| 降水现象仪观测应用评估 |
| |
| 引用本文： | 杜传耀,尹佳莉,李林,伍永学,姜涛.降水现象仪观测应用评估[J].气象,2019,45(5):730-737. |
| |
| 作者姓名： | 杜传耀 尹佳莉 李林 伍永学 姜涛 |
| |
| 作者单位： | 北京市气象探测中心，北京 100176；中国气象局北京城市气象研究院，北京 100089,北京市气象探测中心，北京 100176,北京市气象探测中心，北京 100176；中国气象局北京城市气象研究院，北京 100089,北京市气象探测中心，北京 100176,北京市气象探测中心，北京 100176 |
| |
| 基金项目： | 国家重点研发计划(2018YFC1506801)资助 |
| |
| 摘 要： | 利用2017年9月至2018年8月北京20个站降水现象仪采集数据与人工平行观测数据,对降水现象仪进行了对比评估。结果表明:降水现象仪的缺测率为0.01%,空报率为0.6%,捕获率为93.5%,漏报率为27.9%,错报率为10.0%。从统计结果可知,降水现象仪的缺测率、空报率较低,捕获率较高,体现出设备性能良好的一面,漏报率和错报率偏高,表明设备漏识别和错误识别的情况较多,漏报主要发生在弱降水过程中,错报主要出现在毛毛雨的识别上。设备测量和人工观测降水开始时间一致性较好,终止时间一致性偏差;降水现象仪现存问题:在大雨强时易出现雨滴叠加误识别,在小雨强时识别率会降低,在无降水错误输出降水现象方面缺少质控。
|
| 关 键 词： | 降水现象仪，雨滴谱，完整性，准确性，一致性，对比评估 |
| 收稿时间： | 2018/4/29 0:00:00 |
| 修稿时间： | 2019/2/1 0:00:00 |
Application Evaluation of Precipitation Phenomenon Instrument Observation |
| |
| DU Chuanyao,YIN Jiali,LI Lin,WU Yongxue and Jiang Tao.Application Evaluation of Precipitation Phenomenon Instrument Observation[J].Meteorological Monthly,2019,45(5):730-737. |
| |
| Authors: | DU Chuanyao YIN Jiali LI Lin WU Yongxue and Jiang Tao |
| |
| Abstract: | In this paper, data acquired by artificial observation and precipitation phenomena observation instruments at 20 observation stations of Beijing from September 2017 to Augusta 2018 are used to compare and assess the precipitation phenomena observation instruments. The results show that the lack of mea surement rate of precipitation phenomenon instrument is 0.01%, false prediction rate is 0.6%, the capture rate is 93.5%, the missing report rate is 27.9%, and misreporting rate is 10.0%. From the above statistical parameters, we can see that the lack of measurement rate and false prediction rate of the instruments are low and precipitation phenomena capture rate is high, which shows the good performance of the instruments. The missing report rate and misreporting rate are high, indicating missing and misidentification casetend to happen frequently. Missing report mainly happens in the process of light precipitation and the misreporting mainly in the process of drizzle identification. The time consistency of distinguishing the beginning of precipitation processes is better, but poor at the ending time. The existing problems of the instruments are that raindrop overlap misidentification is easy to appear during heavy precipitation, and the identification rate is reduced during light precipitation. The quality control process is lacking in the case of wrong outputs of precipitation when no precipitation is seen. |
| |
| Keywords: | precipitation phenomena meters raindrop size distribution integrity accuracy consistency comparative evaluation |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《气象》浏览原始摘要信息 |
| 点击此处可从《气象》下载免费的PDF全文 |
|
