Citation: | Zhang Yu,Zhou Yan,Tao Bangyi, et al. Identification of abnormal buoy data based on time series correlation analysis method[J]. Haiyang Xuebao,2020, 42(11):131–141 doi: 10.3969/j.issn.0253-4193.2020.11.013 |
[1] |
黄谟涛, 翟国君, 王瑞, 等. 海洋测量异常数据的检测[J]. 测绘学报, 1999, 28(3): 269−277. doi: 10.3321/j.issn:1001-1595.1999.03.015
Huang Motao, Zhai Guojun, Wang Rui, et al. The detection of abnormal data in marine survey[J]. Acta Geodaetica et Cartographica Sinica, 1999, 28(3): 269−277. doi: 10.3321/j.issn:1001-1595.1999.03.015
|
[2] |
中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. GB 17378.2−2007, 海洋监测规范 第2部分: 数据处理与分析质量控制[S]. 北京: 中国标准出版社, 2008.
General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of China. GB 17378.2−2007, The specification for marine monitoring—Part 2: data processing and quality control of analysis[S]. Beijing: China Standard Press, 2008.
|
[3] |
Sivareddy S, Paul A, Sluka T, et al. The pre-Argo ocean reanalyses may be seriously affected by the spatial coverage of moored buoys[J]. Scientific Reports, 2017, 7: 46685. doi: 10.1038/srep46685
|
[4] |
Dong Guozhong, Chen Dongying. Quality control algorithm for marine meteorological data based on interest degree association rules[J]. Journal of Coastal Research, 2019, 94(S1): 173−176.
|
[5] |
黄冬梅, 康培红, 张明华, 等. 一种基于ULDB的海洋环境监测数据管理系统[P]. 中国: 201110004234. X, 2011−06−01.
Huang Dongmei, Kang Peihong, Zhang Minghua, et al. ULDB (Databases with Uncertainty and Lineage)-based marine environmental monitored data management system[P]. CN: 201110004234. X, 2011−06−01.
|
[6] |
ARGO. Argo quality control management, Version 2.4, Argo data management[Z]. 2009.
|
[7] |
D'Ortenzio F, Thierry V, Eldin G, et al. White book on oceanic autonomous platforms for biogeochemical studies: instrumentation and measure (PABIM), version 1.3[Z]. 2010.
|
[8] |
Fu Wenju, Huang Guanwen, Yang Yuanxi, et al. Multi-GNSS combined precise point positioning using additional observations with opposite weight for real-time quality control[J]. Remote Sensing, 2019, 11(3): 311. doi: 10.3390/rs11030311
|
[9] |
Cosoli S, Grcic B, De Vos S, et al. Improving data quality for the Australian high frequency ocean radar network through real-time and delayed-mode quality-control procedures[J]. Remote Sensing, 2018, 10(9): 1476. doi: 10.3390/rs10091476
|
[10] |
Duan Boheng, Zhang Weimin, Yang Xiaofeng, et al. Assimilation of typhoon wind field retrieved from scatterometer and SAR based on the Huber norm quality control[J]. Remote Sensing, 2017, 9(10): 987. doi: 10.3390/rs9100987
|
[11] |
Fichot C G, Downing B D, Bergamaschi B A, et al. High-resolution remote sensing of water quality in the San Francisco Bay–Delta Estuary[J]. Environmental Science & Technology, 2016, 50(2): 573−583.
|
[12] |
Schuckmann K, Garau B, Wehde H, et al. MyOcean: real time quality control of temperature and salinity measurements[R]. 2010.
|
[13] |
张明, 张韧, 王辉赞, 等. 基于Argo浮标数据的Aquarius数据产品质量评估[J]. 海洋信息, 2015(3): 21−28. doi: 10.3969/j.issn.1005-1724.2015.03.005
Zhang Ming, Zhang Ren, Wang Zanhui, et al. Quality evaluation of Aquarius data products based on Argo buoy data[J]. Marine Information, 2015(3): 21−28. doi: 10.3969/j.issn.1005-1724.2015.03.005
|
[14] |
史静涛. 海洋环境实时观测数据质量控制方法研究与软件实现[D]. 天津: 国家海洋技术中心, 2010.
Shi Jingtao. The data quality control method research and software realization for marine environment real-time observation[D]. Tianjin: National Marine Technology Center, 2010.
|
[15] |
Ishii M, Fukuda Y, Hirahara S, et al. Accuracy of global upper ocean heat content estimation expected from present observational data sets[J]. SOLA, 2017, 13: 163−167. doi: 10.2151/sola.2017-030
|
[16] |
Shulski M, Cooper S, Roebke G, et al. The Nebraska Mesonet: technical overview of an automated state weather network[J]. Journal of Atmospheric and Oceanic Technology, 2018, 35(11): 2189−2200. doi: 10.1175/JTECH-D-17-0181.1
|
[17] |
Jiang Jingang, Sun Lu, Fan Zhongya, et al. Outlier detection and sequence reconstruction in continuous time series of ocean observation data based on difference analysis and the Dixon criterion[J]. Limnology and Oceanography Methods, 2017, 15(11): 916−927. doi: 10.1002/lom3.10212
|
[18] |
窦文洁, 蒋锦刚, 周斌, 等. 基于多参数差分相关的海洋时序观测数据滤波算法[J]. 海洋学报, 2012, 34(5): 50−58.
