Global distribution of nearshore slopes with implications for coastal retreat

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

doi:https://doi.org/10.5194/essd-11-1515-2019

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.

https://doi.org/10.5194/essd-11-1515-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 4

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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Final revised paper (published on 02 Oct 2019)
Supplement to the final revised paper
Preprint (discussion started on 27 May 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of nhess-PUC-2019-81', Anonymous Referee #1, 25 Jun 2019
RC2: 'Providing nearshore slopes worlwide', Anonymous Referee #2, 17 Jul 2019
AC1: 'Final author comments', Panagiotis Athanasiou, 21 Aug 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Panagiotis Athanasiou on behalf of the Authors (21 Aug 2019) Author's response Manuscript

ED: Publish as is (02 Sep 2019) by Dirk Fleischer

AR by Panagiotis Athanasiou on behalf of the Authors (03 Sep 2019)

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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.