Preprints
https://doi.org/10.5194/egusphere-2022-1048
https://doi.org/10.5194/egusphere-2022-1048
 
28 Oct 2022
28 Oct 2022
Status: this preprint is open for discussion.

Enabling dynamic modelling of global coastal flooding by defining storm tide hydrographs

Job C. M. Dullaart1, Sanne Muis1,2, Hans de Moel1, Philip J. Ward1, Dirk Eilander1,2, and Jeroen C. J. H. Aerts1,2 Job C. M. Dullaart et al.
  • 1Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
  • 2Deltares, Delft, The Netherlands

Abstract. Coastal flooding is driven by both high tides and/or storm surge, the latter being caused by strong winds and low pressure in tropical and extratropical. The combination of storm surge and the astronomical tide is defined as the storm tide. To gain understanding into the threat imposed 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. Most models capable of simulating coastal inundation at the global scale follow a simple planar approach, often referred to as bathtub models. The main limitations of this type of model are that they implicitly assume an infinite flood duration and do not capture relevant physical processes. In this study we develop a method to generate hydrographs called HGRAPHER, and provide a global dataset of storm tide hydrographs. These hydrographs represent the typical shape of an extreme storm tide at a certain location along the global coastline. We test the sensitivity of the HGRAPHER method with respect to two main assumptions that determine the shape of the hydrograph, namely the surge event sampling threshold and coincidence in time of the surge and tide maxima. These hydrographs can be used to move away from planar to more advanced dynamic inundation modelling techniques at large scales.

Job C. M. Dullaart et al.

Status: open (until 11 Dec 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1048', Anonymous Referee #1, 29 Nov 2022 reply
  • RC2: 'Comment on egusphere-2022-1048', Anonymous Referee #2, 05 Dec 2022 reply

Job C. M. Dullaart et al.

Data sets

COAST-HR Dullaart, J. C. M., Muis, S., de Moel, H., Ward, P. J., Eilander, D., & Aerts, J. C. J. H. https://figshare.com/s/82b84719daa8b8b91da6

Model code and software

HGRAPHER Dullaart, J. C. M., Muis, S., de Moel, H., Ward, P. J., Eilander, D., & Aerts, J. C. J. H. https://github.com/jobdullaart/HGRAPHER

Job C. M. Dullaart et al.

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Short summary
Coastal flooding is driven by storm surges and high tides and can be devastating. To gain understanding into the threat imposed 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.