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基于自适应阈值的云团识别与追踪方法及个例试验
引用本文:蔡叔梅,阮征,陈钟荣.基于自适应阈值的云团识别与追踪方法及个例试验[J].气象科技,2011,39(3):332-338.
作者姓名:蔡叔梅  阮征  陈钟荣
作者单位:1. 南京信息工程大学,南京,210044
2. 中国气象科学研究院,北京,100081
基金项目:公益性行业(气象)科研专项“中尺度对流性天气诊断分析方法研究”(GYHY200906003)资助
摘    要: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...

关 键 词:云团  识别  追踪  强对流
收稿时间:2010/1/29 0:00:00
修稿时间:2010/5/31 0:00:00

Method for Identifying and Tracking Cloud Clusters Based on Adaptive Threshold Temperature and a Case Study
Cai Shumei,Ruan Zheng and Chen Zhongrong.Method for Identifying and Tracking Cloud Clusters Based on Adaptive Threshold Temperature and a Case Study[J].Meteorological Science and Technology,2011,39(3):332-338.
Authors:Cai Shumei  Ruan Zheng and Chen Zhongrong
Institution:Cai Shumei1 Ruan Zheng2 Chen Zhongrong1(1 Nanjing University of Information Science and Technology,Nanjing 210044,2 Chinese Academy of Meteorological Sciences,Beijing 100081)
Abstract: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,t...
Keywords:cloud cluster  identification  tracking  strong convection
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