Validation and Evaluation of Cloud Amount by Geostationary Satellite Data from 1995 to 2010
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Abstract:
Using the China surface climate data and the monthly mean data of ISCCP (International Satellite Cloud Climatology Project) D2, EAGSCDR (FY2 and GMS geostationary satellite climate data record over East Asia) are validated and evaluated. The distributions of annual mean total cloud amounts from the three kinds of data are analyzed and compared, and the results show that all the distributive patterns of cloud amounts agree well; however, total cloud amounts from ISCCP and geostationary satellite climate data sets are higher than station observations in the north of 40°N. Furthermore, it is indicated that about 8210% cloud detection product samples of EAGSCDR agree with surface observations, and the overall missing detected rate and false detected rate is 685% and 1105% respectively over South China and the Yangtze River basin; the accuracy of fall and winter is lower. The cloud amounts of EAGSCDR and ISCCP both are obtained from satellite data, and their major differences come from different algorithms. The analysis shows that the cloud product precision of EAGSCDR is higher than that of ISCCP, and the time resolution can reach 1 hour, and the spatial resolution is up to 5 km. The cloud products of EAGSCDR have advantages over ISCCP.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.