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

Journal Article (2019)
Author(s)

Sara Porchetta (Katholieke Universiteit Leuven, von Karman Institute for Fluid Dynamics)

Orkun Temel (von Karman Institute for Fluid Dynamics)

Domingo Munoz-Esparza (National Center for Atmospheric Research)

Joachim Reuder (University of Bergen)

Jaak Monbaliu (Katholieke Universiteit Leuven)

Jeroen van Beeck (von Karman Institute for Fluid Dynamics)

Nicole van Leipzig (Katholieke Universiteit Leuven)

Affiliation
External organisation
DOI related publication
https://doi.org/10.5194/acp-19-6681-2019 Final published version
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Publication Year
2019
Language
English
Affiliation
External organisation
Journal title
Atmospheric Chemistry and Physics (online)
Issue number
10
Volume number
19
Article number
6681–6700
Pages (from-to)
6681-6700
Downloads counter
100

Abstract

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.