SWAN系统中雷达反射率因子质量控制算法及其应用

Design and Application of Radar Reflectivity Quality Control Algorithm in SWAN

介绍了SWAN系统中雷达反射率因子质量控制算法原理,包括数据预处理、孤立噪声回波过滤、超折射回波抑制3部分。数据预处理将原始雷达资料转换为统一的RD20格式,并检测数据质量。孤立噪声回波过滤包括双向搜索、回波特征量过滤法。超折射(Anomalous Propagation,AP)回波抑制采用模糊逻辑原理。介绍算法配置参数,通过对比分析武汉、随州、西安雷达AP识别因子概率分布图可知,三者是类似的,表明默认参数的适用性。评估表明,该方法可过滤掉大部分AP回波,缺点是未能识别部分远距离AP回波以及错误识别部分降水回波。

The reflectivity quality control algorithm in SWAN is described, including data preprocessing, isolating noise echo filtering, and AP echo suppression. Data preprocessing converts raw radar data to RD20 format and checks data quality. Isolating noise echo filtering includes bi-directional searching and echo feature filtering. AP echo suppression uses the fuzzy logic method. The parameters of the algorithm are described. As the probability distributions of AP features from Wuhan, Suizhou, Xian radar are similar, it is concluded that the default parameters can be applied in more than one radar site. The evaluation of the algorithm shows that the most AP echoes can be suppressed; meanwhile some AP far away from radar cannot be suppressed; and some rainfall echoes are wrongly identified as AP.