• DocumentCode
    144036
  • Title

    Precipitation rate estimation analysis for GPM-DPR pre-launch algorithm

  • Author

    Chandrasekar, V. ; Le, Minda

  • Author_Institution
    Colorado State Univ., Fort Collins, CO, USA
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4119
  • Lastpage
    4122
  • Abstract
    The dual-frequency precipitation radar (DPR) on board the GPM (Global Precipitation Measurement) core satellite is equipped with two independent frequency channels, Ku- (13.6 GHz) and Ka- (35.5 GHz) band. This enables better retrieval of the DSD parameter and better accuracies in rainfall rate estimation than TRMM (Tropical Rainfall Measuring Mission) precipitation radar (PR). Le and Chandrasekar (2013) [1] developed a hybrid method to retrieve DSDs for GPM-DPR using airborne radar data. In this paper, precipitation rate is calculated using DSDs retrieved through the hybrid method based on assumptions of particle falling velocity. We also investigate potential relations between precipitation rate and dual-frequency parameters through direct parameterization. This analysis first goes through simulation procedure, and then applied to airborne data with attenuation corrected using method in [1]. Reasonable comparison of precipitation rate can be seen in between true precipitation rate, evaluation through DSDs and from direct parameterization.
  • Keywords
    airborne radar; atmospheric techniques; meteorological radar; rain; DSD parameter; GPM-DPR prelaunch algorithm; Ka-band; Ku-band; TRMM; airborne radar data; direct parameterization; dual-frequency parameters; dual-frequency precipitation radar; global precipitation measurement; particle falling velocity; precipitation rate estimation analysis; tropical rainfall measuring mission; Airborne radar; Attenuation; Estimation; Rain; Reflectivity; Spaceborne radar; DPR; DSDs; GPM; Parameterization; Precipitation rate estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947393
  • Filename
    6947393