Identification and Tracking of Convective Cloud Clusters Based on Satellite and Radar Data
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Abstract:
The identification and tracking of convective clouds and the 3hours rainfall forecasting are discussed by using the multithreshold, area overlapping, and statistical method, based on various weather data, including the data from FY meteorological satellite, weather radar and automatic meteorological stations. On the basis of this analysis, we established the operational software system of monitoring and forecasting convective clouds based on satellite data. In order to test the reliability of the software system, we choose 4 typical convective weather processes for trial operation. The results show that the software system can track the occurring and development of convective clouds accurately, and the precipitation regions of convective clouds were consistent with the ground precipitation observation. The forecasting index of maximum precipitation for convective clouds performed well with an accuracy of 61 %, a vacancy rate of 33 %, and a miss rate of 6%, which indicates that the findings can be used for monitoring and forecasting convective clouds in Fujian Province.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.