• DocumentCode
    2205511
  • Title

    Precipitation measurement using a dual Ka-band radar system for GPM/DPR algorithm development

  • Author

    Nishikawa, Masanori ; Nakamura, Kenji ; Minda, Haruya ; Nakagawa, Katsuhiro ; Hanado, Hiroshi ; Kawamura, Seiji ; Sugitani, Shigeo ; Shimizu, Shuji

  • Author_Institution
    Hydrospheric Atmos. Res. Center, Nagoya Univ., Nagoya, Japan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1928
  • Lastpage
    1931
  • Abstract
    A dual Ka-band radar system was developed by the Japan Aerospace Exploration Agency for GPM/DPR algorithm development. The system consists of two identical Ka-band radars. Both the equivalent radar reflectivity factor (Ze) and specific attenuation (k) can be estimated at each range of the path. The estimated k-Ze relations of rain, snow, and the melting layer can be used for the GPM/DPR algorithm development. Those parameters of snow at Ka band are important. Observations using the dual Ka radar system were performed in Okinawa Island, and Nagaoka, Niigata, Japan. In Okinawa Island, rain observation was conducted for confirming the performance of the measurement, and reasonable k-Ze relations of rain were obtained. In Nagaoka, snow observation was conducted. Different k-Ze relations were obtained. This was attributed to the attenuation difference between wet and dry snow.
  • Keywords
    atmospheric measuring apparatus; atmospheric techniques; meteorological radar; rain; remote sensing by radar; snow; GPM-DPR algorithm development; Japan Aerospace Exploration Agency; Nagaoka; Niigata; Okinawa Island; dual Ka-band radar system; equivalent radar reflectivity factor; identical Ka-band radars; k-Ze relations; melting layer; precipitation measurement; rain; snow; specific attenuation; Atmospheric measurements; Attenuation; Radar measurements; Rain; Snow; Spaceborne radar; GPM; Ka radar; rain; snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351126
  • Filename
    6351126