmann, Dirk ; Fiser, Ondrej

  • Author_Institution
    LISTaR GmbH, Leipzig
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3309
  • Lastpage
    3312
  • Abstract
    Since many years radars are known as valuable tools to retrieve rain. Applying well established relations for different types of radar allows accessing many rain parameters. For calculating the scattering function, the flattening of rain drops constitutes a non-negligible error source. In this contribution, different algorithms are applied to calculate the scattering function or the cross section of rain drops. Their results are compared to each other. A point matching algorithm serves as reference. To this reference, results from a Mie scattering algorithm, and - for backscatter - the Rayleigh approximation and an algorithm correcting the backscatter cross section according to the Rayleigh approximation for drop flattening are compared. The findings from this inter-comparison are presented for transmitting frequencies of 10 GHz, 24 GHz and 94 GHz.
  • Keywords
    Mie scattering; Rayleigh scattering; hydrological techniques; rain; Mie scattering algorithm; Rayleigh approximation; rain drop flattening; rain related retrieval; rain scattering function; single drop scattering algorithms; weather radar; Approximation algorithms; Backscatter; Frequency; Meteorological radar; Mie scattering; Radar cross section; Radar scattering; Radio link; Rain; Rayleigh scattering; drop flattening; radar; radio links; rain retrieval; scattering algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423552
  • Filename
    4423552