Data · dataset · 2026
Large-eddy simulation study of log laws in a neutral Ekman boundary layer
Listed in National Center for Atmospheric Research
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.
Description
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.
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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.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7fn190t ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/large-eddy-simulation-study-of-log-laws-in-a-neutral-e… ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=1f25bf74-c255-4ff9-9a33-69883ba27… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 1f25bf74-c255-4ff9-9a33-69883ba2747b | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |