2005-2019年自动站与人工站风资料对比分析  

Comparative Analysis of Wind Data of Automatic Station and Artificial Station from 2005 to 2019

作　　者：于宛男 张俊茹 孙晓宇 王旭 YU Wannan;ZHANG Junru;SUN Xiaoyu;WANG Xu(Lvyuan Meteorological Bureau,Changchun 130061,China;Changchun Meteorological Information Tech-nology Support Center,Changchun 130061,China;Jilin Meteorological observation Support Center,Chang-chun 130062,China)

机构地区：[1]绿园区气象局,吉林长春130061 [2]长春市气象信息技术保障中心,吉林长春130061 [3]吉林省气象探测保障中心,吉林长春130062

出　　处：《河南科技》2023年第13期110-113,共4页Henan Science and Technology

摘　　要：【:目的】研究自动站与人工站历史风资料的数据质量。【方法】以2005—2019年长春国家基准气候站自动站与人工站风资料为样本,对风向月相符率、风速对比差值、风速月粗差率和风速月相关性进行数据分析。【结果】10分钟风向相符率多于2分钟,10分钟风向相符率大多集中在40%~60%,平均49%,2分钟风向集中在30%~50%之间,平均39%;自动站风速大于人工站风速,10分钟年平均风速相差最大达0.6 m/s,2分钟年平均风速相差达0.4 m/s;自动站和人工站风速10分钟平均较2分钟平均相关性好。【结论】为今后风要素的数据使用起到良好的借鉴意义。[Purposes]This paper aims to study the quality of historical wind data of automatic and manual stations.[Methods]the data of automatic and manual stations in Changchun National Reference Climate Station from 2005 to 2019 were taken as samples to analyze the monthly coincidence rate of wind direction,the contrast difference of wind speed,the monthly gross difference rate of wind speed and the monthly correlation of wind speed.[Findings]The analysis results show that the wind direction matching rate in 10 minutes is more than that in 2 minutes,and the wind direction matching rate in 10 minutes is mostly concentrated in 40%~60%,with an average of 49%.Within 2 minutes,the wind direction was concentrated between 30%and 50%,with an average of 39%;The wind speed of the automatic station was higher than that of the manual station,and the difference of the 10-minute annual average wind speed was up to 0.6 m/s,and the difference of the 2-minute annual average wind speed was up to 0.4 m/s.The 10-minute average of wind speed of automatic and manual stations is better than that of 2-minute average.[Conclusions]It will provide a good reference for the data use of wind elements in the future.

关 键 词：自动站 人工站 风向月相符率 风速对比差值 风速月粗差率 

分 类 号：P412[天文地球—大气科学及气象学]