• DocumentCode
    504347
  • Title

    Z - R relation for snowfall using small Doppler radar and high sensitive snow gauges

  • Author

    Kubo, M. ; Sougen, A. ; Muramoto, K. ; Fujiyoshi, Y.

  • Author_Institution
    Grad. Sch. of Natural Sci. & Technol., Kanazawa Univ., Kanazawa, Japan
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    5439
  • Lastpage
    5444
  • Abstract
    Snowfall data was simultaneously recorded by a weather radar, two high sensitive snow gauges and an imaging system with high accuracy at short time intervals. The snowfall rate R was measured with two gauges and radar reflectivity factor Z was measured using a small bistatic X-band Doppler radar. The images of falling snow particles were used to obtain size and related parameters. Since all the measurements were located in a small area, it can be said that the obtained reference data corresponds well to radar data, and it is possible to analyze snowfall rate variations in sufficient detail for practical purposes. Snowfall was observed in Kanazawa, Japan, in the winter of 2009. A total of 22 snowfall events was extracted for type of snowflake or graupel, varying in duration from 4 to 31 minutes. These were then treated separately to calculate the coefficients of Z - R relation. The observations suggest that parameters of snow particle properties are useful to understand radar measurement.
  • Keywords
    Doppler radar; gauges; meteorological radar; snow; Japan; Kanazawa; Z - R relation; bistatic X-band Doppler radar; high sensitive snow gauges; radar measurement; radar reflectivity factor; small Doppler radar; snowfall data; weather radar; Area measurement; Data mining; Doppler radar; Meteorological radar; Radar imaging; Radar measurements; Rayleigh scattering; Reflectivity; Snow; Temperature sensors; Z - R relation; high temporal resolution; radar; size distribution; snowfall; snowfall rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5333208