Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-12939-2020
https://doi.org/10.5194/acp-20-12939-2020
Research article
 | 
05 Nov 2020
Research article |  | 05 Nov 2020

Dependency of particle size distribution at dust emission on friction velocity and atmospheric boundary-layer stability

Yaping Shao, Jie Zhang, Masahide Ishizuka, Masao Mikami, John Leys, and Ning Huang

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Cited articles

Albani, S., Mahowald, N. M., Perry, A. T., Scanza, R. A., Zender, C. S., Heavens, N. G., Maggi, V., Kok, J. F., and Otto-Bliesner, B. L.: Improved dust representation in the Community Atmosphere Model. J. Adv. Model. Earth Sy., 6, 541–570, https://doi.org/10.1002/2013MS000279, 2014. 
Alfaro, S. C., Gaudichet, A., Gomes, L., and Maille, M.: Modeling the size distribution of a soil aerosol produced by sandblasting. J. Geophys. Res.-Atmos., 102, 11239–11249, https://doi.org/10.1029/97JD00403, 1997. 
Astrom, J. A.: Statistical models of brittle fragmentation. Adv. Phys., 55, 247–278, https://doi.org/10.1080 /00018730600731907, 2006. 
Businger, J. A., Wyngaard, J. C., Izumi, J., and Bradley, E. F.: Flux-Profile Relationships in the Atmospheric Surface Layer, J. Atmos. Sci., 28, 181–189, https://doi.org/10.1175/1520-0469(1971)028<0181:FPRITA>2.0.CO;2, 1971. 
Csanady, G. T.: Turbulent Diffusion of Heavy Particles in the Atmosphere, J. Atmos. Sci., 20, 201–208, https://doi.org/10.1175/1520-0469(1963)020<0201:TDOHPI>2.0.CO;2, 1963. 
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Short summary
It has been recognized in earlier research that particle size distribution of dust at emission (dust PSD) is dependent on friction velocity. This recognition has been challenged in some recent papers. Based on the analysis of experimental data, we confirm that dust PSD is dependent on friction velocity and atmospheric boundary-layer stability. By theoretical and numerical analysis, we reveal the reasons for this dependency.
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