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EOF calculations and data filling from incomplete oceanographic datasets
Beckers, J.M.; Rixen, M. (2003). EOF calculations and data filling from incomplete oceanographic datasets. J. Atmos. Oceanic. Technol. 20(12): 1839-1856.<1839:ECADFF>2.0.CO;2
In: Journal of Atmospheric and Oceanic Technology. American Meteorological Society: Boston, MA. ISSN 0739-0572, more
Peer reviewed article  

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    VLIZ: Open Repository 230838 [ OMA ]


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    The paper presents a new self-consistent method to infer missing data from oceanographic data series and to extract the relevant empirical orthogonal functions. As a by-product, the new method allows for the detection of the number of statistically significant EOFs by a cross-validation procedure for a complete or incomplete dataset, as well as the noise level and interpolation error. Since the proposed filling and analysis method does not need a priori information about the error covariance structure, the method is self-consistent and parameter free.

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