摘要
文章针对现有自动站质量控制系统中未考虑观测要素相关性的问题,利用数据挖掘技术重点分析相对湿度小时变率与其他观测要素的关联关系,提出了数据质量控制方法的改进方案。利用上述规则,对2016年10月～2017年10月江苏省自动站小时数据进行验证。结果表明,使用该方案后有效降低了质量控制系统的误检率。
Aiming at the problems of not considering the correlation of observation elements in the existing automatic weather station quality control system,using data mining technology to analyze the relationship between the relative humidity hourly variability and other observation factors,this paper proposes an improved solution for the data quality control method.The hourly data of Jiangsu automatic weather station from December2016to February2017are verified according to the above rules.The results show that the false detection rate of quality control system is effectively reduced after using this scheme.
作者
喜度
殷笑茹
牛霭琛
Xi Du;Yin Xiaoru;Niu Aichen(Jiangsu Meteorological Observation Center,Nanjing 210009;Jiangsu Meteorological Information Center,Nanjing 210008)
出处
《气象水文海洋仪器》
2018年第4期73-78,共6页
Meteorological,Hydrological and Marine Instruments
基金
江苏省气象青年科研开放基金项目(Q201502)
关键词
质量控制
数据挖掘
相对湿度
quality control
data mining
relative humidity
