YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Atmospheric and Oceanic Technology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Atmospheric and Oceanic Technology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Deep Velocity Profiling Using Lowered Acoustic Doppler Current Profilers: Bottom Track and Inverse Solutions

    Source: Journal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 005::page 794
    Author:
    Visbeck, Martin
    DOI: 10.1175/1520-0426(2002)019<0794:DVPULA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Lowered acoustic Doppler current profilers (LADCPs) have matured from an experimental instrument to an operational hydrographic tool to study ocean dynamics. The data processing, however, is still in a rather primitive state. First, a method to estimate bottom-track velocities using the standard water profile data was developed. Then inverse solutions are presented that enhance the standard data processing by adding external constraints such as bottom-referenced velocity profiles. Depending on the depth of the profile and the ADCP range the inclusion of bottom-track data can reduce the local velocity errors by a significant factor. The least squares framework also allows for simplified error analysis of the LADCP system and some of the trade-offs are discussed.
    • Download: (469.4Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Deep Velocity Profiling Using Lowered Acoustic Doppler Current Profilers: Bottom Track and Inverse Solutions

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4156122
    Collections
    • Journal of Atmospheric and Oceanic Technology

    Show full item record

    contributor authorVisbeck, Martin
    date accessioned2017-06-09T14:28:37Z
    date available2017-06-09T14:28:37Z
    date copyright2002/05/01
    date issued2002
    identifier issn0739-0572
    identifier otherams-1995.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4156122
    description abstractLowered acoustic Doppler current profilers (LADCPs) have matured from an experimental instrument to an operational hydrographic tool to study ocean dynamics. The data processing, however, is still in a rather primitive state. First, a method to estimate bottom-track velocities using the standard water profile data was developed. Then inverse solutions are presented that enhance the standard data processing by adding external constraints such as bottom-referenced velocity profiles. Depending on the depth of the profile and the ADCP range the inclusion of bottom-track data can reduce the local velocity errors by a significant factor. The least squares framework also allows for simplified error analysis of the LADCP system and some of the trade-offs are discussed.
    publisherAmerican Meteorological Society
    titleDeep Velocity Profiling Using Lowered Acoustic Doppler Current Profilers: Bottom Track and Inverse Solutions
    typeJournal Paper
    journal volume19
    journal issue5
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(2002)019<0794:DVPULA>2.0.CO;2
    journal fristpage794
    journal lastpage807
    treeJournal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 005
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian