Non-stationary GEV models for estimating design sea-states in a changing climate. Applications to offshore wind farms along the French coasts
Nicolas Raillard, Coline Poppeschi, Tessa Chevallier, Youen Kervella, Laurent Dubus

TL;DR
This paper develops non-stationary GEV models to better estimate future extreme sea states for offshore wind farm design, accounting for climate change-driven variability and seasonal shifts, thus improving resilience and economic viability.
Contribution
It introduces a novel non-stationary GEV framework for assessing future sea states, integrating climate model data to improve offshore wind farm design under changing conditions.
Findings
Projected increase in extreme sea state levels under climate scenarios
More intense winters and calmer summers predicted along French coasts
Uncertainty is higher for the Mediterranean Sea due to weaker signals
Abstract
The rapid expansion of the French offshore wind sector requires a critical reassessment of structural durability in the face of evolving marine conditions driven by climate change. Traditional design methodologies, which rely on the assumption of stationary environmental conditions, are no longer adequate. This study introduces a novel statistical framework to assess future changes in significant wave height by employing non-stationary Generalized Extreme Value (GEV) models applied to monthly maxima. This approach aims to reduce uncertainty and provide robust design tools adapted to the non-stationary conditions of the future. Based on CMIP6 climate models and reanalysis data, results reveal a projected trend towards a more pronounced seasonal contrast along the French Atlantic and English Channel coasts under future scenarios (SSP1-2.6 and SSP5-8.5), whereas the French Mediterranean…
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Taxonomy
TopicsOcean Waves and Remote Sensing · Climate variability and models · Tropical and Extratropical Cyclones Research
