• DocumentCode
    494410
  • Title

    A Study of Drop-Size Distribution in Precipitation Cloud from Wind Profile Radar

  • Author

    Zheng, Ruan ; Xiaolei, Wang

  • Author_Institution
    State Key Lab. of Severe Weather, Chinese Acad. of Meteorol. Sci., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    571
  • Lastpage
    574
  • Abstract
    Author retrieves the raindrop size distribution in precipitation, by separating two distinct return signals from clear-air and from precipitation, based on the return signal spectrum density derived from the wind profile radar, and on the relationship between the terminal velocity and the diameter of descending raindrops. Further retrieval of precipitating cloud data at different heights has resulted in the raindrop size distribution indicating a basic match with the distribution of M-P distribution. The reflectivity value derived from wind profile radar is in agreement with that from Doppler weather radar. Calculating the water content in the clouds at different heights through a raindrop size distribution reveals that is close to the water content observed by the Weather Doppler Radar.
  • Keywords
    Doppler radar; meteorological radar; radar signal processing; rain; Doppler weather radar; M-P distribution; drop-size distribution; precipitating cloud data; precipitation cloud; raindrop size distribution; return signal spectrum density; terminal velocity; water content; weather Doppler radar; wind profile radar; Clouds; Doppler radar; Educational technology; Geoscience and remote sensing; Information retrieval; Laboratories; Meteorological radar; Meteorology; Radar remote sensing; Wind; raindrop size distribution; water content; wind profile radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.127
  • Filename
    5070222