Abstract：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 December 2016 to February 2017 are 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.
喜度, 殷笑茹, 牛霭琛. 基于关联挖掘的自动站数据质控方法的改进[J]. 气象水文海洋仪器, 2018, 35(4): 73-78.
Xi Du, Yin Xiaoru, Niu Aichen. Improvement for automatic station data quality control method based on association mining. Meteorological Hydrological and Marine Instrument, 2018, 35(4): 73-78.
2018, Vol. 35 
