Articles | Volume 23, issue 5
https://doi.org/10.5194/nhess-23-1847-2023
https://doi.org/10.5194/nhess-23-1847-2023
Research article
 | 
22 May 2023
Research article |  | 22 May 2023

Enabling dynamic modelling of coastal flooding by defining storm tide hydrographs

Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts

Data sets

COAST-HG: A global COastal dAtaset of Storm Tide HydroGraphs Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts https://figshare.com/s/82b84719daa8b8b91da6

Global sea level change time series from 1950 to 2050 derived from reanalysis and high resolution CMIP6 climate projections Sanne Muis, Maialen Irazoqui Apecechea, José Antonio Álvarez, Martin Verlaan, Kun Yan, Job Dullaart, Jeroen Aerts, Trang Duong, Rosh Ranasinghe, Dewi le Bars, Rein Haarsma, and Malcolm Roberts https://doi.org/10.24381/cds.a6d42d60

Model code and software

HGRAPHER Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts https://github.com/jobdullaart/HGRAPHER

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Short summary
Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
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