Articles | Volume 16, issue 19
https://doi.org/10.5194/acp-16-12441-2016
https://doi.org/10.5194/acp-16-12441-2016
Research article
 | 
05 Oct 2016
Research article |  | 05 Oct 2016

Reynolds-number dependence of turbulence enhancement on collision growth

Ryo Onishi and Axel Seifert

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Cited articles

Abrahamson, J.: Collision rates of small particles in a vigorously turbulent fluid, Chem. Eng. Sci., 30, 1371–1379, 1975.
Ayala, O., Grabowski, W. W., and Wang, L.-P.: A hybrid approach for simulating turbulent collisions of hydrodynamically-interacting particles, J. Comput. Phys., 225, 51–73, 2007.
Ayala, O., Rosa, B., and Wang, L.-P.: Effects of turbulence on the geometric collision rate of sedimenting droplets. Part 2. Theory and parameterization, New J. Phys., 10, 075016, https://doi.org/10.1088/1367-2630/10/7/075016, 2008a.
Ayala, O., Rosa, B., Wang, L.-P., and Grabowski, W. W.: Effects of turbulence on the geometric collision rate of sedimenting droplets. Part 1. Results from direct numerical simulation, New J. Phys., 10, 075015, https://doi.org/10.1088/1367-2630/10/7/075015, 2008b.
Blyth, A. M.: Entrainment in cumulus clouds, J. Appl. Meteorol., 32, 626–641, 1993.
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Short summary
This study includes massively parallel simulation results on droplet collisions in turbulence. The attained maximum Taylor-microscale-based Reynolds number (Re) exceeds 103, which steps into the typical range (O(103)–O(104)) of observed Re in turbulent clouds. The results clearly show that the Re dependence of turbulence enhancement on droplet collision growth is relevant for cloud microphysics modeling. This will promote the discussion on the Re dependence of turbulent collision statistics.
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