Application of dynamic subgrid-scale models for large-eddy simulation of the 
daytime convective boundary layer over heterogeneous surfaces

Huang, H. Y.; Stevens, B.; Margulis, S. A.

doi:10.1007/s10546-007-9239-9

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Application of dynamic subgrid-scale models for large-eddy simulation of the daytime convective boundary layer over heterogeneous surfaces

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Stevens, B.
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles;
External Author, MPI for Meteorology, Max Planck Society;

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Citation

Huang, H. Y., Stevens, B., & Margulis, S. A. (2008). Application of dynamic subgrid-scale models for large-eddy simulation of the daytime convective boundary layer over heterogeneous surfaces. Boundary-Layer Meteorology, 126, 327-348. doi:10.1007/s10546-007-9239-9.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-71AC-A

Abstract

The sensitivity of large-eddy simulation (LES) to the representation of
subgrid-scale (SGS) processes is explored for the case of the convective boundary layer
(CBL) developing over surfaces with varying degrees of spatial heterogeneity. Three rep-
resentations of SGS processes are explored: the traditional constant Smagorinsky–Lilly
model and two other dynamic models with Lagrangian averaging approaches to calculate the
Smagorinsky coefﬁcient (CS) and SGS Prandtl number (Pr). With initial data based roughly
on the observed meteorology, simulations of daytime CBL growth are performed over sur-
faces with characteristics (i.e. ﬂuxes and roughness) ranging from homogeneous, to striped
heterogeneity, to a realistic representation of heterogeneity as derived from a recent ﬁeld
study. In both idealized tests and the realistic case, SGS sensitivities are mostly manifest
near the surface and entrainment zone. However, unlike simulations over complex domains
or under neutral or stable conditions, these differences for the CBL simulation, where large
eddies dominate, are not significant enough to distinguish the performance of the different
SGS models, irrespective of surface heterogeneity.