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    A Wavelet-Based Technique for Identifying, Labeling, and Tracking of Ocean Eddies

    Source: Journal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 003::page 381
    Author:
    Luo, Jingjia
    ,
    Jameson, Leland
    DOI: 10.1175/1520-0426-19.3.381
    Publisher: American Meteorological Society
    Abstract: Wavelet analysis offers a new approach for viewing and analyzing various large datasets by dividing information according to scale and location. Here a new method is presented that is designed to characterize time-evolving structures in large datasets from computer simulations and from observational data. An example of the use of this method to identify, classify, label, and track eddylike structures in a time-evolving dataset is presented. The initial target application is satellite data from the TOPEX/Poseiden satellite. But, the technique can certainly be used in any large dataset that might contain time-evolving or stationary structures.
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      A Wavelet-Based Technique for Identifying, Labeling, and Tracking of Ocean Eddies

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4160478
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    contributor authorLuo, Jingjia
    contributor authorJameson, Leland
    date accessioned2017-06-09T14:39:40Z
    date available2017-06-09T14:39:40Z
    date copyright2002/03/01
    date issued2002
    identifier issn0739-0572
    identifier otherams-2387.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4160478
    description abstractWavelet analysis offers a new approach for viewing and analyzing various large datasets by dividing information according to scale and location. Here a new method is presented that is designed to characterize time-evolving structures in large datasets from computer simulations and from observational data. An example of the use of this method to identify, classify, label, and track eddylike structures in a time-evolving dataset is presented. The initial target application is satellite data from the TOPEX/Poseiden satellite. But, the technique can certainly be used in any large dataset that might contain time-evolving or stationary structures.
    publisherAmerican Meteorological Society
    titleA Wavelet-Based Technique for Identifying, Labeling, and Tracking of Ocean Eddies
    typeJournal Paper
    journal volume19
    journal issue3
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426-19.3.381
    journal fristpage381
    journal lastpage390
    treeJournal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 003
    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