A new roughness length parameterization accounting for wind–wave (mis)alignment

Two-way feedback occurs between offshore wind and waves. However, the influence of the waves on the wind profile remains understudied, in particular the momentum transfer between the sea surface and the atmosphere. Previous studies showed that for swell waves it is possible to have increasing wind speeds in case of aligned wind-wave directions. However, the opposite is valid for opposed wind-wave directions, where a decrease in wind velocity is observed. Up to now, this behavior has not been included in most numerical models due to the lack of an appropriate parameterization of the resulting effective roughness length. Using an extensive data set of offshore measurements in the North Sea and the Atlantic Ocean, we show that the wave roughness length affecting the wind is indeed dependent on the alignment between the wind and wave directions. Moreover, we propose a new roughness length parameterization, taking into account the dependence on alignment, consisting of an enhanced roughness length for increasing misalignment. Using this new roughness length parameterization in numerical models might facilitate a better representation of offshore wind, which is relevant to many applications including offshore wind energy and climate modeling.

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Copyright 2019 Author(s). This work is licensed under a Creative Commons Attribution 4.0 International license.


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Author Porchetta, Sara
Temel, Orkun
Muñoz-Esparza, Domingo
Reuder, Joachim
Monbaliu, Jaak
van Beeck, Jeroen
van Lipzig, Nicole
Publisher UCAR/NCAR - Library
Publication Date 2019-05-20T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:21:17.935308
Metadata Record Identifier edu.ucar.opensky::articles:22538
Metadata Language eng; USA
Suggested Citation Porchetta, Sara, Temel, Orkun, Muñoz-Esparza, Domingo, Reuder, Joachim, Monbaliu, Jaak, van Beeck, Jeroen, van Lipzig, Nicole. (2019). A new roughness length parameterization accounting for wind–wave (mis)alignment. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7cv4mvb. Accessed 02 December 2024.

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