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    XBT Science: Assessment of Instrumental Biases and Errors

    Source: Bulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 006::page 924
    Author:
    Cheng, Lijing
    ,
    Abraham, John
    ,
    Goni, Gustavo
    ,
    Boyer, Timothy
    ,
    Wijffels, Susan
    ,
    Cowley, Rebecca
    ,
    Gouretski, Viktor
    ,
    Reseghetti, Franco
    ,
    Kizu, Shoichi
    ,
    Dong, Shenfu
    ,
    Bringas, Francis
    ,
    Goes, Marlos
    ,
    Houpert, Loïc
    ,
    Sprintall, Janet
    ,
    Zhu, Jiang
    DOI: 10.1175/BAMS-D-15-00031.1
    Publisher: American Meteorological Society
    Abstract: xpendable bathythermograph (XBT) data were the major component of the ocean temperature profile observations from the late 1960s through the early 2000s, and XBTs still continue to provide critical data to monitor surface and subsurface currents, meridional heat transport, and ocean heat content. Systematic errors have been identified in the XBT data, some of which originate from computing the depth in the profile using a theoretically and experimentally derived fall-rate equation (FRE). After in-depth studies of these biases and discussions held in several workshops dedicated to discussing XBT biases, the XBT science community met at the Fourth XBT Science Workshop and concluded that XBT biases consist of 1) errors in depth values due to the inadequacy of the probe motion description done by standard FRE and 2) independent pure temperature biases. The depth error and temperature bias are temperature dependent and may depend on the data acquisition and recording system. In addition, the depth bias also includes an offset term. Some biases affecting the XBT-derived temperature profiles vary with manufacturer/probe type and have been shown to be time dependent. Best practices for historical XBT data corrections, recommendations for future collection of metadata to accompany XBT data, impact of XBT biases on scientific applications, and challenges encountered are presented in this manuscript. Analysis of XBT data shows that, despite the existence of these biases, historical XBT data without bias corrections are still suitable for many scientific applications, and that bias-corrected data can be used for climate research.
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      XBT Science: Assessment of Instrumental Biases and Errors

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    contributor authorCheng, Lijing
    contributor authorAbraham, John
    contributor authorGoni, Gustavo
    contributor authorBoyer, Timothy
    contributor authorWijffels, Susan
    contributor authorCowley, Rebecca
    contributor authorGouretski, Viktor
    contributor authorReseghetti, Franco
    contributor authorKizu, Shoichi
    contributor authorDong, Shenfu
    contributor authorBringas, Francis
    contributor authorGoes, Marlos
    contributor authorHoupert, Loïc
    contributor authorSprintall, Janet
    contributor authorZhu, Jiang
    date accessioned2017-06-09T16:45:51Z
    date available2017-06-09T16:45:51Z
    date copyright2016/06/01
    date issued2015
    identifier issn0003-0007
    identifier otherams-73671.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215810
    description abstractxpendable bathythermograph (XBT) data were the major component of the ocean temperature profile observations from the late 1960s through the early 2000s, and XBTs still continue to provide critical data to monitor surface and subsurface currents, meridional heat transport, and ocean heat content. Systematic errors have been identified in the XBT data, some of which originate from computing the depth in the profile using a theoretically and experimentally derived fall-rate equation (FRE). After in-depth studies of these biases and discussions held in several workshops dedicated to discussing XBT biases, the XBT science community met at the Fourth XBT Science Workshop and concluded that XBT biases consist of 1) errors in depth values due to the inadequacy of the probe motion description done by standard FRE and 2) independent pure temperature biases. The depth error and temperature bias are temperature dependent and may depend on the data acquisition and recording system. In addition, the depth bias also includes an offset term. Some biases affecting the XBT-derived temperature profiles vary with manufacturer/probe type and have been shown to be time dependent. Best practices for historical XBT data corrections, recommendations for future collection of metadata to accompany XBT data, impact of XBT biases on scientific applications, and challenges encountered are presented in this manuscript. Analysis of XBT data shows that, despite the existence of these biases, historical XBT data without bias corrections are still suitable for many scientific applications, and that bias-corrected data can be used for climate research.
    publisherAmerican Meteorological Society
    titleXBT Science: Assessment of Instrumental Biases and Errors
    typeJournal Paper
    journal volume97
    journal issue6
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-15-00031.1
    journal fristpage924
    journal lastpage933
    treeBulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian