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天气雷达反射率基数据质量控制的几种算法
引用本文:陈媛,陈江民,毛紫阳,黄小玉,刘剑科,张继光.天气雷达反射率基数据质量控制的几种算法[J].气象与减灾研究,2007,30(3):48-51.
作者姓名:陈媛  陈江民  毛紫阳  黄小玉  刘剑科  张继光
作者单位:1. 湖南省气象局,湖南,长沙,410007
2. 国防科学技术大学,湖南,长沙,410039
摘    要:回顾了国内外针对基数据质量自动控制技术的研究进展;详细介绍了基于模糊逻辑的雷达回波分类算法、基于水平和垂直反射率结构的质量控制算法、基于神经网络的天气雷达数据质量控制方法的设计思想、计算步骤和适用范围,并对3种算法的优缺点进行了比较;最后对质量控制技术的发展作了展望。结果认为,基于水平和垂直反射率结构的质量控制算法可以有效地识别地物杂波,算法相对简单且效率较高,适合业务使用。

关 键 词:天气雷达  反射率基数据  质量控制  算法
文章编号:1007-9033(2007)02-0048-04
修稿时间:2007-04-18

Algorithms on Quality Control of Weather Radar Reflectivity Base-Data
CHEN Yuan,CHEN Jiang-min,MAO Zi-yang,HUANG Xiao-yu,LIU Jian-ke,ZHANG Ji-guang.Algorithms on Quality Control of Weather Radar Reflectivity Base-Data[J].Meteorology and Disaster Reduction Research,2007,30(3):48-51.
Authors:CHEN Yuan  CHEN Jiang-min  MAO Zi-yang  HUANG Xiao-yu  LIU Jian-ke  ZHANG Ji-guang
Institution:1. Hunan Meteorological Bureau, Changsha 410007, China; 2. National University of Defense Technology, Changsha 410073, China
Abstract:In this paper,the research progress on domestic and oversea radar base-data Quality Control(QC) technology is reviewed.Three algorithms,the radar echo classifying method based on fuzzy-logic,the QC algorithm based on reflectivity structure and the radar base-data QC algorithm based on neural network are introduced and compared on their design ideology,calculating process and applicability.And the future development of QC technology is also expected.The results show that the QC algorithm based on reflectivity structure can recognize ground clutters efficiently and simply,and it is recommended to be applied in operation.
Keywords:Weather radar  Reflectivity base-data  Quality control(QC)  Algorithm  
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