The route to raindrop formation in a shallow cumulus cloud simulated by a Lagrangian cloud model

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Hoffmann, F.; Noh, Y.; Raasch, S.: The route to raindrop formation in a shallow cumulus cloud simulated by a Lagrangian cloud model. In: Journal of the Atmospheric Sciences 74 (2017), Nr. 7, S. 2125-2142. DOI: https://doi.org/10.1175/JAS-D-16-0220.1

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Sum total of downloads: 74




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Abstract: 
The mechanism of raindrop formation in a shallow cumulus cloud is investigated using a Lagrangian cloud model (LCM). The analysis is focused on how and under which conditions a cloud droplet grows to a raindrop by tracking the history of individual Lagrangian droplets. It is found that the rapid collisional growth, leading to raindrop formation, is triggered when single droplets with a radius of 20 μm appear in the region near the cloud top, characterized by large liquid water content, strong turbulence, large mean droplet size, broad drop size distribution (DSD), and high supersaturations. Raindrop formation easily occurs when turbulence-induced collision enhancement (TICE) is considered, with or without any extra broadening of the DSD by another mechanism (such as entrainment and mixing). In contrast, when TICE is not considered, raindrop formation is severely delayed if no other broadening mechanism is active. The reason for the difference is clarified by the additional analysis of idealized box simulations of the collisional growth process for different DSDs in varied turbulent environments. It is found that TICE does not accelerate the timing of the raindrop formation for individual droplets, but it enhances the collisional growth rate significantly afterward by providing a greater number of large droplets for collision. Higher droplet concentrations increase the time for raindrop formation and decrease precipitation but intensify the effect of TICE. Copyright 2017 American Meteorological Society
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of United States United States 22 29.73%
2 image of flag of Germany Germany 21 28.38%
3 image of flag of Korea, Republic of Korea, Republic of 9 12.16%
4 image of flag of China China 8 10.81%
5 image of flag of Canada Canada 2 2.70%
6 image of flag of Taiwan Taiwan 1 1.35%
7 image of flag of Sweden Sweden 1 1.35%
8 image of flag of Russian Federation Russian Federation 1 1.35%
9 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 1 1.35%
10 image of flag of Brazil Brazil 1 1.35%
    other countries 7 9.46%

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