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Improvement for automatic station data quality control method based on association mining |
Xi Du1, Yin Xiaoru2, Niu Aichen2 |
1.Jiangsu Meteorological Observation Center,Nanjing 210009; 2.Jiangsu Meteorological Information Center,Nanjing 210008 |
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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.
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Received: 04 September 2018
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[1] |
任芝花,熊安元,邹风玲.中国地面月气候资料质量控制方法的研究[J].应用气象学报,2007,18(04):516-523.
|
[2] |
陶士伟,仲跻芹,徐枝芳,等.地面自动站资料质量控制方案及应用[J].高原气象,2009,28(05):1202-1209.
|
[3] |
王海军,刘莹.综合一致性质量控制方法及其在气温中的应用[J].应用气象学报,2012,23(01):69-76.
|
[4] |
HARMS S K.Temporal association rule mining in event sequences[J].Encyclopedia of Data Warehousing & Mining,2005,2009:1923-1928.
|
[5] |
孟珍,黄增林.技术数据挖掘的自动气象站故障诊断改进方法[J].陕西气象,2009,(04):25-27.
|
[6] |
浦佳伟.气象数据仓库设计以及数据挖掘的应用[D].上海:华东理工大学,2009.
|
[7] |
郑忠平.基于关联规则和聚类分析的异常天气挖掘[D].成都:电子科技大学,2011.
|
[8] |
盛志军,马中元,许爱华.自动气象站强降水数据质量控制方法与实践[J].气象水文海洋仪器,2016,33(01):79-85.
|
[9] |
解飞,唐培丽,魏宁.基于数据立方体的关联规则挖掘方法研究[J].气象水文海洋仪器,2008,25(01):76-80.
|
|
|
|