Understanding the variability of an extreme storm tide along a coastline

Lewis, M.; Schumann, G.; Bates, P.; Horsburgh, K. ORCID: https://orcid.org/0000-0003-4803-9919. 2013 Understanding the variability of an extreme storm tide along a coastline. Estuarine, Coastal and Shelf Science, 123. 19-25. https://doi.org/10.1016/j.ecss.2013.02.009

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Official URL: http://dx.doi.org/10.1016/j.ecss.2013.02.009

Abstract/Summary

Correctly determining the peak storm tide height along the coastline, and expressing the associated natural variability, is essential for a robust prediction of coastal flood risk. A new approach is proposed that calculates a storm tide relationship (relative to a tide gauge) by using a storm surge model to describe the natural spatial variability based on the features of a large number of very high storm tides. Two historic flood events (1953 and 2007) were used to validate this characteristics approach along the East Anglia coastline (U.K.), and predicted water-levels were found to be in good agreement with tide gauge observations (Root Mean Squared Error of 36 cm), especially when compared to the method of assuming a storm tide of constant return period (Root Mean Squared Error of 59 cm). Detailed observations of storm tide height between tide gauge locations are rare; therefore, Synthetic Aperture Radar (SAR) was employed to calculate the LiDAR geo-referenced storm tide height along the North Somerset coastline of the Bristol Channel (U.K.). Two SAR observed “extreme” storm tide events were used to validate the characteristics approach between tide gauges (Root Mean Squared Error of 1.2 m and 0.7 m), and indicated the presence of localised wave effects to the observed storm tide height that could have a significant effect to flood risk estimates.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.ecss.2013.02.009
ISSN:	02727714
Date made live:	14 May 2013 09:33 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/501897

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.ecss.2013.02.009

ISSN:

02727714

Date made live:

14 May 2013 09:33 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/501897