基于自适应阈值的云团识别与追踪方法及个例试验

Method for Identifying and Tracking Cloud Clusters Based on Adaptive Threshold Temperature and a Case Study

利用FY-2系列静止气象卫星的IR1通道资料,开展对快速发展云团的识别与追踪研究。通过建立自适应亮温阈值的云团识别方法,获取云团的发生、发展、消亡的完整生命过程;基于两个连续红外图像的面积重叠法,处理云团追踪过程中的分裂和合并现象;提取有关云团的温度阈值、面积大小、移动速度、亮度温度、温度梯度等特征量,为开展云团演变的研究提供分析依据。对2009年6月发生在河南、安徽等地飑线过程做了云团识别与追踪试验,并进行了分析,得到该过程较为完整的生命史演变特征。

Using the infrared channel images detected by the FY-2 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.