Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1521-2017
https://doi.org/10.5194/gmd-10-1521-2017
Model evaluation paper
 | 
13 Apr 2017
Model evaluation paper |  | 13 Apr 2017

Collection/aggregation algorithms in Lagrangian cloud microphysical models: rigorous evaluation in box model simulations

Simon Unterstrasser, Fabian Hoffmann, and Marion Lerch

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Cited articles

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Andrejczuk, M., Reisner, J. M., Henson, B., Dubey, M. K., and Jeffery, C. A.: The potential impacts of pollution on a nondrizzling stratus deck: Does aerosol number matter more than type?, J. Geophys. Res., 113, D19204, https://doi.org/10.1029/2007JD009445, 2008.
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Andrejczuk, M., Gadian, A., and Blyth, A.: Stratocumulus over SouthEast Pacific: Idealized 2D simulations with the Lagrangian Cloud Model, ArXiv e-prints, 1211.0193v1 [physics.ao-ph], 2012.
Arabas, S. and Shima, S.-I.: Large-Eddy Simulations of Trade Wind Cumuli Using Particle-Based Microphysics with Monte Carlo Coalescence, J. Atmos. Sci., 70, 2768–2777, https://doi.org/10.1175/JAS-D-12-0295.1, 2013.
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Short summary
In the last decade, several Lagrangian microphysical models (LCMs) have been developed which use a large number of (computational) particles to represent a cloud. In particular, the collision process leading to coalescence of cloud droplets or aggregation of ice crystals is implemented differently in various models. Three existing implementations are reviewed and extended, and their performance is evaluated by a comparison with well established analytical and bin model solutions.
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