2005
DOI: 10.1016/j.dynatmoce.2005.06.001
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Combined wavelet and principal component analysis (WEof) of a scale-oriented model of coastal ocean gravity waves

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Cited by 12 publications
(13 citation statements)
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“…The 3‐D primitive equation coastal ocean model SYMPHONIE is described in detail by Marsaleix et al [2006]. It has recently been used to study wind‐induced circulation in the Gulf of Lions [ Estournel et al , 2003; Auclair et al , 2003; Petrenko et al , 2005], circulation in the Bay of Fos [ Ulses et al , 2005], dense water formation in the Gulf of Lions [ Dufau‐Julliand et al , 2004] and in the Gulf of Thermaikos [ Estournel et al , 2005], and internal gravity waves [ Pairaud and Auclair , 2005]. The horizontal grid is orthogonal, with a 3 km grid spacing 3.5 times smaller than the first Rossby deformation radius: the model is eddy‐resolving.…”
Section: Tools and Methodsmentioning
confidence: 99%
“…The 3‐D primitive equation coastal ocean model SYMPHONIE is described in detail by Marsaleix et al [2006]. It has recently been used to study wind‐induced circulation in the Gulf of Lions [ Estournel et al , 2003; Auclair et al , 2003; Petrenko et al , 2005], circulation in the Bay of Fos [ Ulses et al , 2005], dense water formation in the Gulf of Lions [ Dufau‐Julliand et al , 2004] and in the Gulf of Thermaikos [ Estournel et al , 2005], and internal gravity waves [ Pairaud and Auclair , 2005]. The horizontal grid is orthogonal, with a 3 km grid spacing 3.5 times smaller than the first Rossby deformation radius: the model is eddy‐resolving.…”
Section: Tools and Methodsmentioning
confidence: 99%
“…This method utilizes the wavelet empirical orthogonal functions and is called WEof Analysis. Pairaud and Auclair (2005) described this method in detail in combination with time-frequency wavelet analysis as shown in Farge (1992). It also has another function, that is, spatial PCA for the recognition of coherent physical structures.…”
Section: R E T R a Cmentioning
confidence: 99%
“…Wavelet analysis has been used extensively in the past decade to analyze both time series and spatial data in geophysical and engineering applications. Examples include the analysis of streamflows [ Coulibaly and Burn , 2004], seismogram data [ Lockwood and Kanamori , 2006], long‐term trends in geomagnetic activity [ De Artigas et al , 2006], and ocean waves [ Pairaud and Auclair , 2005]. Wavelet analysis [ Mallat , 1989] allows the original signal or image to be split into different components so that each component can be studied with a resolution that is suitable for its scale.…”
Section: Introductionmentioning
confidence: 99%