• DocumentCode
    1445292
  • Title

    Applicability of the Iterative Backward Retrieval Method for the GPM Dual-Frequency Precipitation Radar

  • Author

    Seto, Shinta ; Iguchi, Toshio

  • Author_Institution
    Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
  • Volume
    49
  • Issue
    6
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    1827
  • Lastpage
    1838
  • Abstract
    The Dual-frequency Precipitation Radar (DPR) on the core satellite of the Global Precipitation Measurement mission will measure the radar reflectivity factor in the Ku- and Ka-bands. A rain-rate retrieval algorithm that does not require a surface reference was developed (called the MA04 method). However, MA04 cannot give the true solution in some cases of heavy rainfall. MA04 is a simplified version of the iterative backward retrieval method (IBRM), and the IBRM is equivalent to the forward retrieval method with a constraint. The purpose of this study is to clarify the essential conditions under which the IBRM and MA04 can give the true solution (the conditions are referred to as “the applicability” as in the title). For the purpose, DPR measurements are simulated under simplified assumptions. The applicability of the IBRM and MA04 is closely related to the magnitude of internal attenuation. The upper limit of rain rate for which the IBRM can obtain a true solution is 10 to 20 mm · h-1 if the internal attenuation occurs between the top and middle of the target range bin and the vertical resolution is 0.25 km. The upper limit of rain rate for which MA04 can obtain a true solution is dependent on the number of range bins, and it is 24 to 36 mm · h-1 in the case of n = 12. MA04 can apply a wider range of rainfall than the IBRM because MA04 tends to select the solution with the smallest attenuation among possible solutions.
  • Keywords
    atmospheric techniques; rain; remote sensing by radar; GPM dual-frequency precipitation radar; Global Precipitation Measurement mission; Ka band; Ku band; forward retrieval method; internal attenuation; iterative backward retrieval method; radar reflectivity factor; rain-rate retrieval algorithm; vertical resolution; Attenuation; Land surface; Pixel; Radar measurements; Rain; Spaceborne radar; Attenuation; radar; rain;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2010.2102766
  • Filename
    5710414