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April 8, 2026Weather and Climate Extremes0 citationsOpen Access

Regional assessment of typhoon wind, wave, and current multi-hazards for offshore structure design using SWAN + ADCIRC: Sensitivity to reanalysis wind forcings and extreme value distributions

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YZYang ZhangHCH. ChengCSChao Sheng

Key Points

  • The research aims to assess the impact of typhoon-induced multi-hazards on offshore structure design using numerical modeling.
  • Developed a framework using SWAN and ADCIRC coupled models for hazard assessment.
  • Conducted sensitivity analysis on reanalysis wind forcing datasets and extreme value distributions.
  • Utilized various extreme value models, including generalized and Gumbel distributions, to assess hazards.
  • Performed spatial analysis to examine site-specific variability in hazards.
  • Limited impact of reanalysis wind forcing datasets on estimated typhoon hazards was found.
  • Significant differences in hazard estimates were observed based on the choice of extreme value distribution.
  • Hazard maps for a 50-year return period showed uncertainties up to 10% for most distributions but 20% for Gumbel.
  • Findings indicated moderate-to-high correlations among typhoon wind, wave, and current extremes.

Abstract

This study develops a comprehensive framework for regional assessments of typhoon-induced wind, wave, and current multi-hazards required for offshore structure design using SWAN+ADCIRC coupled numerical models. A primary focus is on sensitivity analysis of estimated high-quantile extremes to the reanalysis wind forcing datasets and extreme value distributions, which remain underexplored. Results reveal that the choice of reanalysis dataset has a limited impact on design-level extremes. However, the selection of extreme value models significantly affects estimated hazards. Generally, the obtained hazard maps for 50-year return period values using the generalized extreme value distribution, generalized Pareto distribution, and optimal distribution (based on the Kolmogorov–Smirnov criterion) are comparable, with uncertainties within 10%, whereas Gumbel distribution results in a larger deviation of up to 20%. Spatial analysis shows that the current extremes exhibit greater spatial variability due to localized seabed topography effects. Additionally, a logistic model-based multivariate extreme value distribution is proposed for modelling typhoon wind, wave, and current tri-variates, demonstrating that the obtained environmental contours are highly site-dependent and vary significantly due to the use of different marginal distributions. These findings provide valuable insights for robustly and reliably assessing the design-level hazards and the characterization and modelling of regional typhoon multi-hazards for offshore structure design. • Developed and verified a framework for assessing regional typhoon multi-hazards based on the ADCIRC+ SWAN coupled numerical models • Revealed the limited sensitivity of using different reanalysis wind forcing datasets on the estimated typhoon hazards • Showed the crucial impact of different extreme value distributions on the estimated typhoon hazards • Showed the moderate-to-high correlation strengths among typhoon wind-wave-current extremes • Provided (joint) typhoon wind, wave, and current hazard maps for the Pearl River Delta offshore region

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69d5f09e74eaea4b11a79fb2https://doi.org/10.1016/j.wace.2026.100899
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