摘要
随着多普勒天气雷达技术的诞生及其迅速发展,多普勒天气雷达速度场资料在强对流天气系统分析、数值模式资料同化中的应用越来越广泛.但是由于采样的限制,尽管在硬件上已经采用了双PlusRepeatFrequency技术,但多普勒天气雷达能探测的速度范围依然有限,常常在大风区会出现多普勒速度模糊现象.这给资料分析、风场反演和资料同化带了很多的困难,因此解决资料中出现的速度模糊问题已经越来越重要,通过风场分片光滑的性质,提出了区域生长法在多普勒天气雷达速度场分析中解决速度模糊现象的技术.最后以目前全国布网的CINRADSA型多普勒天气雷达探测资料为主,进行了大量的试验,结果证明该方法能较好的退出多普勒速度场中的速度模糊现象.
With the appearance and quick development of Doppler radar techniques, the velocity field of Doppler has been widely applied in strong convection weather system, numerical simulation and data assimilation. Because of the limitation of samples, the available range of Doppler velocity field is still finite though using the Plus Repeat Frequency method, and velocity dealiase often presents in gale region. This has made much difficulties to its use. Based on the character of smoothing wind field in pieces, region growing method is here put forward to solve the problem. The data sets from CINRAD SA Doppler Weather Radar located in China are mainly testified, and the results show that the method can better resolve the velocity dealiase.
出处
《南京大学学报(自然科学版)》
CAS
CSCD
北大核心
2007年第1期102-110,共9页
Journal of Nanjing University(Natural Science)
基金
国家自然科学基金(49794030)
关键词
速度折叠
分片光滑
区域生长法
内点
外点
dealiasing of Doppler velocities, smooth in pieces, region growing inner points, extra points