Large Eddy Simulation on Dust Suspension in a Convective Mixed Layer

Ito, Junshi; Niino, Hiroshi; Nakanishi, Mikio

doi:10.2151/sola.2010-034

Cited by 14 publications

(15 citation statements)

References 22 publications

(29 reference statements)

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“…The focus of Michaels (2006) was on the formation of dust devil tracks though -and not on the dust emission fluxes generated by dust devils. This was more the focus of Ito et al (2010a), who included dust lifting in their LES model by using the empirical formulation of Loosmore and Hunt (2000). According to this formulation, dust emission is proportional to friction velocity, u * .…”

Section: Dust Particlesmentioning

confidence: 99%

Large-Eddy Simulations of Dust Devils and Convective Vortices

Spiga

Barth

et al. 2016

Space Sci Rev

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International audienceIn this review, we address the use of numerical computations called Large-Eddy Simulations (LES) to study dust devils, and the more general class of atmospheric phenomena they belong to (convec-tive vortices). We describe the main elements of the LES methodology. We review the properties, statistics, and variability of dust devils and convective vortices resolved by LES in both terrestrial and Martian environments. The current challenges faced by modelers using LES for dust devils are also discussed i

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Section: Dust Particlesmentioning

confidence: 99%

Large-Eddy Simulations of Dust Devils and Convective Vortices

Spiga

Barth

et al. 2016

Space Sci Rev

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“…From the modeling perspective, very few studies have focused on CTDE. Ito et al [] conducted large‐eddy simulations (LES) and used the empirical relation of Loosmore and Hunt [] to estimate CTDE. Descamps et al [] introduced a pavement model in which the temporal evolution of the surface particle size distribution is considered.…”

Section: Introductionmentioning

confidence: 99%

Further development of a parameterization for convective turbulent dust emission and evaluation based on field observations

Klose

Shao

et al. 2014

JGR Atmospheres

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Further developments of a parameterization scheme for convective turbulent dust emission (CTDE) are presented. The scheme is advanced by including (1) a new statistical description of instantaneous momentum flux, (2) a correction function for cohesive force to account for the effect of soil moisture, and (3) a correction function for lifting force to consider the effect of vegetation roughness elements. The probability density function describing instantaneous momentum flux is now derived from large-eddy simulations for different atmospheric stabilities. The vegetation correction function is based on a drag partition theory. Additional improvements on the representations of interparticle cohesive force and particle size distribution are introduced. The new CTDE scheme is tested against the field data obtained at a sand storm monitoring station in the Horqin Sandy Land in China in 2011 and during the Japan-Australia Dust Experiment in Australia in 2006.

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“…The driving parameters in their approach are friction velocity and temperature drop near the surface. Ito et al (2010) carried out a large-eddy simulation (LES) to estimate convective dust emission. They considered a particle size range from 1 to 10 µm and computed the dust fluxes according to Loosmore and Hunt (2000).…”

Section: Introductionmentioning

confidence: 99%

Stochastic parameterization of dust emission and application to convective atmospheric conditions

Klose

Shao

2012

Atmos. Chem. Phys.

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Abstract. We develop a parameterization scheme of convective dust emission for regional and global atmospheric models. Convective dust emission occurs in the absence of saltation as large eddies intermittently produce strong shear stresses on the surface and entrain dust particles into the air. This dust emission mechanism has not been included in the traditional dust models. The scheme presented in this study is a new approach which takes account of the stochastic nature of convective dust emission. It consists of the statistical representations of soil particle size, inter-particle cohesion, and instantaneous surface shear stress. A method of determining the probability density function of the latter quantity is proposed. Dust emission is then estimated from the overlap of the probability density functions of the aerodynamic lifting and inter-particle cohesive forces. The new scheme is implemented into the WRF/Chem model and applied to dust modeling in the Taklimakan Desert. A comparison with lidar data shows that the model can reproduce the main features of the dust patterns and their diurnal variations. For the case studied, convective dust emission is typically several µg m −2 s −1 and at times up to 50 µg m −2 s −1 .

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Large Eddy Simulation on Dust Suspension in a Convective Mixed Layer

Cited by 14 publications

References 22 publications

Large-Eddy Simulations of Dust Devils and Convective Vortices

Large-Eddy Simulations of Dust Devils and Convective Vortices

Further development of a parameterization for convective turbulent dust emission and evaluation based on field observations

Stochastic parameterization of dust emission and application to convective atmospheric conditions

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