Estimation of mixed-layer depth from surface parameters

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ID: 299920
2006
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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 (R 2 ) of 0.94.About 67% (91%) of the estimates lie within Ϯ 5 m (Ϯ10 m) of the MLD determined from temperature sensors on the mooring.
Reference Key
openalex_W1987999964 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Debadatta Swain, M. M. Ali, René Weller
Journal journal of marine research
Year 2006
DOI
10.1357/002224006779367285
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