Dou Wenjie, Jiang Jingang, Zhou Bin, et al. An algorithm for the difference correlation filter for multi-parameter marine timing observation data[J]. Haiyang Xuebao, 2012, 34(5): 50−58.
|
[19] |
Oguma S, Nagata Y. Skewed water temperature occurrence frequency in the sea off Sanriku, Japan, and intrusion of the pure Kuroshio water[J]. Journal of Oceanography, 2002, 58(6): 787−796. doi: 10.1023/A:1022862911129
|
[20] |
Mardia K V, Kent J T, Bibby J M. Multivariate analysis[J]. Probability and Mathematical Statistics, 1979, 37(1): 123−131.
|
[21] |
Wei W W S. Multivariate Time Series Analysis and Applications[M]. New York: John Wiley & Sons Inc., 2019.
|
[22] |
Bartholomew D J. Time series analysis forecasting and control[J]. Journal of the Operational Research Society, 1971, 22(2): 199−201. doi: 10.1057/jors.1971.52
|
[23] |
Olson D A, Riedel T P, Long R, et al. Time series analysis of wintertime O3 and NOx formation using vector autoregressions[J]. Atmospheric Environment, 2019, 218: 116988. doi: 10.1016/j.atmosenv.2019.116988
|
[24] |
Tsay R S. Time series model specification in the presence of outliers[J]. Journal of the American Statistical Association, 1986, 81(393): 132−141. doi: 10.1080/01621459.1986.10478250
|
[25] |
Razi M A, Athappilly K. A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models[J]. Expert Systems with Applications, 2005, 29(1): 65−74. doi: 10.1016/j.eswa.2005.01.006
|
[26] |
Martínez-Álvarez F, Troncoso A, Riquelme J C, et al. Discovery of motifs to forecast outlier occurrence in time series[J]. Pattern Recognition Letters, 2011, 32(12): 1652−1665. doi: 10.1016/j.patrec.2011.05.002
|
[27] |
Cucina D, Di Salvatore A, Protopapas M K. Outliers detection in multivariate time series using genetic algorithms[J]. Chemometrics and Intelligent Laboratory Systems, 2014, 132: 103−110. doi: 10.1016/j.chemolab.2014.01.007
|
[28] |
Tsay R S. Outliers, level shifts, and variance changes in time series[J]. Journal of Forecasting, 1988, 7(1): 1−20. doi: 10.1002/for.3980070102
|
[29] |
Harlé F, Chatelain F, Gouy-Pailler C, et al. Bayesian model for multiple change-points detection in multivariate time series[J]. IEEE Transactions on Signal Processing, 2016, 64(16): 4351−4362. doi: 10.1109/TSP.2016.2566609
|
[30] |
Boto K G, Bunt J S. Dissolved oxygen and pH relationships in northern Australian mangrove waterways[J]. Limnology and Oceanography, 1981, 26(6): 1176−1178. doi: 10.4319/lo.1981.26.6.1176
|
[31] |
Wallace J, Champagne P, Hall G. Time series relationships between chlorophyll-a, dissolved oxygen, and pH in three facultative wastewater stabilization ponds[J]. Environmental Science: Water Research & Technology, 2016, 2(6): 1032−1040.
|
[32] |
谢群, 张瑜斌, 孙省利, 等. 流沙湾溶解氧的分布特征及其相关因素的探讨[J]. 环境科学与技术, 2009, 32(9): 39−44. doi: 10.3969/j.issn.1003-6504.2009.09.010
Xie Qun, Zhang Yubin, Sun Shengli, et al. Distribution characteristics of dissolved oxygen and correlating factors analysis in Liusha Bay[J]. Environmental Science & Technology, 2009, 32(9): 39−44. doi: 10.3969/j.issn.1003-6504.2009.09.010
|
[33] |
Hollinger D Y, Richardson A D. Uncertainty in eddy covariance measurements and its application to physiological models[J]. Tree Physiology, 2005, 25(7): 873−885. doi: 10.1093/treephys/25.7.873
|
[34] |
刘增宏, 许建平, 修义瑞, 等. 参考数据集对Argo剖面浮标盐度观测资料校正的影响[J]. 海洋预报, 2006, 23(4): 1−12. doi: 10.3969/j.issn.1003-0239.2006.04.001
Liu Zenghong, Xu Jianping, Xiu Yirui, et al. The effect of reference dataset on calibration of Argo profiling float salinity data[J]. Marine Forecasts, 2006, 23(4): 1−12. doi: 10.3969/j.issn.1003-0239.2006.04.001
|
[35] |
王辉赞, 张韧, 王桂华, 等. Argo浮标温盐剖面观测资料的质量控制技术[J]. 地球物理学报, 2012, 55(2): 577−588.
Wang Zanhui, Zhang Ren, Wang Guihua, et al. Quality control of Argo temperature and salinity observation profiles[J]. Chinese Journal of Geophysics, 2012, 55(2): 577−588.
|