用户名: 密码: 验证码:
船载CTD仪与自动剖面浮标观测资料质量初探
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:PRELIMINARY QUALITY DISCUSSION BETWEEN SHIP-BASED CTD AND PROFILING FLOATS OBSERVATIONAL DATA
  • 作者:吴晓芬 ; 周慧 ; 曹敏杰 ; 刘增宏 ; 孙朝辉 ; 卢少磊
  • 英文作者:WU Xiao-Fen;ZHOU Hui;CAO Min-Jie;LIU Zeng-Hong;SUN Chao-Hui;LU Shao-Lei;State Key Laboratory of Satellite Ocean Environment Dynamics, the Second Institute of Oceanography,MNR;Key Laboratory of Ocean Circulation and Waves, Institute of Oceanography, Chinese Academy of Science;
  • 关键词:自动剖面浮标 ; 船载CTD仪 ; 实验室高精度盐度计 ; 资料质量
  • 英文关键词:profiling floats;;ship-based CTD;;laboratory high precision salinometer;;data quality
  • 中文刊名:HYFZ
  • 英文刊名:Oceanologia et Limnologia Sinica
  • 机构:卫星海洋环境动力学国家重点实验室自然资源部第二海洋研究所;海洋环流与波动重点实验室中国科学院海洋研究所;
  • 出版日期:2019-03-15
  • 出版单位:海洋与湖沼
  • 年:2019
  • 期:v.50
  • 基金:中央级公益性科研院所基本科研业务费专项资金资助项目,JG1812号,JG1710号,JG1713号;; 国家自然科学基金委青年基金项目,41406022号,41606003号
  • 语种:中文;
  • 页:HYFZ201902005
  • 页数:13
  • CN:02
  • ISSN:37-1149/P
  • 分类号:46-58
摘要
海洋科学的发展离不开精确的数据,然而各种海洋观测仪器在复杂的海洋环境中作业难免产生测量误差,导致观测数据需要进行实时(或延时)质量控制。中国Argo计划在搭载多个航次布放剖面浮标的同时,对航次中获取的船载CTD(conductivity, temperature, and depth)仪观测资料、自动剖面浮标观测资料以及实验室高精度盐度计测量数据进行了实时比对。分析结果显示,利用实验室高精度盐度计对现场观测数据尤其是船载CTD仪观测资料进行质量控制,于温盐数据(特别是深层)的实时/延时校正非常重要;如某航次未经标定的船载CTD仪所测1000dbar以深范围内海水盐度,与实验室高精度盐度计的差值达到±0.1左右,远远落后于国内海洋调查规范对盐度准确度±0.02的一级测量要求,该具体实例更加突显了船载CTD仪在航次前后送往权威部门进行检测的必要性和重要性,从而确保每个航次获取的CTD资料的质量。建议有条件的情况下,在进行深海大洋船载CTD仪观测时要进行现场实验室高精度盐度计的质量控制工作及比对试验,以提高我国深海大洋观测数据的质量。
        It is well known that the development of marine science depends on accurate data, however, a variety of marine observation instrument that work in complicated ocean environments may unavoidably produce measurement error,lead to the need for real-time(or delayed mode) data quality control. This article mainly gives a real-time contrast among the data collected by ship-based CTD instruments, Argo profiling floats and high-precision laboratory salinometer after two voyages carried by China Argo program. Analysis results show that the data inspection through laboratory salinometer is very important for in-situ observational data, especially for the ship-based CTD observations, and is thus vital for the calibration of temperature or salinity data, especially for deep ocean. Just like the comparison gave, the salinity near 1000 dbar acquired by a ship-based CTD which was not calibrated before the voyage, has a differential of nearly ±0.1 compared with laboratory salinometer observation. Such lags are far behind the accuracy of ±0.02 salinity measurement requirement in the domestic ocean survey specification. Based on these tests, we suggest that researchers who are engaged in the open ocean survey should give a focus on the data quality control with different instruments, for example, the ship-based CTD should be sent to authoritative department for calibration before and after a cruise, in order to promote and improve the quality of the national marine observational dataset.
