Articles | Volume 11, issue 7
https://doi.org/10.5194/wes-11-2521-2026
https://doi.org/10.5194/wes-11-2521-2026
Research article
 | 
21 Jul 2026
Research article |  | 21 Jul 2026

Extreme wind speeds in tropical cyclones using parametric models

Paul Renaud, Léo Vinour, Fabien Leckler, Shogo Uchiyama, and Jean-François Filipot

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Cited articles

Avenas, A., Mouche, A., Tandeo, P., Piolle, J.-F., Chavas, D., Fablet, R., Knaff, J., and Chapron, B.: Reexamining the estimation of tropical cyclone radius of maximum wind from outer size with an extensive synthetic aperture radar dataset, Mon. Weather Rev., 151, 3169–3189, https://doi.org/10.1175/MWR-D-23-0119.1, 2023. a, b, c
Bell, M. M., Montgomery, M. T., and Emanuel, K. A.: Air–sea enthalpy and momentum exchange at major hurricane wind speeds observed during CBLAST, J. Atmos. Sci., 69, 3197–3222, https://doi.org/10.1175/JAS-D-11-0276.1, 2012. a
Biswas, M.: Hurricane Weather Research and Forecasting (HWRF) Model: 2018 Scientific Documentation, https://dtcenter.org/sites/default/files/community-code/hwrf/docs/scientific_documents/HWRFv4.0a_ScientificDoc.pdf (last access: 9 July 2026), 2018. a
Bloemendaal, N., Haigh, I., Moel, H., Muis, S., Haarsma, R., and Aerts, J.: Generation of a global synthetic tropical cyclone hazard dataset using STORM, Scientific Data, 7, 40, https://doi.org/10.1038/s41597-020-0381-2, 2020. a, b
Bouin, M.-N., Lebeaupin Brossier, C., Malardel, S., Voldoire, A., and Sauvage, C.: The wave-age-dependent stress parameterisation (WASP) for momentum and heat turbulent fluxes at sea in SURFEX v8.1, Geosci. Model Dev., 17, 117–141, https://doi.org/10.5194/gmd-17-117-2024, 2024. a, b, c
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Short summary
Tropical cyclones generate extreme winds that can threaten offshore wind turbines. This study presents a parametric surface wind model based on satellite data, combined with a vertical extrapolation method to estimate wind speeds at hub height. The model is validated against measurements and other datasets, showing good performance, particularly in reproducing maximum winds. Accuracy decreases in complex terrains such as Taiwan, where cyclone structure is strongly affected by topography.
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