| 基于模糊逻辑的新一代天气雷达径向干扰回波识别算法 |
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| 引用本文： | 文浩,张乐坚,梁海河,张扬.基于模糊逻辑的新一代天气雷达径向干扰回波识别算法[J].气象学报,2020,78(1):116-127. |
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| 作者姓名： | 文浩 张乐坚 梁海河 张扬 |
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| 作者单位： | 1.中国气象局气象探测中心，北京，100081 |
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| 基金项目： | 国家重点研发计划项目（2018YFC1507502） |
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| 摘 要： | 在雷达信号处理器异常、信号受到外部电磁干扰时，雷达会观测到沿径向分布的条幅状干扰回波，这类非气象回波须在雷达估测降水等定量应用之前消除。为适用体扫数据及正在业务推行的单径向流数据，利用2017年7—8月收集的雷达单站PPI数据，针对径向干扰回波，提出一种基于模糊逻辑的识别方法，该方法只提取径向上的特征参量，建立隶属函数和判定阈值，进行识别。通过对算法的评估和业务应用，结果表明:该算法对径向干扰回波和降水回波的识别和消除效果较好，与原业务算法相比，CSI评分提高0.232，能明显提高径向干扰回波的准确识别，略微降低对降水回波的误消除；算法在业务上能够稳定运行，对于定量化应用（降水估测等）具有正贡献。
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| 关 键 词： | 天气雷达 径向干扰回波 模糊逻辑 |
| 收稿时间： | 2019/6/26 0:00:00 |
| 修稿时间： | 2019/10/8 0:00:00 |
Radial interference echo identification algorithm based on fuzzy logic for weather radar |
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| WEN Hao,ZHANG Lejian,LIANG Haihe and ZHANG Yang.Radial interference echo identification algorithm based on fuzzy logic for weather radar[J].Acta Meteorologica Sinica,2020,78(1):116-127. |
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| Authors: | WEN Hao ZHANG Lejian LIANG Haihe and ZHANG Yang |
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| Institution: | 1.Meteorological Observation Centre of China Meteorological Administration，Beijing 100081，China2.State Key Laboratory of Severe Weather，Chinese Academy of Meteorological Sciences，Beijing 100081，China |
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| Abstract: | When the radar signal processor is abnormal, the signal of radar is subject to external electromagnetic interference, the radar observation will have strip-shaped interference echoes along the radial direction. Such non-meteorological echoes must be identified and eliminated before quantitative applications such as radar precipitation estimation. In this study, a new algorithm for radial interference echo identification is presented based on fuzzy logic. To adapt to the current volumetric data and the upcoming single radial stream data for operational application, the characteristic parameters only on the radial direction are extracted, and the membership functions are established, so that a value that measures the probability of each bin being affected by radial interference echo is get. The algorithm is evaluated and implemented in operational system, and the results show that it can distinguish radial interference echoes from precipitation echoes very well. Compared with the original operational algorithm, the CSI score is improved by 0.232, which can significantly improve the accurate identification of radial interference echoes and slightly reduce the false elimination of precipitation echoes. It has robust operation ability and can make positive contribution to quantitative applications (such as precipitation estimation). |
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| Keywords: | Weather radar Radial interference echo Fuzzy logic |
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