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%。
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%.
出处
《气象学报》
CAS
CSCD
北大核心
2013年第4期743-753,共11页
Acta Meteorologica Sinica
基金
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)
关键词
天气雷达
径向速度
速度退模糊
噪声抑制
质量控制
Weather radar, Radial velocity, Velocity dealiasing, Noise suppression, Quality control
