Satellite-derived sandy shoreline trends and interannual variability along the Atlantic coast of Europe

Journal Article (2024)
Authors

Bruno Castelle (Université de Bordeaux)

Etiënne Kras (Deltares)

Gerd Masselink (University of Plymouth)

Tim Scott (University of Plymouth)

Aikaterini Konstantinou (University of Plymouth)

Arjen P. Luijendijk (TU Delft - Coastal Engineering, Deltares)

Research Group
Coastal Engineering
To reference this document use:
https://doi.org/10.1038/s41598-024-63849-4
More Info
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Publication Year
2024
Language
English
Research Group
Coastal Engineering
Issue number
1
Volume number
14
DOI:
https://doi.org/10.1038/s41598-024-63849-4
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Abstract

Monitoring sandy shoreline evolution from years to decades is critical to understand the past and predict the future of our coasts. Optical satellite imagery can now infer such datasets globally, but sometimes with large uncertainties, poor spatial resolution, and thus debatable outcomes. Here we validate and analyse satellite-derived-shoreline positions (1984–2021) along the Atlantic coast of Europe using a moving-averaged approach based on coastline characteristics, indicating conservative uncertainties of long-term trends around 0.4 m/year and a potential bias towards accretion. We show that west-facing open coasts are more prone to long-term erosion, whereas relatively closed coasts favor accretion, although most of computed trends fall within the range of uncertainty. Interannual shoreline variability is influenced by regionally dominant atmospheric climate indices. Quasi-straight open coastlines typically show the strongest and more alongshore-uniform links, while embayed coastlines, especially those not exposed to the dominant wave climate, show weaker and more variable correlation with the indices. Our results provide a spatial continuum between previous local-scale studies, while emphasizing the necessity to further reduce satellite-derived shoreline trend uncertainties. They also call for applications based on a relevant averaging approach and the inclusion of coastal setting parameters to unravel the forcing-response spectrum of sandy shorelines globally.