Large-eddy simulation of the daytime boundary layer in an idealized valley using the weather research and forecasting numerical model

A three-dimensional numerical meteorological model is used to perform large-eddy simulations of the upslope flow circulation over a periodic ridge-valley terrain. The subgrid-scale quantities are modelled using a prognostic turbulence kinetic energy (TKE) scheme, with a grid that has a constant horizontal resolution of 50 m and is stretched along the vertical direction. To account for the grid anisotropy, a modified subgrid length scale is used. To allow for the response of the surface fluxes to the valley-flow circulation, the soil surface temperature is imposed and the surface heat and momentum fluxes are computed based on Monin–Obukhov similarity theory. The model is designed with a symmetrical geometry using periodic boundary conditions in both the x and y directions. Two cases are simulated to study the influence of along-valley geostrophic wind forcing with different intensities. The presence of the orography introduces numerous complexities both in the mean properties of the flow and in the turbulent features, even for the idealized symmetric geometry. Classical definitions for the height of the planetary boundary layer (PBL) are revisited and redefined to capture the complex structure of the boundary layer. Analysis of first- and second-moment statistics, along with TKE budget, highlights the different structure of the PBL at different regions of the domain.

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An edited version of this paper was published by Springer. Copyright 2010 Springer.


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Author Catalano, Franco
Moeng, Chin-hoh
Publisher UCAR/NCAR - Library
Publication Date 2010-10-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:26:18.558206
Metadata Record Identifier edu.ucar.opensky::articles:10344
Metadata Language eng; USA
Suggested Citation Catalano, Franco, Moeng, Chin-hoh. (2010). Large-eddy simulation of the daytime boundary layer in an idealized valley using the weather research and forecasting numerical model. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7zs2x0p. Accessed 21 July 2025.

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