2017
DOI: 10.1016/j.apor.2017.04.009
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Multivariate statistical modelling of future marine storms

Abstract: Extreme events, such as wave-storms, need to be characterized for coastal infrastructure design purposes. Such description should contain information on both the univariate behaviour and the joint-dependence of storm-variables. These two aspects have been here addressed through generalized Pareto distributions and hierarchical Archimedean copulas. A non-stationary model has been used to highlight the relationship between these extreme events and non-stationary climate. It has been applied to a Representative C… Show more

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Cited by 31 publications
(38 citation statements)
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“…With this information, two scenarios are probably insufficient to represent future climate scenarios (RCP) and create an opportunity for further research. In this vein, Lin-Ye et al [58] proposed a methodology linking precipitation variables and large-scale climate indices, which will be worth exploring in subsequent research.…”
Section: Discussionmentioning
confidence: 99%
“…With this information, two scenarios are probably insufficient to represent future climate scenarios (RCP) and create an opportunity for further research. In this vein, Lin-Ye et al [58] proposed a methodology linking precipitation variables and large-scale climate indices, which will be worth exploring in subsequent research.…”
Section: Discussionmentioning
confidence: 99%
“…Both wave climate [19,21,24] and surge levels are affected by climate patterns [27]. Teleconnection patterns have a different effect on waves in the various areas of the Mediterranean Sea, depending also on season [19,23].…”
Section: Study Areamentioning
confidence: 99%
“…A positive phase of EAWR implies a large reduction of the northwesterly winds in the western Mediterranean, with a reduction of the SWH of the corresponding wave systems traveling across the basin [23]. Furthermore, a positive velocity of SC leads to an increased total energy of the extreme event [21].…”
Section: Study Areamentioning
confidence: 99%
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