An intercomparison of large-eddy simulations of the stable boundary layer, Boundary-Layer Meteorol

Abstract. Results are presented from the first intercomparison of large-eddy simulation (LES) models for the stable boundary layer (SBL), as part of the Global Energy and Water Cycle Experiment Atmospheric Boundary Layer Study initiative. A moderately stable case is used, based on Arctic observation...

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Bibliographic Details
Main Authors: Robert J. Beare, Malcolm K. Macvean, A. M. Holtslag, Joan Cuxart, Igor Esau, Maria A. Jimenez, Marat Khairoutdinov, David Lewellen, Thomas S. Lund, Julie K, Lundquist Anne Mccabe, Siegfried Raasch, Peter Sullivan
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2006
Subjects:
Large-eddy simulation
Parametrization
Resolution
Stable boundary layer
Subgrid model
Arctic
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.661.2387
http://www2.mmm.ucar.edu/people/sullivan/talks/papers/beare.pdf
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Summary:Abstract. Results are presented from the first intercomparison of large-eddy simulation (LES) models for the stable boundary layer (SBL), as part of the Global Energy and Water Cycle Experiment Atmospheric Boundary Layer Study initiative. A moderately stable case is used, based on Arctic observations. All models produce successful simulations, in as much as they generate resolved turbulence and reflect many of the results from local scaling theory and observations. Simulations performed at 1-m and 2-m resolution show only small changes in the mean profiles compared to coarser resolutions. Also, sensitivity to subgrid models for individual models highlights their importance in SBL simulation at moderate resolution (6.25m). Stability functions are derived from the LES using typical mixing lengths used in numerical weather prediction (NWP) and climate models. The functions have smaller values than those used in NWP. There is also support for the use of K-profile similarity in para-metrizations. Thus, the results provide improved understanding and motivate future devel-opments of the parametrization of the SBL.

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