• DocumentCode
    2464958
  • Title

    The dual beam airborne technique as a tool for validation of the TRMM rain radar retrieval

  • Author

    Testud, Jacques ; Oury, Stéphane

  • Author_Institution
    Centre d´´Etudes des Environ. Terrestre et Planetaires, Velizy, France
  • Volume
    4
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    1651
  • Abstract
    TRMM will be the first space observation platform with a precipitation radar (PR) on board. A key issue in the data processing of the PR is the correction for attenuation. In the standard algorithm, this correction is made using a K-Z power law relationship as K=a Zb where a is adjusted using the ocean surface as a reference target. This paper argues that a dual beam airborne Doppler radar as ELDORA-ASTRAIA should be of great interest in the validation of TRMM. Attenuated reflectivities sampled from two viewing angles may be processed following the “stereoradar analysis”, or the new “dual beam algorithm” (proposed in this paper) to derive the unattenuated reflectivity Z, specific attenuation K, rainfall rate R, and the associated K-Z relationship at the ELDORA-ASTRAIA frequency (9.3 GHz). All this information greatly useful to validate TRMM is obtained with the flexibility of an airborne platform
  • Keywords
    atmospheric techniques; calibration; meteorological radar; rain; remote sensing by radar; spaceborne radar; ELDORA-ASTRAIA; K-Z power law relationship; TRMM; airborne radar; algorithm; atmosphere; attenuation correction; dual beam airborne technique; dual beam algorithm; measurement method; meteorological radar; precipitation radar; radar remote sensing; rain radar retrieval; rain rate; rainfall; spaceborne radar; stereoradar analysis; validation; Airborne radar; Attenuation; Frequency; Meteorological radar; Radar antennas; Rain; Reflectivity; Sampling methods; Spaceborne radar; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.609007
  • Filename
    609007