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一种抗噪声的天气雷达速度退模糊新算法
引用本文:楚志刚,银燕,顾松山.一种抗噪声的天气雷达速度退模糊新算法[J].气象学报,2013,71(4):743-753.
作者姓名:楚志刚  银燕  顾松山
作者单位:南京信息工程大学,气象灾害教育部重点实验室;南京信息工程大学,中国气象局气溶胶与云降水重点开放实验室
基金项目:公益性行业(气象)科研专项(GYHY201106044);国家自然科学基金项目(40975037);江苏高校优势学科建设工程资助项目(PAPD)
摘    要:径向速度模糊是影响多普勒天气雷达资料质量的一个重要因素。针对模糊的问题,提出了一种抗噪声的速度退模糊新算法:基于速度场的空间连续性,采用无损的连续噪声抑制方案,由噪声分离、曲线拟合退模糊和噪声恢复3个步骤组成。用CINRAD-SA雷达4站3a的全部模糊数据(>40000个体扫文件)进行验证,结果表明:(1)抗噪声的速度退模糊新算法明显优于WSR-88D退模糊算法,正确率比其高30%;(2)以体扫文件为单位的退模糊正确率为89.4%,其中,台风、强对流和弱对流的退模糊正确率达92.9%。

关 键 词:天气雷达  径向速度  速度退模糊  噪声抑制  质量控制
收稿时间:2012/11/29 0:00:00
修稿时间:4/7/2013 12:00:00 AM

A new anti-noise dealiasing algorithm for weather radar velocities
CHU Zhigang,YIN Yan and GU Songshan.A new anti-noise dealiasing algorithm for weather radar velocities[J].Acta Meteorologica Sinica,2013,71(4):743-753.
Authors:CHU Zhigang  YIN Yan and GU Songshan
Institution:CHU Zhigang;YIN Yan;GU Songshan;Key Laboratory of Meteorological Disaster of Ministry of Education,Nanjing University of Information Science &Technology;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University ofInformation Science & Technology;
Abstract:Velocity aliasing is an important factor affecting the data quality of Doppler weather radar.A new anti-noise dcaliasing algorithm(AND) was proposed to solve the ambiguity.Based on the spatial continuity, the AND utilizes a lossless continuous noise suppression scheme.It consists of three steps: noise separation,fitting-curve dcaliasing, and noise restoration.Validation by 4 CINRAD-SA stations ×3 years of full ambiguous volume files (>40000) shows that:(1)AND was better than the WSR-88D dcaliasing algorithm.It had a correct rate 30% higher than that by the WSR-88D dcaliasing algorithm;(2) the correct rate of full ambiguous volume files were 89.4%,with the correct rate for typhoon,strong convection and weak convcction reached 92.9%.
Keywords:Weather radar  Radial velocity  Velocity dcaliasing  Noise suppression  Quality control
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