• DocumentCode
    2851140
  • Title

    Rain Retrieval Performance of a Dual-Frequency Radar Technique with Differential Attenuation Constraint

  • Author

    Adhikari, Nanda B. ; Iguchi, Toshio ; Seto, Shinta ; Takahashi, Nobuhiro

  • Author_Institution
    Nat. Inst. of Inf. & Commun. Technol. (NICT), Koganei
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    36
  • Lastpage
    40
  • Abstract
    Assessments on the performance of dual-frequency (13.6/35.5 GHz) precipitation radar (DPR) rain retrieval techniques are performed through simple vertical rain profiles synthesized with arbitrarily defined and disdrometer-measured raindrop size distribution (DSD) data. A DPR inversion technique (DPR-IT) with the estimates of differential attenuation (DA), which used to resolve the path-integrated attenuation (PIA) information instead of relying on surface reference or iterative methods, is considered mainly for the analysis. Preliminary simulation results show that the DPR-IT with DA constraint can work as an independent way to extract the DPR PIA information, hence, the DSD parameters, especially in the regions of moderate to strong rainfall rates.
  • Keywords
    atmospheric electromagnetic wave propagation; atmospheric techniques; geophysical signal processing; hydrological techniques; inverse problems; iterative methods; radar signal processing; radiowave propagation; rain; remote sensing by radar; DPR inversion technique; DPR-IT; PIA; differential attenuation constraint; dual frequency precipitation radar; dual frequency radar technique; frequency 13.6 GHz; frequency 35.5 GHz; iterative methods; path integrated attenuation; rain retrieval performance; raindrop size distribution; synthetic vertical rain profile; Attenuation measurement; Frequency estimation; Frequency measurement; Information retrieval; Iterative methods; Particle measurements; Radar measurements; Rain; Reflectivity; Spaceborne radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.14
  • Filename
    4241161