Cloud phase detection algorithm for geostationary satellite data
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    Abstract:

    FengYun-2 geostationary spectral data consists of 5 channels that locate at visible, near infrared, water vapor and far infrared wavelength. Among these channels, the reflectance of near infrared bands at daytime is the function of cloud particle’s size and thermodynamic phase. The paper proposes a grouped detection method to identify cloud particle’s thermodynamic phase by reflectance of visible, near infrared bands, and brightness temperature of infrared bands. The identified cloud phase was compared with CloudSat products. The example analysis indicated that two kinds of data regarding consistent rate are higher than 97% for high layer ice cloud, including deep convection and cirrus. For low water clouds, the consistency of two kinds of data got 94.98%. It can clearly show the cloud system structure of tropical cyclone, including central convection cloud area, cirrus around and outside water cloud when using cloud thermodynamic phase identified method analysis the cloud properties of tropical cyclon.

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LIU Jian, LI Yu. Cloud phase detection algorithm for geostationary satellite data[J]. Journal of Infrared and Millimeter Waves,2011,30(4):322~327

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History
  • Received:May 18,2010
  • Revised:September 28,2010
  • Adopted:June 23,2010
  • Online: August 25,2011
  • Published:
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