| CINRAD/SAD双偏振雷达非降水回波识别技术 |
| |
| 引用本文： | 张林,李峰,吴蕾,孙康远.CINRAD/SAD双偏振雷达非降水回波识别技术[J].应用气象学报,2022,33(6):724-735. |
| |
| 作者姓名： | 张林 李峰 吴蕾 孙康远 |
| |
| 作者单位： | 1.中国气象局气象探测中心, 北京 100081 |
| |
| 摘 要： | 双偏振雷达观测特征参量（如相关系数、差分反射率等）能有效抑制地物、超折射、电磁干扰、海浪和晴空等非降水回波。在上海南汇WSR-88D双偏振雷达非降水回波识别算法基础上，对我国升级布网且纳入业务运行的CINRAD/SAD双偏振雷达数据进行算法测试、算法模块适应性改进，利用江苏、广东的双偏振雷达观测冰雹、融化层、台风降水及各种杂波个例进行算法检验评估，并在组网拼图中展示质量控制效果。结果表明:总体上算法对非降水回波的识别准确率达到95.2%，降水回波的误判率为2.6%。但对夏秋季节夜晚的大面积晴空回波算法识别准确率低于90%，有待尝试利用深度学习方法改进。
|
| 关 键 词： | 双偏振雷达 非降水回波 质量控制 组网拼图 |
| 收稿时间： | 2022-06-04 |
Non-precipitation Identification Technique for CINRAD/SAD Dual Polarimetric Weather Radar |
| |
| Institution: | 1.Meteorological Observation Center of CMA, Beijing 1000812.Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041 |
| |
| Abstract: | In China, the operational upgrade of dual polarimetric weather radar is being promoted. CINRAD/SAD dual polarimetric weather radar in some provinces such as Guangdong, Jiangsu, Shandong and Zhejiang has been upgraded in operation. By June of 2021, there are 69 dual polarimetric weather radars in national radar network, and it will increase to more than 100 in the future. The dual polarimetric radar is an important detection equipment for studying the microphysical process of precipitation, which can provide multiple polarizations including raindrop spectrum information, and thus better describe the microphysical characteristics of precipitation. The technical upgrade will bring revolutionary changes for data quality control, hydrogel classification and quantitative precipitation estimation. With the measurement parameters such as correlation coefficient or differential reflectivity, the dual-polarimetric weather radar can effectively remove non-precipitation echoes such as ground clutter, anomalous propagation, electromagnetic interference, sea waves, clear air clutter and so on. Based on the non-precipitation identification technique on S-band WSR-88D dual polarization weather radar, the distribution characteristics of correlation coefficient and differential reflectivity in precipitation echo and clutter are analyzed. The CINRAD/SAD dual-polarimetric weather radar data are used to test and improve the algorithm to adapt domestic weather radar, the differential reflectivity texture feature is added in the improved algorithm and the distribution characteristics of differential reflectivity horizontal texture on precipitation echo and clutter are analyzed, to better remove non-precipitation echo. During the evaluation of algorithm, several cases such as hail, melting layer, typhoon and different types of clutters during May-October in 2019 and 2020 are investigated. The results show that the improved algorithm can identify 95.2% of non-precipitation echoes, and the error rate of precipitation is 2.6%. For the large area clear air clutter, after adding the differential reflectivity texture feature, combining with the correlation coefficient texture feature, the accuracy of the algorithm is improved from 68.6% to 96.8% for one case, but the overall accuracy is less than 90% for many cases, and it needs to be improved by deep learning method in the future. Non-precipitation identification algorithm on CINRAD/SAD is applied in mosaic image, showing great application prospect in the future for precipitation classification and quantitative precipitation estimation. It can provide high quality data and play an important role in real-time operation. |
| |
| Keywords: | |
|
| 点击此处可从《应用气象学报》浏览原始摘要信息 |
| 点击此处可从《应用气象学报》下载免费的PDF全文 |
|
