TY - JOUR
T1 - Shoreline variability via empirical orthogonal function analysis
T2 - Part II relationship to nearshore conditions
AU - Miller, Jon K.
AU - Dean, Robert G.
PY - 2007/2
Y1 - 2007/2
N2 - The method of empirical orthogonal function (EOF) or principal component analysis (PCA) was used to investigate the spatial and temporal variability of shoreline data sets from Duck, North Carolina, the Gold Coast, Australia, and the United States Pacific Northwest. In the present work, an attempt is made to relate the individual modes of shoreline variability identified by the EOF analyses to select parameterizations of the nearshore environment. The parameters considered include the wave energy (E), the cross-shore and longshore wave energy fluxes (Fx and Fy), the wave steepness (Ho/Lo), the non-dimensional fall velocity parameter (Ω), the profile parameter (P), the surf-similarity parameter (ζ), and a surfzone Froude number (Fr). Correlation analyses were used to evaluate the linear relationship between each of these parameters and the temporal eigenfunctions, ck(t), associated with individual modes of shoreline change. Typically, strong correlations were observed between longshore uniform modes and the monthly means of several of the nearshore parameters.
AB - The method of empirical orthogonal function (EOF) or principal component analysis (PCA) was used to investigate the spatial and temporal variability of shoreline data sets from Duck, North Carolina, the Gold Coast, Australia, and the United States Pacific Northwest. In the present work, an attempt is made to relate the individual modes of shoreline variability identified by the EOF analyses to select parameterizations of the nearshore environment. The parameters considered include the wave energy (E), the cross-shore and longshore wave energy fluxes (Fx and Fy), the wave steepness (Ho/Lo), the non-dimensional fall velocity parameter (Ω), the profile parameter (P), the surf-similarity parameter (ζ), and a surfzone Froude number (Fr). Correlation analyses were used to evaluate the linear relationship between each of these parameters and the temporal eigenfunctions, ck(t), associated with individual modes of shoreline change. Typically, strong correlations were observed between longshore uniform modes and the monthly means of several of the nearshore parameters.
KW - Correlation analysis
KW - Duck
KW - Empirical orthogonal functions
KW - Gold Coast
KW - Longshore variability
KW - Nearshore
KW - Principal component analysis
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U2 - 10.1016/j.coastaleng.2006.08.014
DO - 10.1016/j.coastaleng.2006.08.014
M3 - Article
AN - SCOPUS:33751421550
SN - 0378-3839
VL - 54
SP - 133
EP - 150
JO - Coastal Engineering
JF - Coastal Engineering
IS - 2
ER -