Wave climate and longshore drift on the South Aquitaine coast

Abadie, Stéphane; Butel, Rémi; Mauriet, Sylvain; Morichon, Denis; Dupuis, Hélène

doi:10.1016/j.csr.2006.06.005

Cited by 45 publications

(24 citation statements)

References 14 publications

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“…Th is led Butel et al (2002) to prefer the simulated annealing method of classifying sea wave state datasets, since this algorithm is able to escape from local optima to find a better minimum. However, our simulations show that the classical K-Means 9/33 clustering algorithm gives similar results to simulated annealing, providing sea state estimates consistent with those of Abadie et al (2006).…”

Section: B) Sea State Clusteringsupporting

confidence: 56%

Teleconnection Pattern Influence on Sea-Wave Climate in the Bay of Biscay

et al. 2011

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The potential modification of hydrodynamic factors such as waves is a source of concern for many coastal communities because of its potential impact on shoreline evolution. In the northern Atlantic, swell is created by storm winds that cross the Atlantic following west-east tracks. These tracks are shifted more southward or northward depending on the season and on recurring large scale atmospheric pressure anomalies, also called teleconnection patterns. This study investigates the trends of sea wave patterns in the Bay of Biscay and re lates their interannual variability to teleconnection patterns.

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Section: B) Sea State Clusteringsupporting

confidence: 56%

Teleconnection Pattern Influence on Sea-Wave Climate in the Bay of Biscay

et al. 2011

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“…Funding for this work was provided by the Queensland Government and Griffith University as part of the Future Coastlines Smart State Project. Abadie et al (2006) with H, and of Bertin et al (2008) with H 2 , and timeseries method. (τ , years).…”

Section: Acknowledgementsmentioning

confidence: 99%

“…The distance function has been used in previous studies to condense wave climates (Butel et al, 2002;Abadie et al, 2006;Bertin et al, 2008) and applied in longshore transport studies (Abadie et al, 2006;Bertin et al, 2008) longshore transport estimates when their data clustering criteria was a function of (H 2 s , T , θ). Therefore, the generalized distance equation used in the present study was:…”

mentioning

confidence: 99%

Climate controls on longshore sediment transport

Splinter¹,

Davidson²,

Golshani³

et al. 2012

Continental Shelf Research

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Subtle changes in the directional wave climate driven by changes in large scale climate variability have the potential to result in spatial changes (erosion and accretion) of sandy coastlines due to deviations in longshore sediment transport supply. 50+ years of hindcast offshore directional wave conditions for southeast Queensland, Australia were used to derive yearly wave climates that were input into a spectral wave model to estimate nearshore breaking wave conditions and resulting longshore sediment transport along a 35 km stretch of sandy coastline. The results presented here indicate strong links between these large scale climate indices and estimated longshore transport (0.69 ≤ R ≤ 0.83), such that a simple model derived from knowledge of these indices could be used as a first pass estimate of spatial and temporal variability in longshore sediment transport and resulting large scale coastal evolution.

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“…During winter, gusty W to NW winds are common. There is a significant spatial variability of the wave climate along the Aquitanian Coast as wave incoming directions are mostly about 290°around Biscarosse, while they are about 300°at the southern end of the coast with a narrower angular sector (Abadie et al, 2005(Abadie et al, , 2006.…”

Section: Wave Climatementioning

confidence: 99%