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

    Untitled

    Source: Journal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 009::page 2029
    Author:
    Amador, André;Jaramillo, Sergio;Pawlak, Geno
    DOI: 10.1175/JTECH-D-16-0182.1
    Publisher: American Meteorological Society
    Abstract: AbstractA theoretical model is developed to describe how autonomous underwater vehicle (AUV)-based current measurements are influenced by a surface wave field. The model quantifies a quasi-Lagrangian, wave-induced velocity bias as a function of the local wave conditions, and the vehicle?s depth and velocity using a first-order expansion of the linear wave solution. The theoretical bias is verified via field experiments carried out off the coast of Oahu, Hawaii. Spatially averaged along- and cross-track AUV velocity measurements are calculated over one effective wavelength and compared with time-averaged, fixed ADCP measurements in a range of wave and current conditions. The wave-induced bias is calculated using wave directional spectra derived from fixed ADCP data. Ensemble-averaged velocity differences confirm the presence of the wave-induced bias O(1?5) cm s?1 and reveal an additional bias in the direction of the vehicle motion O(1) cm s?1. The analysis considers velocity measurements made using a Remote Environmental Monitoring Units (REMUS) 100 AUV, but the content applies to any small AUV (vehicle size wavelength) immersed in a wave field.
    • Download: (1.548Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4245816
    Collections
    • Journal of Atmospheric and Oceanic Technology

    Show full item record

    contributor authorAmador, André;Jaramillo, Sergio;Pawlak, Geno
    date accessioned2018-01-03T10:59:48Z
    date available2018-01-03T10:59:48Z
    date copyright7/20/2017 12:00:00 AM
    date issued2017
    identifier otherjtech-d-16-0182.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245816
    description abstractAbstractA theoretical model is developed to describe how autonomous underwater vehicle (AUV)-based current measurements are influenced by a surface wave field. The model quantifies a quasi-Lagrangian, wave-induced velocity bias as a function of the local wave conditions, and the vehicle?s depth and velocity using a first-order expansion of the linear wave solution. The theoretical bias is verified via field experiments carried out off the coast of Oahu, Hawaii. Spatially averaged along- and cross-track AUV velocity measurements are calculated over one effective wavelength and compared with time-averaged, fixed ADCP measurements in a range of wave and current conditions. The wave-induced bias is calculated using wave directional spectra derived from fixed ADCP data. Ensemble-averaged velocity differences confirm the presence of the wave-induced bias O(1?5) cm s?1 and reveal an additional bias in the direction of the vehicle motion O(1) cm s?1. The analysis considers velocity measurements made using a Remote Environmental Monitoring Units (REMUS) 100 AUV, but the content applies to any small AUV (vehicle size wavelength) immersed in a wave field.
    publisherAmerican Meteorological Society
    typeJournal Paper
    journal volume34
    journal issue9
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-16-0182.1
    journal fristpage2029
    journal lastpage2042
    treeJournal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 009
    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