Bivariate copula modelling of significant wave height temporal dependence: a comparison study between buoy and reanalysis data

Conference Paper (2026)
Author(s)

Daniel Guerra-Medina (University of Las Palmas de Gran Canaria)

Germán Rodríguez (University of Las Palmas de Gran Canaria)

Patricia Mares-Nasarre (TU Delft - Civil Engineering & Geosciences)

Research Group
Hydraulic Structures and Flood Risk
URL related publication
https://cmsweb.com.sg/rps2prod/esrel2026/epro/html/esrel26-p26065.html Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Hydraulic Structures and Flood Risk
Article number
26065
Pages (from-to)
2682-2689
Publisher
Research Publishing
ISBN (electronic)
978-981-94-6718-1
Downloads counter
44
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Abstract

A comprehensive understanding of the wave climate at a site of interest is essential for offshore and coastal engineering applications such as flood risk analysis, structural reliability assessment, or the design of coastal interventions. Specifically, the significant wave height, Hs, plays a central role in these designs and assessments, as it characterizes the severity of each sea state and, therefore, governs the loads on coastal and offshore structures, controls key coastal morphodynamic phenomena, among other processes. This study, conducted in the Canary Islands, Spain, focuses on comparing the temporal evolution of wave conditions derived from reanalysis data and from a spatially overlapping buoy in probabilistic terms. Overall, relevant differences are observed between reanalysis and buoy data from a probabilistic perspective that might have consequences in design.

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