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Shoreline variability via empirical orthogonal function analysis: Part I temporal and spatial characteristics by Jon K. Miller; Robert G. Dean is a Earth and Planetary Sciences article available to read on EtoBox.

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Empirical orthogonal functions (EOFs) or principal components were used to extract the significant modes of shoreline variability from several data sets collected at three very different locations. Although EOFs have proven to be a valuable tool in the analysis of nearshore data, most applications have focused on the ability of the technique to describe cross-shore or profile variability. Here however, EOFs were used to help identify the dominant modes of longshore shoreline variability at Duck, North Carolina, the Gold Coast, Australia, and at several locations within the Columbia River Littoral Cell in the U.S. Pacific Northwest. In part one of this analysis, characteristic patterns of shoreline variability identified by the EOF analysis are described in detail. At each site, the dominant modes consisting of the first four eigenfunctions were found to describe nearly 95% of the total shoreline variability. At both Duck and the Gold Coast, several interesting longshore periodic features suggestive of sand waves were identified, while boundary effects related to natural headlands and navigational structures/entrances dominated the Pacific Northwest data sets.

Who reads Shoreline variability via empirical orthogonal function analysis: Part I temporal and spatial characteristics?

Author

Jon K. Miller; Robert G. Dean

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0378-3839)

Published

2007

Language

EN

Field

Earth and Planetary Sciences (Physical Sciences)