Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4120
Title: Wavelet-Based Clustering of Sea Level Records
Authors: Susana Alexandra Barbosa
Gouveia,S
Scotto,MG
Alonso,AM
Issue Date: 2016
Abstract: The classification ofmultivariate time series in terms of their corresponding temporal dependence patterns is a common problem in geosciences, particularly for large datasets resulting from environmental monitoring networks. Here a wavelet-based clustering approach is applied to sea level and atmospheric pressure time series at tide gauge locations in the Baltic Sea. The resulting dendrogram discriminates three spatially-coherent groups of stations separating the southernmost tide gauges, reflecting mainly high-frequency variability driven by zonal wind, from the middle-basin stations and the northernmost stations dominated by lower-frequency variability and the response to atmospheric pressure.
URI: http://repositorio.inesctec.pt/handle/123456789/4120
http://dx.doi.org/10.1007/s11004-015-9623-9
metadata.dc.type: article
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