主备份自动气象站气象数据的对比算法研究与应用
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摘要
以黄石国家气象观测站地面气象数据为例,研究如何将软硬件差异较大的主备双套自动气象站数据放到同一平台进行数据对比分析。通过将绝对差值、标准差值等数据结合的方法进行分析,提升国家级自动气象站的自动探查错与纠错能力,并以地面气象数据中的气温、气压数据为例,将本文数据处理方法代入后进行自动判别试验。结果表明:通过使用本文方法,可以达到自动判别错误数据源的预期效果。
Taking ground meteorological data of Huangshi National Meteorological Station as the samples, we compare and analyze the data of main and standby automatic meteorological stations in the same software. By combining the absolute differences and standard deviation values, we aim to improve the functions of automatic debugging and automatic error correcting of the state-level meteorological stations. Besides, data of temperature and air pressure of ground meteorological data are used for the automatic identification test with the data processing methods proposed by this study. Results show that the expected effects of automatic identification of wrong data source can be achieved.
Taking ground meteorological data of Huangshi National Meteorological Station as the samples, we compare and analyze the data of main and standby automatic meteorological stations in the same software. By combining the absolute differences and standard deviation values, we aim to improve the functions of automatic debugging and automatic error correcting of the state-level meteorological stations. Besides, data of temperature and air pressure of ground meteorological data are used for the automatic identification test with the data processing methods proposed by this study. Results show that the expected effects of automatic identification of wrong data source can be achieved.
引文
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[2]Durre I,M enne M J,Gleason B E,et al.Comprehensive automated quality assurance of daily surface observations[J].J Appl Meteor Climatol,2010,49:1615-1633.
[3]Sciuto G,Bonaccorso B,Cancelliere A,et al.Probabilistic quality control of daily temperature data[J].International Journal of Climatology,2013,33(5):1211-1227.
[4]任芝花,熊安元,邹凤玲.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(4):516-523.
[5]Taylor J R,Loescher H L.Automated quality control methods for sensor data:a novel observatory approach[J].Biogeosciences,2013,10(7):4957-4971.
[6]王兴,苗春生,江燕如,等.台站温度质量控制中IDW算法改进及应用[J].气象科技,2014,42(4):605-611.
[7]陆忠艳,袁子鹏,蔡福,等.基于GIS的气温和降水推算方法研究[J].气象科技,2008,36(4):389-395.
[8]Anderson S.An evaluation of spatial interpolation methods on air temperature in Phoenix,Arizona State[EB/OL].[2013-06-27].http://www.cobblestoneconcepts.com/ucgis2summer/anderson/anderson.htm,2012,6.
[9]杨晓霞,沈桐立,徐文金,等.最优插值客观分析方法[J].南京气象学院学报,1911,14(4):566-574.
[10]Lu G Y,Wong D W.An adaptive inverse-distance weighting spatial interpolation technique[J].Computers and Geosciences,2008,34(9):1044-1055.
[11]尹嫦姣,江志红,吴息,等.空间差值检验方法在地面气象资料质量控制中的应用[J].气候与环境研究,2010,15(3):229-236.
[12]王海军,杨志彪,杨代才,等.自动气象站实时资料自动质量控制方法及其应用[J].气象,2014,33(10):102-109.
[13]王海军,闫荞荞,向芬,等.逐时气温质量控制中界限值检查算法的设计[J].高原气象,2014,33(6):1722-1728.
[14]中国气象局.地面气象观测数据文件和记录簿表格式[M].北京:气象出版社,2005:3-4.
[15]中国气象局气象探测中心.台站地面综合观测业务软件(ISOS)用户操作手册[M].北京:气象出版社,2014:195-196.
[16]中国气象局监测网络司.第二代自动气象站功能规格书,2010.
[17]Parolari A J,Katul G G,Porporato A.An ecohydrological perspective on drought-induced forest mortality[J].Journal of Geophysical Research Biogeosciences,2014,119(5):965-981.
[18]中国气象局气象探测中心.新型自动气象(气候)站评估报告.2010.
[19]温华洋,徐光清,张虎,等.双套自动气象站数据评估及其优势探讨[J].应用气象学报,2012,23(6):748-750.
[20]呼群,孔祥晨.东胜国家基本气象站双套自动站资料对比分析[J].安徽农业科学,2015,43(5):182-184.
[21]温华洋,华连生,金素文,等.基于空间一致性的双套站数据选取方法探索[J].气象,2013,39(8):1069-1072.