Abstract
Nearshore slope, defined as the cross-shore gradient of the subaqueous profile, is an important input parameter which affects hydrodynamic and morphological coastal processes. It is used in both local and large-scale coastal investigations. However, due to unavailability of data, most studies, especially those that focus on continental or global scales, have historically adopted a uniform nearshore slope. This simplifying assumption could however have far-reaching implications for predictions/projections thus obtained. Here, we present the first global dataset of nearshore slopes with a resolution of 1 km at almost 620 000 points along the global coastline. To this end, coastal profiles were constructed using global topo-bathymetric datasets. The results show that the nearshore slopes vary substantially around the world. An assessment of coastline recession driven by sea level rise (SLR) (for an arbitrary 0.5 m SLR) with a globally uniform coastal slope of 1 : 100, as carried out in previous studies, and with the spatially variable coastal slopes computed herein shows that, on average, the former approach would underestimate coastline recession by about 40 %, albeit with significant spatial variation. The final dataset has been made publicly available at https://doi.org/10.4121/uuid:a8297dcd-c34e-4e6d-bf66-9fb8913d983d (Athanasiou, 2019).
Original language | English |
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Pages (from-to) | 1515-1529 |
Number of pages | 15 |
Journal | Earth system science data |
Volume | 11 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2 Oct 2019 |
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Global distribution of nearshore slopes
Athanasiou, P. (Creator), Gaytan-Aguilar, S. (Contributor), Giardino, A. (Contributor), Ranasinghe, R. W. M. R. J. B. (Contributor), Vousdoukas, M. I. (Contributor) & van Dongeren, A. (Contributor), 4TU.Centre for Research Data, 3 May 2019
DOI: 10.4121/uuid:a8297dcd-c34e-4e6d-bf66-9fb8913d983d
Dataset