A statistical method for correlating paired wave spectra

Ocean wave spectra are complex. Because of this complexity, no widely accepted method has been developed for the comparison between two sets of paired wave spectra. A method for intercomparing wave spectra is developed based on an example paradigm of the comparison of model spectra to observed spectra. Canonical correlation analysis (CCA) is used to investigate the correlation structure of the matrix of spectral correlations. The set of N ranked canonical correlations developed through CCA (here termed the r-sequence) is shown to be an effective method for understanding the degree of correlation between sets of paired spectral observation. A standard method for intercomparing sets of wave spectra based on CCA is then described. The method is elucidated through analyses of synthetic and real spectra that span a range of correlation from random to almost equal.

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Author Collins, Clarence
Vincent, C.
Graber, Hans
Publisher UCAR/NCAR - Library
Publication Date 2015-11-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:11:53.475261
Metadata Record Identifier edu.ucar.opensky::articles:17777
Metadata Language eng; USA
Suggested Citation Collins, Clarence, Vincent, C., Graber, Hans. (2015). A statistical method for correlating paired wave spectra. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d79k4cpt. Accessed 27 July 2025.

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