Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1515-2019
https://doi.org/10.5194/essd-11-1515-2019
Data description paper
 | 
02 Oct 2019
Data description paper |  | 02 Oct 2019

Global distribution of nearshore slopes with implications for coastal retreat

Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Sandra Gaytan-Aguilar, and Roshanka Ranasinghe

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Cited articles

Andrews, B. D., Defne, Z., Miselis, J. L., and Ganju, N. K.: Continuous terrain model for water circulation studies, Barnegat Bay, New Jersey, US Geological Survey data release, https://doi.org/10.5066/F7PK0D6B, 2015. 
Antolínez, J. A. A., Murray, A. B., Méndez, F. J., Moore, L. J., Farley, G., and Wood, J.: Downscaling Changing Coastlines in a Changing Climate: The Hybrid Approach, J. Geophys. Res.-Earth, 123, 229–251, https://doi.org/10.1002/2017JF004367, 2018. 
Athanasiou, P.: Global distribution of nearshore slopes, 4TU.Centre Res. Data, https://doi.org/10.4121/uuid:a8297dcd-c34e-4e6d-bf66-9fb8913d983d, 2019. 
Ballesteros, C., Jiménez, J. A., Valdemoro, H. I., and Bosom, E.: Erosion consequences on beach functions along the Maresme coast (NW Mediterranean, Spain), Nat. Hazards, 90, 173–195, https://doi.org/10.1007/s11069-017-3038-5, 2018. 
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Short summary
This dataset provides the spatial distribution of nearshore slopes at a resolution of 1 km along the global coastline. The calculation was based on available global topo-bathymetric datasets and ocean wave reanalysis. The calculated slopes show skill in capturing the spatial variability of the nearshore slopes when compared against local observations. The importance of this variability is presented with a global coastal retreat assessment for an arbitrary sea level rise scenario.
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