基于MVAD技术的多普勒雷达径向速度退模糊方法的改进研究

张少波; 陆汉城; 张鹏; 康建伟

基于MVAD技术的多普勒雷达径向速度退模糊方法的改进研究

解放军理工大学气象学院, 江苏, 南京, 211101

基金项目: 国家自然科学基金资助项目(40575022);国家重点基础研究专项(2004CB418300)资助

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出版历程
- 收稿日期: 2006-04-16
- 修回日期: 2006-11-26

THE IMPROVEMENT OF DEALIASING METHOD FOR DOPPLER VELOCITY DATA BASED ON MVAD

Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China

摘要

摘要: 对Gong(2003)提出的基于Modified VAD技术的多普勒雷达径向速度退模糊方法进行了改进。原方法从各高度上径向风速的方位梯度信息中估计水平风廓线的分布,在使用各高度参考风进行一次退模糊的基础上,进行连续性检验完成整个退模糊过程。使用参考风进行退模糊能在很大程度上提高退模糊的效率。但是由于中小尺度系统的扰动和复杂的采样覆盖的影响,一般很难获得比较准确的估计水平风速,这将对进一步的退模糊过程产生很大的影响。针对这个问题,在水平风估计过程增加了质量控制参数,使其能够更好地估计水平风。此外,还对原方法中的几项参数的选择进行了讨论和调整。通过对两个个例的退模糊试验,检验了改进后方法的效果。
- 退模糊 /
- MVAD方法 /
- VAD方法 /
- 参考风
Abstract: This paper improved the method offered by Gong(2003) for dealiasing Doppler Velocity Data based on MVAD(Modified Velocity-Azimuth Display).This method using MVAD estimates the horizontal wind directly from the data contaminated by aliasing on each height,using the wind profile as conference a quick dealiasing can be conducted,The rest contaminated data are dealiased by continuity check.The conference wind gained by The MVAD technology solve the dealiasing start point problem well,but if the real wind field is interfered by meso-or mini-scale system,or on the conditions of complicated sample coverage,it is hard to precisely estimated horizontal wind,this will influence the dealiasing result.Point to this problem this paper introduced the quality control parameter,this parameter can help to solve that problem.Furthermore,some parameter in the method are discussed and adjusted in this paper.And the improved method are checked by dealiasing two real radar data.
- dealiasing /
- MVAD /
- VAD /
- conference wind

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参考文献(9)

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