2017
DOI: 10.1680/jmaen.2016.16
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Multivariate extreme value modelling of sea conditions around the coast of England

Abstract: It is widely recognised that coastal flood events can arise from combinations of extreme waves and sea levels. For flood risk analysis and the design of coastal structures it is therefore necessary to assess the joint probability of the occurrence of these variables. Traditional methods have involved the application of joint probability contours, defined in terms of extremes of sea conditions that can, if applied without correction factors, lead to the underestimation of flood risk and under-design of coastal … Show more

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Cited by 38 publications
(47 citation statements)
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“…The performance of different environmental contour methods has been investigated in several studies, including work by some of the current authors (including Jonathan et al 2014a;Vanem and Bitner-Gregersen 2015;Gouldby et al 2017;Vanem 2017). After consideration of the fundamental mathematical differences between different contour methods, it is unreasonable in general to expect to find any consistent trends in comparisons of contour methods across different applications.…”
Section: Environmental Contoursmentioning
confidence: 99%
“…The performance of different environmental contour methods has been investigated in several studies, including work by some of the current authors (including Jonathan et al 2014a;Vanem and Bitner-Gregersen 2015;Gouldby et al 2017;Vanem 2017). After consideration of the fundamental mathematical differences between different contour methods, it is unreasonable in general to expect to find any consistent trends in comparisons of contour methods across different applications.…”
Section: Environmental Contoursmentioning
confidence: 99%
“…We obtained HT04 30 model fits in the Laplace space using maximum likelihood, with each marginal as conditioning variable and all other marginals as dependent variables, resulting in a total of 298*297 model fits, where we chose the fitting threshold ζ f = 0.9, which was a trade-off between variance and bias. HT04 was recently applied for fluvial flooding (Keef et al, 2009;Lamb et al, 2010;Wyncoll et al, 2013) and for coastal flooding (Wyncoll and Gouldby, 2015;Gouldby et al, 2017), in which the model fitting procedure is described in more detail.…”
Section: Q−q Plotmentioning
confidence: 99%
“…Different methods exist to assign auxiliary values, for different purposes. Gouldby et al (2017) analysed different coastal flood variables with an event-based approach, where they adopted concurrent values at all locations where particular thresholds had not been exceeded (i.e. no local event).…”
mentioning
confidence: 99%
“…To address some of this uncertainty, the use of statistical methods has become both more commonplace and a powerful tool in ocean engineering. Combined with the development in computational power it has allowed for computational fluid dynamics (CFD) and numerical analysis to come of age and provide new insights in many aspects of maritime engineering.In the current issue of the journal the paper by Gouldby et al (2017) looks at flood risk analysis and the design of coastal structures, and the necessity to assess the joint probability of occurrence of extreme waves and water levels. Traditionally, methods have involved the application of joint probability contours, which, if incorrectly applied, can lead to the underestimation of flood risk and the under-design of coastal structures.…”
mentioning
confidence: 99%
“…In the current issue of the journal the paper by Gouldby et al (2017) looks at flood risk analysis and the design of coastal structures, and the necessity to assess the joint probability of occurrence of extreme waves and water levels. Traditionally, methods have involved the application of joint probability contours, which, if incorrectly applied, can lead to the underestimation of flood risk and the under-design of coastal structures.…”
mentioning
confidence: 99%