摘要：Abstract. Nearshore slope, defined as the cross-shore gradient of the subaqueousprofile, is an important input parameter which affects hydrodynamic andmorphological coastal processes. It is used in both local and large-scalecoastal investigations. However, due to unavailability of data, moststudies, especially those that focus on continental or global scales, havehistorically adopted a uniform nearshore slope. This simplifying assumptioncould however have far-reaching implications for predictions/projectionsthus obtained. Here, we present the first global dataset of nearshore slopeswith a resolution of 1 km at almost 620 000 points along the globalcoastline. To this end, coastal profiles were constructed using globaltopo-bathymetric datasets. The results show that the nearshore slopes varysubstantially around the world. An assessment of coastline recession driven by sea level rise (SLR)(for an arbitrary 0.5 m SLR) with a globally uniformcoastal slope of 1 : 100, as carried out in previous studies, and with the spatiallyvariable coastal slopes computed herein shows that, on average, the formerapproach would underestimate coastline recession by about 40 %, albeitwith significant spatial variation. The final dataset has been made publiclyavailable athttps://doi.org/10.4121/uuid:a8297dcd-c34e-4e6d-bf66-9fb8913d983d (Athanasiou, 2019).
