红外与毫米波学报2011，Vol.30Issue(4)：322-327,6.
风云二号静止气象卫星的云相态识别算法
Cloud phase detection algorithm for geostationary satellite data
摘要
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 ther-modynamic 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 citrus. 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 cyclone.关键词
云/相态/静止气象卫星Key words
cloud/ thermodynamic phase/ geostationary satellite分类
大气科学引用本文复制引用
刘健,李云..风云二号静止气象卫星的云相态识别算法[J].红外与毫米波学报,2011,30(4):322-327,6.基金项目
国家863计划(2009AA12Z150) （2009AA12Z150）
公益性行业(气象)科研专项(GY HY200906002) （气象）
