Articles | Volume 11, issue 7
https://doi.org/10.5194/wes-11-2323-2026
https://doi.org/10.5194/wes-11-2323-2026
Research article
 | 
06 Jul 2026
Research article |  | 06 Jul 2026

A semi-empirical model for near-sea-surface wind speed deficits downstream of offshore wind parks in the German Bight fitted to satellite synthetic aperture radar measurements

Johannes Schulz-Stellenfleth and Bughsin Djath

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Cited articles

Ahsbahs, T., Badger, M., Volker, P., Hansen, K. S., and Hasager, C. B.: Applications of satellite winds for the offshore wind farm site Anholt, Wind Energ. Sci., 3, 573–588, https://doi.org/10.5194/wes-3-573-2018, 2018. a
Akhtar, N., Geyer, B., Rockel, B., Sommer, P. S., and Schrum, C.: Accelerating deployment of offshore wind energy alter wind climate and reduce future power generation potentials, Sci. Rep., 11, 1–12, https://doi.org/10.1038/s41598-021-91283-3, 2021. a
Akhtar, N., Geyer, B., and Schrum, C.: Larger wind turbines as a solution to reduce environmental impacts, Sci. Rep., 14, 6608, https://doi.org/10.1038/s41598-024-56731-w, 2024. a
Ali, K., Schultz, D. M., Revell, A., Stallard, T., and Ouro, P.: Assessment of five wind-farm parameterizations in the Weather Research and Forecasting model: A case study of wind farms in the North Sea, Mon. Weather Rev., 151, 2333–2359, 2023. a
Alpers, W. and Hennings, I.: A theory of the imaging mechanism of underwater bottom topography, J. Geophys. Res., 89, 10529–10546, 1984. a
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Data acquired by the European Sentinel-1A/Sentinel-B satellites are combined with a semi-empirical model to enable the easy inclusion of atmospheric offshore wind farm wakes in existing atmospheric model datasets. The model improves the agreement of data from an operational forecast centre with in situ measurements in the German Bight significantly.
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