Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global distribution of nearshore slopes with implications for coastal retreat
Panagiotis Athanasiou
CORRESPONDING AUTHOR
Deltares, Delft, the Netherlands
Water Engineering and Management, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Ap van Dongeren
Deltares, Delft, the Netherlands
IHE Delft Institute for Water Education, Delft, the Netherlands
Alessio Giardino
Deltares, Delft, the Netherlands
Michalis Vousdoukas
European Commission, Joint Research Centre (JRC), Ispra, Italy
Department of Marine Sciences, University of the Aegean, Mytilene,
Greece
Sandra Gaytan-Aguilar
Deltares, Delft, the Netherlands
Roshanka Ranasinghe
IHE Delft Institute for Water Education, Delft, the Netherlands
Water Engineering and Management, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Deltares, Delft, the Netherlands
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Latest update: 14 Dec 2024
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.
This dataset provides the spatial distribution of nearshore slopes at a resolution of 1 km along...
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