Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 935–948, 2021
Wind Energ. Sci., 6, 935–948, 2021
Research article
16 Jun 2021
Research article | 16 Jun 2021

New methods to improve the vertical extrapolation of near-surface offshore wind speeds

Mike Optis et al.

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Nicola Bodini, Weiming Hu, Mike Optis, Guido Cervone, and Stefano Alessandrini
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Preprint withdrawn
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Cited articles

Ahsbahs, T., Badger, M., Karagali, I., and Larsén, X. G.: Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR, Remote Sens., 9, 552–569,, 2017. a
Ahsbahs, T., Maclaurin, G., Draxl, C., Jackson, C. R., Monaldo, F., and Badger, M.: US East Coast synthetic aperture radar wind atlas for offshore wind energy, Wind Energ. Sci., 5, 1191–1210,, 2020. a, b, c
Atlantic Shores Offshore Wind: Atlantic Shores Floating LiDAR Buoy Data, available at: (last access: 11 June 2021), 2020. a
Baas, P., Bosveld, F., Lenderink, G., van Meijgaard, E., and Holtslag, A. A. M.: How to design single-column model experiments for comparison with observed nocturnal low-level jets, Q. J. Roy. Meteorol. Soc., 136, 671–684,, 2010. a
Badger, M., Peña, A., Hahmann, A. N., Mouche, A. A., and Hasager, C. B.: Extrapolating Satellite Winds to Turbine Operating Heights, J. Appl. Meteorol. Clim., 55, 975–991,, 2015. a, b, c, d
Short summary
Offshore wind turbines are huge, with rotor blades soon to extend up to nearly 300 m. Accurate modeling of winds across these heights is crucial for accurate estimates of energy production. However, we lack sufficient observations at these heights but have plenty of near-surface observations. Here we show that a basic machine-learning model can provide very accurate estimates of winds in this area, and much better than conventional techniques.