The Wavy Ekman Layer: Langmuir circulations, breaking waves, and Reynolds stress

Large-eddy simulations are made for the canonical Ekman layer problem of a steady wind above a uniformly rotating, constant-density ocean. The focus is on the influence of surface gravity waves: namely, the wave-averaged Stokes-Coriolis and Stokes-vortex forces and parameterized wave breaking for momentum and energy injection. The wave effects are substantial: the boundary layer is deeper, the turbulence is stronger, and eddy momentum flux is dominated by breakers and Langmuir circulations with a vertical structure inconsistent with both the conventional logarithmic layer and eddy viscosity relations. The surface particle mean drift is dominated by Stokes velocity with Langmuir circulations playing a minor role. Implications are assessed for parameterization of the mean velocity profile in the Ekman layer with wave effects by exploring several parameterization ideas. The authors find that the K-profile parameterization (KPP) eddy viscosity is skillful for the interior of the Ekman layer with wave-enhanced magnitude and depth scales. Furthermore, this parameterization form is also apt in the breaker and Stokes layers near the surface when it is expressed as a Lagrangian eddy viscosity (i.e., turbulent Reynolds stress proportional to vertical shear of the Lagrangian mean flow, inclusive of Stokes drift) with a derived eddy-viscosity shape and with a diagnosed vertical profile of a misalignment angle between Reynolds stress and Lagrangian mean shear.

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Author McWilliams, James
Huckle, Edward
Liang, Jun-Hong
Sullivan, Peter
Publisher UCAR/NCAR - Library
Publication Date 2012-11-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:56:11.792264
Metadata Record Identifier edu.ucar.opensky::articles:14294
Metadata Language eng; USA
Suggested Citation McWilliams, James, Huckle, Edward, Liang, Jun-Hong, Sullivan, Peter. (2012). The Wavy Ekman Layer: Langmuir circulations, breaking waves, and Reynolds stress. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d74f1rqr. Accessed 29 June 2025.

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