Method for Identifying and Tracking Cloud Clusters Based on Adaptive Threshold Temperature and a Case Study
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Abstract:
Using the infrared channel images detected by the FY2 meteorological satellite, the research on the detecting and tracking of cloud systems is conducted. The whole life cycle, including forming, developing， and dissipating, are studied based on the method of adaptive threshold temperature. The splitting and merging of cloud systems are tackled based on the geographical overlapping of two consecutive infrared images, and some characteristic quantities such as threshold temperature, area, moving velocity, temperature, temperature gradient and so on are extracted, in order to analyze the cloud evolution. An experiment on the identifying and tracking of the squall process occurred on June 2009 in Henan and Anhui is carried out and the evolutionary characteristics of the cloud systems during the whole life cycle are analyzed.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.