山西地区降水现象仪平行观测评估  

Evaluation of parallel observation by precipitation instrument in Shanxi

作　　者：葛黎黎 郭栋 李亚军[1] 卫倩倩 Ge Lili;Guo Dong;Li Yajun;Wei Qianqian(Shanxi Meteorological Information Center,Taiyuan 030006;Shanxi Meteorological Service Center,Taiyuan 030002)

机构地区：[1]山西省气象信息中心,太原030006 [2]山西省气象服务中心,太原030002

出　　处：《气象水文海洋仪器》2023年第2期41-43,46,共4页Meteorological,Hydrological and Marine Instruments

基　　金：山西省气象局2019年面上项目“山西省降水现象仪平行观测评估”(SXKMSTC20195613)资助。

摘　　要：文章选取2017-12/2018-11山西地区48个国家气象站降水现象仪自动观测数据和人工观测记录,从数据准确性和一致性角度进行分析评估。结果表明:各类降水现象捕获率、一致率随雨强增大呈增高趋势,漏报率随雨强增大呈降低趋势;雨和雪现象捕获率较高,毛毛雨漏报率最高,雨易错判为毛毛雨,雨夹雪与雪的相互错判较多。降水现象识别算法需继续优化,建议结合温度、湿度、能见度等相关要素进行综合判断。This paper selects the automatic observation data from precipitation instruments of 48 national meteorological stations in Shanxi as well as manual observation records for the time period from December 2017 to November 2018,and makes them analyzed and evaluated from the perspectives of data accuracy and consistency.It can be concluded that the capture rate and consistency rate of various precipitation phenomena show an increasing trend along with the increase of rainfall intensity and the rate of missing report shows a decreasing trend along with the increase of rainfall intensity.The capture rate of rain and snow phenomena is relatively higher and the underreporting rate of drizzle is highest.The rain is prone to be wrongly judged to be drizzle and more wrong judgment will occur between sleet and snow.The precipitation phenomenon recognition algorithm needs to be optimized continuously and a comprehensive judgment is suggested to be done by integrating temperature,humidity,visibility and other relevant factors.

关 键 词：降水现象仪 自动观测 人工观测 分析评估 

分 类 号：P416.2[天文地球—大气科学及气象学]