引文
王辉赞,张韧,王桂华等,2012.Argo浮标温盐剖面观测资料的质量控制技术.地球物理学报,55(2):577-588
    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,2008.GB/T 12763.2-2007海洋调查规范第2部分:海洋水文观测.北京:中国标准出版社
    卢少磊,孙朝辉,刘增宏等,2016.COPEX和HM2000与APEX型剖面浮标比测试验及资料质量评价.海洋技术学报,35(1):84-92
    卢少磊,李宏,刘增宏,2014.Argo盐度资料延时质量控制的改进方法.解放军理工大学学报(自然科学版),15(6):598-606
    刘增宏,许建平,朱伯康等,2006b.Argo资料延时质量控制及其应用探讨.见:许建平.Argo应用研究论文集.北京:海洋出版社
    刘增宏,许建平,孙朝辉,2007.Argo浮标电导率漂移误差检测及其校正方法探讨.海洋技术,26(4):72-76
    刘增宏,许建平,修义瑞等,2006a.参考数据集对Argo剖面浮标盐度观测资料校正的影响.海洋预报,23(4):1-12
    刘增宏,吴晓芬,许建平等,2016.中国Argo海洋观测十五年.地球科学进展,31(5):445-460
    许建平,苏纪兰,1999.CTD资料质量控制浅析.海洋学报,21(1):126-132
    孙朝辉,刘增宏,朱伯康等,2005.Argo剖面浮标观测资料的接收、处理与共享.海洋技术,24(2):130-134
    李凯峰,欧阳永忠,陆秀平等,2018.海洋控制测量误差分析与成果质量评定.海洋测绘,38(1):46-49
    沈锐,王德亮,刘增宏等,2017.一种跻身全球Argo实时海洋观测网的国产海洋观测仪器:HM2000型剖面浮标.见:许建平.西太平洋Argo实时海洋调查研究文集.北京:海洋出版社,355-372
    陈建,姜祝辉,宿兴涛等,2018.多源资料重构三维海温场的先验误差估计和诊断分析.海洋学报,40(4):15-29
    奚萌,宋清涛,林明森等,2017.西北太平洋红外辐射计海表温度数据交叉比对分析.海洋与湖沼,48(3):436-453
    童明荣,孙朝辉,刘增宏,2003.AUTOSAL 8400B型实验室盐度计及其应用.海洋技术,22(4):85-88
    窦文洁,蒋锦刚,周斌等,2014.SST产品误差在海-气CO2通量计算中的传递及贡献分析.海洋与湖沼,45(1):148-156
    Annie W,Robert K,Thierry C et al,2018.Argo Quality Control Manual for CTD and Trajectory Data,version 3.1.http://dx.doi.org/10.13155/33951
    Bhaskar T V S U,Venkat Shesu R,Boyer T P et al,2017.Quality control of oceanographic in situ data from Argo floats using climatological convex hulls.MethodsX,4:469-479
    Boyer T,Locarnini R A,Zwing M M et al,2015.Changes to calculations of the World Ocean Atlas 2013 for version 2.https://data.nodc.noaa.gov/woa/WOA13/DOC/woa13v2_changes.pdf
    Cheng L J,Zhu J,Cowley R et al,2014.Time,Probe Type,and Temperature variable bias corrections to historical Expendable Bathythermograph observations.Journal of Atmospheric and Oceanic Technology,31(8):1793-1825
    Coriolis Data Management,2017.Implementation of Argo real time quality controls by Coriolis data centre.http://doi.org/10.13155/49438
    Hsu J Y,Lien R C,D’Asaro E A et al,2018.Estimates of surface waves using subsurface EM-APEX floats under typhoon Fanapi 2010.Journal of Atmospheric and Oceanic Technology,35(5):1053-1075
    Kobayashi T,2004.Historical salinity dataset for Argo delayed-mode quality control:Selected Hydrographic Dataset(SeHyD).Report of Japan Marine Science and Technology Center,49:51-71
    Kobayashi T,King B A,Shikama N,2009.An estimation of the average lifetime of the latest model of APEX floats.Journal of Oceanography,65(1):81-89
    Liu Z H,Wu X F,Xu J P et al,2017.China Argo project:progress in China Argo ocean observations and data applications.Acta Oceanologica Sinica,36(6):1-11
    Owens W B,Wong A P S,2009.An improved calibration method for the drift of the conductivity sensor on autonomous CTDprofiling floats byθ-S climatology.Deep Sea Research Part I:Oceanographic Research Papers,56(3):450-457
    Riser S C,Freeland H J,Roemmich D et al,2016.Fifteen years of ocean observations with the global Argo array.Nature Climate Change,6(2):145-153
    Roemmich D,Boebel O,Desaubies Y et al,2001.Argo:the global array of profiling floats.In:Koblinsky C J,Smith NR eds.Observing the Oceans in the 21st Century.Melbourne:GODAE Project Office,Bureau of Meteorology,248-258

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700