4.4 Article

The formation of snow streamers in the turbulent atmosphere boundary layer

Journal

AEOLIAN RESEARCH
Volume 23, Issue -, Pages 1-10

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.aeolia.2016.09.002

Keywords

Drifting snow; Large Eddy Simulation (LES); Turbulent boundary layer; Snow streamers

Funding

  1. State Key Program of National Natural Science Foundation of China [91325203]
  2. National Natural Science Foundation of China [41371034]
  3. Innovative Research Group of the National Natural Science Foundation of China [11421062]
  4. Fundamental Research Funds for the Central Universities [lzujbky-2015-237, 862166]

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The drifting snow in the turbulent atmosphere boundary layer is an important type of aeolian multiphase flow. Current theoretical and numerical studies of drifting snow mostly consider the flow field as steady wind velocity. Whereas, little is known about the effects of turbulent wind structures on saltating snow particles. In this paper, a 3-D drifting snow model based on Large Eddy Simulation is established, in which the trajectory of every snow grain is calculated and the coupling effect between wind field and snow particles is considered. The results indicate that the saltating snow particles are reorganized by the suction effect of high-speed rotating vortexes, which results in the local convergence of particle concentration, known as snow streamers. The turbulent wind leads to the spatial non-uniform of snow particles lifted by aerodynamic entrainment, but this does not affect the formation of snow streamers. Whereas the stochastic grain-bed interactions make a great contribution to the final shapes of snow streamers. Generally, snow streamers display a characteristic length about 0.5 m and a characteristic width of approximately 0.16 m, and their characteristic sizes are not sensitive to the wind speed. Compared to the typical sand streamer, snow streamer is slightly narrower and the occurrence of other complex streamer patterns is later than that of sand streamers due to the better follow performance of snow grains with air flow. (C) 2016 Elsevier B.V. All rights reserved.

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