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Verification of Eddy-Viscosity Models in the Planetary Boundary LayerInvestigators
AcknowledgmentWe gratefully acknowledge the collaboration of Dr. Gabriel Katul of Duke University who contribute equipment. Introduction
There are many different types of SGS models currently in use in LES codes for atmospheric flows. Eddy-viscosity models are one of the most popular models. For many decades, the correctness of eddy-viscosity models have been in question. Speziale (1991) pointed out that the Eddy-viscosity models have two major problems. First, they are purely dissipative and hence cannot account for Reynolds-stress relaxation effects. Second, the models predict isotropy of the normal stresses and, therefore, cannot describe Reynolds-stress driven secondary motion in three-dimensional flows. In the last three decades, most of the verification work has been done in laboratory experiments such as Tucker (1968) and Champagne (1970). Liu, Meneveau and Katz (1994) found that the correlation coefficients of the real stresses and the rates of strain were shown to be very small ( 0.15), implying that locally the eddy-viscosity closures perform poorly. This research uses arrays of sonic anemometers to verify the eddy-viscosity models in the Planetary Boundary Layer. The data were obtained from 6 sonic anemometers in two-row arrangements in a uniform field of mowed alfalfa in Amana, Iowa. The Reynolds stresses and the rates of strain can be calculated directly from the measurements. Taylor's hypothesis was employed to convert the spatial derivatives from time derivatives for the rates of strain in the dominant wind direction. The results were shown in the following. Experiment
The reasons to perform the verification work using field data are that: (1) Atmospheric turbulence is characterized by high Reynold numbers which are difficult to generate in the laboratory; (2) The thermal convection (atmospheric stability) has a strong effect in the atmospheric turbulence which can not be observed in experiments using a wind tunnel. Eddy-Viscosity ModelsFor Newtonian fluid with constant properties, the equation of motion can be expressed in the following equation which is the famous Navier-Stokes Equation
By substituting the Reynolds Decomposition
and
into Eq. (1) and taking the average of the equation, we can obtain the Reynolds-averaged Navier-Stokes Equation (RANS) for turbulent flow
Comparing Eq. (1) and Eq. (2), we can see that there is one additional
term in the RANS equation. This term adds six more unknowns ( For decades, people have tried to solve the closure problem by many different methods. One of the popular method is turbulence modeling. Smagorinsky (1963) suggested an eddy-viscosity model to simulate the Reynolds stress by rate of strain which is
where d ij is the Kronecker delta. For the shear Reynolds stress components (i ¹ j),
where
e is the turbulent kinetic energy (TKE), and l is a characteristic length scale. This length scale is often assumed to be (or proportional to) the effective grid spacing l = D s º (D xD yD z)1/3, where D s is the grid length scale. Deardorff (1980) proposed a stability correction to l that when ¶ q /¶ z > 0
if ls < D s Eq. (6) was given by Deardorff without any observational or theoretical basis. The coefficient 0.76 is purely empirical. Results and Discussions
From the preliminary results, we have not observed any strong relationship between the real stress and strain-rate as expected from the models. Two possibilities: (1) The models can not totally represent the relationship between the Reynolds stress and the rate of strain. Most models wide used in different fields have not been tested by the physical experiment data. Some of them are purely empirical. (2) There are some uncertainties in the data needed to eliminate before the data analysis performed. The sensor array technique is proposed by Tong (1997). Many assumptions, for example, Taylor hypothesis and the homogeneity and isotropy of the atmospheric turbulence, have been employed to the theory because of the physical limitations of the experiment. The highly random nature of the atmosphere also increases the difficulty in the data analysis. Therefore, some data quality control techniques need to be used in the future analysis to assure the results. Conclusions and Future Work
(2) Even the correlation coefficients between the real stress and strain are low. It is early to conclude that there is no relationship between the Reynolds stress and the rate of strain. The first task now is to estimate the uncertainty in the data. Further analysis such as testing the Taylor Hypothesis and the isotropy of turbulence will be performed in the future work. (3) The long-term objective for this research is to model the SGS flux by using the resolved-scale quantities based on the field data. More data are required to accomplish this work. It is planned to perform a similar experiment in Davis, California in May, 1999. A new setup shown on the right-hand-side will be employed in the experiment. ReferencesChampagne, F. H., Harris, V. G., and Corrsin, S. 1970: Experiments on Nearly Homogeneous Turbulent Shear Flow. J. Fluid Mech., 41, 81-139. Deardorff, J. W., 1980: Stratocumulus-capped Mixed Layers Derived From a Three-domensional Model. Bound.-Layer Meteor., 18, 495-527. Liu, S., Meneveau, C., and Katz, J., 1994: On the Properties of Similarity Subgrid-scale Models as Deduced From Measurements in a Turbulent Jet. J. Fluid Mech., 275, 83-119. Smagorinsky, J., 1963: General Circulation Experiments with the Primitive Equations, I. The Basic Experiment. Mon. Weath. Rev. 91, 99-164. Speziale, C. G., 1991: Analytical Methods for the Development of Reynolds-stress Closures in Turbulence. Annu. Rev. Fluid Mech., 23, 107-157. Tong, C., Wyngaard, J. C., Khanna, S., and Brasseur, J. G., 1997: Resolvable- and Subgrid-scale Measurement in the Atmospheric Surface Layer: Technique and Issues. J. Atmos. Sci., Preprint. Tucker, H. J., and Reynolds, A. J., 1968: The Distortion of Turbulence by Irrotational Plane Strain. J. Fluid Mech., 32, 657-673. |
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