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Volume 15, issue 10 | Copyright

Special issue: Monitoring and modelling to guide coastal adaptation to extreme...

Nat. Hazards Earth Syst. Sci., 15, 2209-2225, 2015
https://doi.org/10.5194/nhess-15-2209-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 08 Oct 2015

Research article | 08 Oct 2015

Assessment and comparison of extreme sea levels and waves during the 2013/14 storm season in two UK coastal regions

M. P. Wadey1, J. M. Brown2, I. D. Haigh1,3, T. Dolphin4, and P. Wisse5 M. P. Wadey et al.
  • 1Ocean and Earth Sciences, University of Southampton, National Oceanography Centre, Southampton, Hampshire, UK
  • 2National Oceanography Centre, Liverpool, Merseyside, UK
  • 3School of Civil, Environmental and Mining Engineering and the UWA Oceans Institute, The University of Western Australia, Perth, Australia
  • 4The Centre for Environment, Fisheries & Aquaculture Science (Cefas), Lowestoft, Suffolk, UK
  • 5Sefton Council, Bootle, Merseyside, UK

Abstract. The extreme sea levels and waves experienced around the UK's coast during the 2013/14 winter caused extensive coastal flooding and damage. Coastal managers seek to place such extremes in relation to the anticipated standards of flood protection, and the long-term recovery of the natural system. In this context, return periods are often used as a form of guidance. This paper provides these levels for the winter storms, and discusses their application to the given data sets for two UK case study sites: Sefton, northwest England, and Suffolk, east England. Tide gauge records and wave buoy data were used to compare the 2013/14 storms with return periods from a national data set, and also joint probabilities of sea level and wave heights were generated, incorporating the recent events. The 2013/14 high waters and waves were extreme due to the number of events, as well as the extremity of the 5 December 2013 "Xaver" storm, which had a high return period at both case study sites. The national-scale impact of this event was due to its coincidence with spring high tide at multiple locations. Given that this event is such an outlier in the joint probability analyses of these observed data sets, and that the season saw several events in close succession, coastal defences appear to have provided a good level of protection. This type of assessment could in the future be recorded alongside defence performance and upgrade. Ideally other variables (e.g. river levels at estuarine locations) would also be included, and with appropriate offsetting for local trends (e.g. mean sea-level rise) so that the storm-driven component of coastal flood events can be determined. This could allow long-term comparison of storm severity, and an assessment of how sea-level rise influences return levels over time, which is important for consideration of coastal resilience in strategic management plans.

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