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Estimation of mixed-layer depth from surface parameters

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dc.contributor.author Swain, D.
dc.contributor.author Ali, M. M.
dc.contributor.author Weller, Robert A.
dc.date.accessioned 2007-02-09T19:29:49Z
dc.date.available 2007-02-09T19:29:49Z
dc.date.issued 2006-09
dc.identifier.citation Journal of Marine Research 64 (2006): 745-758 en
dc.identifier.uri http://hdl.handle.net/1912/1502
dc.description Author Posting. © Sears Foundation for Marine Research, 2006. This article is posted here by permission of Sears Foundation for Marine Research for personal use, not for redistribution. The definitive version was published in Journal of Marine Research 64 (2006): 745-758, doi:10.1357/002224006779367285. en
dc.description.abstract Mixed layer depth (MLD) is an important oceanographic parameter. However, the lack of direct observations of MLD hampers both specification and investigation of its spatial and temporal variability. An important alternative to direct observation would be the ability to estimate MLD from surface parameters easily available from satellites. In this study, we demonstrate estimation of MLD using Artificial Neural Network methods and surface meteorology from a surface mooring in the Arabian Sea. The estimated MLD had a root mean square error of 7.36 m and a coefficient of determination (R2) of 0.94. About 67% (91%) of the estimates lie within ± 5 m (± 10 m) of the MLD determined from temperature sensors on the mooring. en
dc.format.extent 308260 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Sears Foundation for Marine Research en
dc.relation.uri http://dx.doi.org/10.1357/002224006779367285
dc.title Estimation of mixed-layer depth from surface parameters en
dc.type Article en
dc.identifier.doi 10.1357/002224006779367285


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