Preprints
https://doi.org/10.5194/wes-2026-21
https://doi.org/10.5194/wes-2026-21
12 Feb 2026
 | 12 Feb 2026
Status: this preprint is currently under review for the journal WES.

Characterizing Coastal Turbulence and Wind Speed Gradients Using an Anemometer Array to Improve Offshore Wind Energy Assessment

Henry Potter and Beibei E

Abstract. As interest and investment in offshore wind farms increase, it becomes essential to better understand how interactions at the air-sea interface impact wind and turbulence in the marine boundary layer. Central to this effort is understanding the role of waves, especially on the relatively shallow continental shelves where most wind farms are located and waves are shaped by bathymetry. To address this, we analysed hundreds of hours of high frequency wind speeds measured by an anemometer array on a coastal tower from 14 to 26 m above the mean water surface. Wind speed gradients diverge substantially from established values, and the boundary layer was found non-constant ~60 % of the time. This means that the assumptions required for applying Monin Obukhov Similarity Theory cannot be met, so wind speeds aloft cannot be accurately predicted using this canonical methodology. Wind speed gradients were highest during alongshore winds and lowest during onshore. This occurred because waves refract and shoal parallel to shore which increases surface roughness independent of wind. Onshore winds cross the waves and create strong wind–wave coupling, while alongshore winds move along the waves, weakening the coupling and reducing effective roughness. Changes in the roughness then alters the wind speed which propagated through the boundary layer impacting winds aloft. The results of this study should be used to inform wind farm siting to optimize energy yield.

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Henry Potter and Beibei E

Status: open (until 12 Mar 2026)

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Henry Potter and Beibei E
Henry Potter and Beibei E
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Short summary
We studied coastal winds and found that waves strongly altered wind patterns. Wind speeds increased with height faster during alongshore winds and more slowly during onshore winds. This occurred because the interaction between wind and waves was impacted by their relative directions. Consequently, common wind speed prediction methods failed much of the time. These findings showed that waves must be considered to better plan wind farm locations and improve energy production.
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