XIAN Lin,ZHOU Ye,GAO Xia,et al.Research on Wind Shear Recognition based on Weather Radar[J].Journal of Chengdu University of Information Technology,2023,38(01):6-12.[doi:10.16836/j.cnki.jcuit.2023.01.002]
基于天气雷达的风切变识别研究
- Title:
- Research on Wind Shear Recognition based on Weather Radar
- 文章编号:
- 2096-1618(2023)01-0006-07
- Keywords:
- wind shear identification; least squares method; Doppler weather radar; K-neighborhood frequency method
- 分类号:
- TN959.4
- 文献标志码:
- A
- 摘要:
- 风切变是影响航空飞行和着陆安全的重要因素,为提升风切变的识别效果,首先利用“K-邻域频数”法对天气雷达数据进行质量控制,并针对不同的距离库讨论窗口尺寸对数据结果的影响。结果表明,采用多种窗口的质量控制能有效剔除噪声数据,并充分填补缺测点和缺测区域。其次对最小二乘法的识别区域进行改进,在雷达覆盖范围内各区域均有良好表现。使用直接差值滤波法和改进最小二乘法对阜阳地区的一次龙卷过程实例进行风切变的识别研究,对比两种方法的识别结果发现,在距雷达中心10 km内的区域,最小二乘法有较低的误识别率; 在距雷达较远区域,该方法亦能精准识别风切变现象发生。
- Abstract:
- Wind shear is an important factor affecting aviation flight and landing safety. In order to improve the identification effect of wind shear, the “K-neighborhood frequency” method is used to control the quality of weather radar data. This paper discusses the effect of window size on the data results for different distance libraries. The results show that the quality control using multiple windows can effectively eliminate the noise data and fully fill the missing points and areas. Secondly, the recognition area of the least square method is improved, and it has a good performance in each area of the radar coverage. The direct difference filtering method and the improved least square method are used to identify the wind shear of an example of a tornado process in Fuyang area. Compared with the recognition results of the two methods, it is found that the least square method has a lower error recognition rate in the area within the 10 km of the center of the radar, and the method can also accurately identify the occurrence of wind shear in the area far away from the radar.
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备注/Memo
收稿日期:2022-05-11
基金项目:国家自然科学基金资助项目(U1733103)