Large eddy simulation of the upper atmospheric surface layer

The von Karmãn constant (k) and the Monin-Obukhov similarity formulation occupy very important positions in the theoretical framework of the atmospheric surface layer (ASL). Measurements, however, provide a great scatter in their estimates mainly because the requirements of neutrality (only for esti...

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Main Author: Cai, Xiaoming
Format: Others
Language:English
Published: 2008
Online Access:http://hdl.handle.net/2429/2102
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spelling ndltd-UBC-oai-circle.library.ubc.ca-2429-21022018-01-05T17:30:47Z Large eddy simulation of the upper atmospheric surface layer Cai, Xiaoming The von Karmãn constant (k) and the Monin-Obukhov similarity formulation occupy very important positions in the theoretical framework of the atmospheric surface layer (ASL). Measurements, however, provide a great scatter in their estimates mainly because the requirements of neutrality (only for estimate of tc), stationarity and horizontal homogeneity in the real atmospheric boundary layer (ABL) are hardly achieved. Therefore, a long-time dispute over the value of the von Karman constant applicable in the neutral-static-stability ABL has not been settled yet; another controversy concerns the form of the universal Monin-Obukhov similarity functions in very unstable conditions. A numerical tool, three-dimensional large eddy simulation (LES), is adopted to simulate turbulence in the ABL, with a fine resolution in the ASL, so that an "a priori value” of the von }Carman constant and the Monin-Obukhov similarity formulas can be derived from the resolved-scale turbulence in the upper surface layer (USL). Only an ideal geometry, flat but rough surface, is treated. Horizontal homogeneity of all dependent mean variables is assumed except the mean pressure, which is the driving mechanism of the whole turbulent boundary layer due to the geostrophic flow aloft. Smagorinsky's sub grid scale (SGS) model is adopted. In the present study, the Smagorinsky-model Reynolds number (Resm) is proposed for a LES adopting the Smagorinsky SGS model. This number is shown to be an independent model parameter, which determines the statistics of resolved scale (RS) turbulence in the USL. If Resm is smaller than a critical value, RS fields are damped out. This fact establishes a criterion for a LES adopting the Smagorinsky SGS model. For a neutral-static-stability ABL, the present study uses grid spacings that fall within the inertial sub range of the USL turbulence in order to follow the assumption of the Smagorinsky SGS model. Other specifications of grid spacing are also used to show the influence of grid spacing and validity of &sm. The largest computation involves 64 x 64 x 50 grids. The average of the velocity fields over the whole horizontal plane and time domain yields a logarithmic velocity profile in the USL, from which the von Kãrman constant can be derived. The value of IC found in the study ranges from 0.17 to 0.35, depending on the value of Resm when the domain size and the Ross by number are fixed. Other quantities in the USL, such as profiles of (l2)/u, (432)/n2, (ti.52)/n2, _(ti))/n*2 and—(i)/u, also exhibit a very strong dependence on Resm. For an unstable ABL, in which an additional turbulent sensible heat flux is imposed on the surface, profiles of the mean velocity in the USL yield a Monin-Obukhov similarity formula for the dimensionless momentum flux. For —5 < zIL < —1, where L is the Monin-Obukhov length, the formula gives smaller values of 077,(z/L) than existing empirical formulas, but close to Carl et al.'s —1/3 power law (1973). LES results of o-o/T*,, fit the empirical similarity formulas fairly well, and derive a power law exponent of about —0.4, which is smaller than —1/3. Similarity results for uti-,/u* in the USL has also been examined. Science, Faculty of Mathematics, Department of Graduate 2008-09-16T21:28:57Z 2008-09-16T21:28:57Z 1993 1993-11 Text Thesis/Dissertation http://hdl.handle.net/2429/2102 eng For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. 7924636 bytes application/pdf
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description The von Karmãn constant (k) and the Monin-Obukhov similarity formulation occupy very important positions in the theoretical framework of the atmospheric surface layer (ASL). Measurements, however, provide a great scatter in their estimates mainly because the requirements of neutrality (only for estimate of tc), stationarity and horizontal homogeneity in the real atmospheric boundary layer (ABL) are hardly achieved. Therefore, a long-time dispute over the value of the von Karman constant applicable in the neutral-static-stability ABL has not been settled yet; another controversy concerns the form of the universal Monin-Obukhov similarity functions in very unstable conditions. A numerical tool, three-dimensional large eddy simulation (LES), is adopted to simulate turbulence in the ABL, with a fine resolution in the ASL, so that an "a priori value” of the von }Carman constant and the Monin-Obukhov similarity formulas can be derived from the resolved-scale turbulence in the upper surface layer (USL). Only an ideal geometry, flat but rough surface, is treated. Horizontal homogeneity of all dependent mean variables is assumed except the mean pressure, which is the driving mechanism of the whole turbulent boundary layer due to the geostrophic flow aloft. Smagorinsky's sub grid scale (SGS) model is adopted. In the present study, the Smagorinsky-model Reynolds number (Resm) is proposed for a LES adopting the Smagorinsky SGS model. This number is shown to be an independent model parameter, which determines the statistics of resolved scale (RS) turbulence in the USL. If Resm is smaller than a critical value, RS fields are damped out. This fact establishes a criterion for a LES adopting the Smagorinsky SGS model. For a neutral-static-stability ABL, the present study uses grid spacings that fall within the inertial sub range of the USL turbulence in order to follow the assumption of the Smagorinsky SGS model. Other specifications of grid spacing are also used to show the influence of grid spacing and validity of &sm. The largest computation involves 64 x 64 x 50 grids. The average of the velocity fields over the whole horizontal plane and time domain yields a logarithmic velocity profile in the USL, from which the von Kãrman constant can be derived. The value of IC found in the study ranges from 0.17 to 0.35, depending on the value of Resm when the domain size and the Ross by number are fixed. Other quantities in the USL, such as profiles of (l2)/u, (432)/n2, (ti.52)/n2, _(ti))/n*2 and—(i)/u, also exhibit a very strong dependence on Resm. For an unstable ABL, in which an additional turbulent sensible heat flux is imposed on the surface, profiles of the mean velocity in the USL yield a Monin-Obukhov similarity formula for the dimensionless momentum flux. For —5 < zIL < —1, where L is the Monin-Obukhov length, the formula gives smaller values of 077,(z/L) than existing empirical formulas, but close to Carl et al.'s —1/3 power law (1973). LES results of o-o/T*,, fit the empirical similarity formulas fairly well, and derive a power law exponent of about —0.4, which is smaller than —1/3. Similarity results for uti-,/u* in the USL has also been examined. === Science, Faculty of === Mathematics, Department of === Graduate
author Cai, Xiaoming
spellingShingle Cai, Xiaoming
Large eddy simulation of the upper atmospheric surface layer
author_facet Cai, Xiaoming
author_sort Cai, Xiaoming
title Large eddy simulation of the upper atmospheric surface layer
title_short Large eddy simulation of the upper atmospheric surface layer
title_full Large eddy simulation of the upper atmospheric surface layer
title_fullStr Large eddy simulation of the upper atmospheric surface layer
title_full_unstemmed Large eddy simulation of the upper atmospheric surface layer
title_sort large eddy simulation of the upper atmospheric surface layer
publishDate 2008
url http://hdl.handle.net/2429/2102
work_keys_str_mv AT caixiaoming largeeddysimulationoftheupperatmosphericsurfacelayer
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