4.7 Article

Multivariate statistical modelling of future marine storms

Journal

APPLIED OCEAN RESEARCH
Volume 65, Issue -, Pages 192-205

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apor.2017.04.009

Keywords

Wave storm; Catalan Coast; Hierarchical Archimedean copula; Generalized Pareto distribution; Non-stationarity; Generalized additive model

Funding

  1. European project CEASELESS [H2020-730030-CEASELESS]
  2. Spanish national projects PLAN-WAVE [CTM2013-45141-R]
  3. MINECO FEDER Funds co-funding CODA-RETOS [MTM2015-65016-C2-2-R]
  4. Generalitat de Catalunya [DGR FI-AGAUR-14]

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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 Concentration Pathway 8.5 Climate-Change scenario, for a fetch-limited environment (Catalan Coast). In the non-stationary model, all considered variables decrease in time, except for storm-duration at the northern part of the Catalan Coast. The joint distribution of storm variables presents cyclical fluctuations, with a stronger influence of climate dynamics than of climate itself. (C) 2017 Elsevier Ltd. All rights reserved.

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