EGU21-12284
https://doi.org/10.5194/egusphere-egu21-12284
EGU General Assembly 2021
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

What can idealized storm surge simulations tell us about worst case scenarios?

Elin Andrée1,2, Jian Su2, Martin Drews1, Morten Andreas Dahl Larsen1, Asger Bendix Hansen3, and Kristine Skovgaard Madsen2
Elin Andrée et al.
  • 1Technical University of Denmark, DTU Management, Kgs. Lyngby, Denmark (elina@dtu.dk)
  • 2Danish Meteorological Institute, København, Denmark
  • 3DHI, Hørsholm, Denmark

The potential impacts of extreme sea level events are becoming more apparent to the public and policy makers alike. As the magnitude of these events are expected to increase due to climate change, and increased coastal urbanization results in ever increasing stakes in the coastal zones, the need for risk assessments is growing too.

The physical conditions that generate extreme sea levels are highly dependent on site specific conditions, such as bathymetry, tidal regime, wind fetch and the shape of the coastline. For a low-lying country like Denmark, which consists of a peninsula and islands that partition off the semi-enclosed Baltic Sea from the North Sea, a better understanding of how the local sea level responds to wind forcing is urgently called for.

We here present a map for Denmark that shows the most efficient wind directions for generating extreme sea levels, for a total of 70 locations distributed all over the country’s coastlines. The maps are produced by conducting simulations with a high resolution, 3D-ocean model, which is used for operational storm surge modelling at the Danish Meteorological Institute. We force the model with idealized wind fields that maintain a fixed wind speed and wind direction over the entire model domain. Simulations are conducted for one wind speed and one wind direction at a time, generating ensembles of a set of wind directions for a fixed wind speed, as well as a set of wind speeds for a fixed wind direction, respectively.

For each wind direction, we find that the maximum water level at a given location increases linearly with the wind speed, and the slope values show clear spatial patterns, for example distinguishing the Danish southern North Sea coast from the central or northern North Sea Coast. The slope values are highest along the southwestern North Sea coast, where the passage of North Atlantic low pressure systems over the shallow North Sea, as well as the large tidal range, result in a much larger range of variability than in the more sheltered Inner Danish Waters. However, in our simulations the large fetch of the Baltic Sea, in combination with the funneling effect of the Danish Straits, result in almost as high water levels as along the North Sea coast.

Although the wind forcing is completely synthetic with no spatial and temporal structure of a real storm, this idealized approach allows us to systematically investigate the sea level response at the boundaries of what is physically plausible. We evaluate the results from these simulations by comparison to peak water levels from a 58 year long, high resolution ocean hindcast, with promising agreement.

How to cite: Andrée, E., Su, J., Drews, M., Dahl Larsen, M. A., Bendix Hansen, A., and Skovgaard Madsen, K.: What can idealized storm surge simulations tell us about worst case scenarios?, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12284, https://doi.org/10.5194/egusphere-egu21-12284, 2021.

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