线状中尺度对流系统自动识别  

Automatic Identification of Linear Mesoscale Convective Systems

作　　者：周宁 杨吉[1,2] 刘善峰 苑司坤[1,2] Zhou Ning;Yang Ji;Liu Shanfeng;Yuan Sikun(State Grid Henan Electric Power Research Institute,Zhengzhou 450052;State Key Lab.of Severe Weather Chinese Academy of Meteorological.Sciences,Beijing 100081)

机构地区：[1]河南省电力公司电力科学研究院,郑州450052 [2]中国气象科学研究院灾害天气国家重点实验室,北京100081

出　　处：《气象科技》2018年第3期568-574,共7页Meteorological Science and Technology

基　　金：国家电网公司重大基础前瞻科技项目(SG20141187);灾害天气国家重点实验室开放课题(2014LASW-B01);江苏省社会发展项目(BE2015731)共同资助

摘　　要：在使用动态模板法识别中尺度对流系统(Mesoscale Convective System,MCS)的算法中引入风暴单体识别跟踪算法(Strom Cell Identification and Tracking,SCIT),实现对MCS内部对流单体的定位,进一步计算出MCS的长宽比。利用该方法对20个多种类型中尺度天气过程进行处理,在选取不同识别阈值情况下对比评估动态模板法。结果表明:(1)动态模板函数、由SCIT得到的平均距离长宽比Wave和最大距离长宽比Wmax均能表征MCS长宽比,且在不同阈值情况下有较好的相关性;(2)动态模板函数与Wave和Wmax变化不一致的时刻是由于质心代表性不足和风暴单体较少引起的趋势变化波动较大造成;(3)综合分析结果表明动态模板函数法识别结果稳定可靠,与实际情况较为一致。The SCIT（Strom Cell Identification and Tracking）algorithm is introduced by means of the dynamic template function method for automatically identifying the linear MCS to locate storm cells,further to calculate RLW（Ratio of Length to Width）of MCS.The method is used in more than 20 different types of convections cases with different thresholds.The results demonstrate that the dynamic template function,average RLW and maximum RLW from SCIT can present the linear status of MCS,which are well correlated in the case of different thresholds.The inconsistency is resulted from that the centroid has not enough representativeness and much less storms cells to cause large fluctuation in average RLW and maximum RLW.Comprehensive analysis results show that the dynamic template function method is more stable and reliable,and coincident with the actual situation.

关 键 词：线状中尺度对流系统 识别 动态模板 

分 类 号：P412[天文地球—大气科学及气象学]