JIANG Qiu-fei,WANG Xu,HE Jian-xin,et al.Identification of Weather Radar Shielding Region[J].Journal of Chengdu University of Information Technology,2017,(05):469-473.[doi:10.16836/j.cnki.jcuit.2017.05.001]
天气雷达遮挡区域识别
- Title:
- Identification of Weather Radar Shielding Region
- 文章编号:
- 2096-1618(2017)05-0469-05
- 分类号:
- TN959.4
- 文献标志码:
- A
- 摘要:
- 遮挡是天气雷达波束受到复杂地形影响的结果,低仰角时,天气雷达波束常常会受到地形或者周围高大建筑物遮挡,导致天气雷达的探测数据质量受到严重影响,同时也会影响到雷达组网拼图和其他二次产品的数据质量。为识别遮挡区域,直接利用天气雷达连续观测的反射率因子,根据观测数据的概率特征,识别天气雷达遮挡区域性质。资料选取2010年5-12月柳州雷达观测数据,首先读取柳州雷达站这段时间内体扫基数据中的反射率因子数据; 再统计这段时间内每个距离库上的反射率因子大于某一阈值的概率; 最后根据统计结果,分析回波的概率特征,选取合适的概率阈值,得到不同性质的遮挡区域(完全遮挡、部分遮挡或无遮挡)。使用该方法识别遮挡区域的实例表明:对海拔高度较低的内陆雷达(如广西柳州),该方法能较有效地识别天气雷达遮挡区域。
- Abstract:
- Shielding is the result of weather radars beam under the influence of complex topography, with low elevation, the weather radar beam is often blocked by terrain and tall surrounding buildings, so that it seriously affects data quality of weather radar detection, and also affects the data quality of multi-radar mosaic and other second products. To identify shielding region, this paper uses continuous operational weather radar reflectivity directly, according to the features of observation data, it can identify the weather radar shielding area. The Information selects the observation data during the period between May and December in 2010 at Liuzhou, this article firstly read reflectivity data during a period of time; secondly, does statistics work to count the probability about reflectivity which exceeds a threshold within each range bin; in addition, with the statistics results, and to analysis the features of echo probability; then to select adequate probability threshold; finally, to get the different natures of shielding region(completely shielding, partial shielding or no shielding). Examples of using the approach to identify the blocked area show that: for the lower-altitude Inland radars(such as Liuzhou, Guangxi), the approach can effectively identify weather radar shielding area.
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备注/Memo
收稿日期:2017-07-07 基金项目:四川省教育厅科技成果转化重大培育资助项目(15CZ0020)