Large-Eddy Simulation Study of Log Laws in a Neutral Ekman Boundary Layer

Abstract

The characteristics of wind profiles in a neutral atmospheric boundary layer and their dependence on the geostrophic wind speed U-g, Coriolis parameter f, and surface roughness length z(0) are examined utilizing largeeddy simulations. These simulations produce a constant momentum flux layer and a log-law layer above the surface characterized by a logarithmic increase of wind speed with height. The von Karman constant derived from the mean wind profile is around 0.4 over a wide range of control parameters. The depths of the simulated boundary layer, constant-flux layer, and surface log-law layer tend to increase with the wind speed and decrease with an increasing Coriolis parameter. Immediately above the surface log-law layer, a second log-law layer has been identified from these simulations. The depth of this upper log-law layer is comparable to its counterpart in the surface layer, and the wind speed can be scaled as u(*)(u(*)/fh)(3/4), as opposed to just u(*) in the surface log-law layer, implying that in addition to surface processes, the upper log-law layer is also influenced by Earth's rotation and large-scale conditions. Here u(*) is the friction velocity at the surface, and h is the boundary layer depth. An analytical model is proposed to assist in the interpretation of the log laws in a typical Ekman boundary layer. The physics and implications of the upper log-law layer are discussed.

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Document Details

Document Type
Technical Report
Publication Date
May 18, 2018
Accession Number
AD1101291

Entities

People

  • Peter P Sullivan
  • Qingfang Jiang
  • Shouping Wang

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Boundaries
  • Boundary Layer
  • Boundary Layer Flow
  • Equations
  • Geostrophic Wind
  • Grids
  • Large Eddy Simulation
  • Layers
  • Mechanics
  • Meteorology
  • Roughness
  • Simulations
  • Surface Roughness
  • Turbulence
  • Turbulent Mixing
  • Wind

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Fluid Dynamics.