a new downscaling method for sub-grid turbulence modeling
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2017
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Abstract
In this
study we explore a new way to model sub-grid turbulence using particle
systems. The ability of particle systems to model small-scale turbulence is
evaluated using high-resolution numerical simulations. These high-resolution
data are averaged to produce a coarse-grid velocity field, which is then used
to drive a complete particle-system-based downscaling. Wind fluctuations and
turbulent kinetic energy are compared between the particle simulations and
the high-resolution simulation. Despite the simplicity of the physical model
used to drive the particles, the results show that the particle system is
able to represent the average field. It is shown that this system is able to
reproduce much finer turbulent structures than the numerical high-resolution
simulations. In addition, this study provides an estimate of the effective
spatial and temporal resolution of the numerical models. This highlights the
need for higher-resolution simulations in order to evaluate the very fine
turbulent structures predicted by the particle systems. Finally, a study of
the influence of the forcing scale on the particle system is presented.
| Reference Key |
rottner2017atmospherica
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|---|---|
| Authors | ;L. Rottner;C. Baehr;F. Couvreux;G. Canut;T. Rieutord |
| Journal | Journal of agricultural and food chemistry |
| Year | 2017 |
| DOI |
10.5194/acp-17-6531-2017
|
| URL | |
| Keywords |
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