• Login
    About WHOAS
    View Item 
    •   WHOAS Home
    • Woods Hole Oceanographic Institution
    • Physical Oceanography (PO)
    • View Item
    •   WHOAS Home
    • Woods Hole Oceanographic Institution
    • Physical Oceanography (PO)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WHOASCommunities & CollectionsBy Issue DateAuthorsTitlesKeywordsThis CollectionBy Issue DateAuthorsTitlesKeywords

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Estimation of ocean subsurface thermal structure from surface parameters : a neural network approach

    Thumbnail
    View/Open
    2004GL021192.pdf (139.0Kb)
    Date
    2004-10-22
    Author
    Ali, M. M.  Concept link
    Swain, D.  Concept link
    Weller, Robert A.  Concept link
    Metadata
    Show full item record
    Citable URI
    https://hdl.handle.net/1912/3316
    As published
    https://doi.org/10.1029/2004GL021192
    DOI
    10.1029/2004GL021192
    Abstract
    Satellite remote sensing provides diverse and useful ocean surface observations. It is of interest to determine if such surface observations can be used to infer information about the vertical structure of the ocean's interior, like that of temperature profiles. Earlier studies used either sea surface temperature or dynamic height/sea surface height to infer the subsurface temperature profiles. In this study we have used neural network approach to estimate the temperature structure from sea surface temperature, sea surface height, wind stress, net radiation, and net heat flux, available from an Arabian Sea mooring from October 1994 to October 1995, deployed by the Woods Hole Oceanographic Institution. On the average, 50% of the estimations are within an error of ±0.5°C and 90% within ±1.0°C. The average RMS error between the estimated temperature profiles and in situ observations is 0.584°C with a depth-wise average correlation coefficient of 0.92.
    Description
    Author Posting. © American Geophysical Union, 2004. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 31 (2004): L20308, doi:10.1029/2004GL021192.
    Collections
    • Physical Oceanography (PO)
    Suggested Citation
    Geophysical Research Letters 31 (2004): L20308
     
    All Items in WHOAS are protected by original copyright, with all rights reserved, unless otherwise indicated. WHOAS also supports the use of the Creative Commons licenses for original content.
    A service of the MBLWHOI Library | About WHOAS
    Contact Us | Send Feedback | Privacy Policy
    Core Trust Logo