利用雷达回波自动识别锋线的方法  

Automatic Identification of Cold Front Based on Radar Echo Features

作　　者：王珊珊[1] 黄兴友[1] 苏磊[2] 金宏忆[1] 刘伟[1] 顾松山[1] 

机构地区：[1]南京信息工程大学遥感学院,江苏南京210044 [2]武汉中心气象台,湖北武汉430074

出　　处：《南京气象学院学报》2008年第4期563-573,共11页Journal of Nanjing Institute of Meteorology

基　　金：国家自然科学基金资助项目(40275010)

摘　　要：运用Matlab软件对冷锋过境的多普勒雷达径向速度进行模拟,运用合成切变估算方法,采用多普勒雷达获取的速度基数据资料,探讨了自动识别锋线的判据,并以动态链接库的方式进行了多普勒雷达锋线自动识别模块的工程设计。对2002年5月13日湖南省入汛后首场大范围暴雨过程进行自动识别处理,对比模拟结果表明该模块对此次过程中的锋线有较好的识别能力。Matlab was used to simulate the typical radar＇s radial velocity field when a cold front passes an observing radar. Doppler radar base velocity data were processed using the combined shear estimation algorithm to identify the characteristic structures of the cold front wind field, and the thresholds for automatic identification of cold front were investigated. A module for cold front identification was designed. The radar observations of the large scale heavy rain on 13th May 2002 in Hunan Province were processed, and the result suggests that the module had a fairy good ability to identify the cold front system.

关 键 词：合成切变 冷锋 笛卡尔网格 

分 类 号：P412.25[天文地球—大气科学及气象学]