Large-eddy simulation of radiation fog with comprehensive two-moment bulk microphysics: Impact of different aerosol activation and condensation parameterizations

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Schwenkel, Johannes; Maronga, Björn: Large-eddy simulation of radiation fog with comprehensive two-moment bulk microphysics: Impact of different aerosol activation and condensation parameterizations. In: Atmospheric Chemistry and Physics 2018 (2018), S. 7165-7181. DOI: https://doi.org/10.5194/acp-2018-1139

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Sum total of downloads: 108




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Abstract: 
In this paper we study the influence of the cloud microphysical parameterization on large-eddy simulations of radiation fog. A deep fog case as observed at Cabauw (Netherlands) is investigated using high-resolution large-eddy simulations with different microphysics treatments for activation and diffusional growth. A comparison of the results indicates that the commonly applied assumption of saturation adjustment produces at maximum 6.9 % higher liquid water paths compared to the explicit diffusional growth method but has no significant influence on the general life cycle of the fog layer. Differences are found to be the most pronounced at the top of the fog layer where the highest supersaturations occurs. Furthermore, the effect of different cloud droplet number concentrations is investigated by using a selection of common activation schemes. We find, in line with previous studies, a positive feedback between the cloud droplet number concentration and both the optical thickness and the strength of the fog layer. Furthermore, we perform an explicit analysis of the budgets of microphysical quantities in order to assess which processes have the largest spatial and temporal influence on the development of the fog layer.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 48 44.44%
2 image of flag of United States United States 30 27.78%
3 image of flag of China China 11 10.19%
4 image of flag of France France 4 3.70%
5 image of flag of India India 3 2.78%
6 image of flag of Portugal Portugal 2 1.85%
7 image of flag of Italy Italy 1 0.93%
8 image of flag of Ireland Ireland 1 0.93%
9 image of flag of Indonesia Indonesia 1 0.93%
10 image of flag of Canada Canada 1 0.93%
    other countries 6 5.56%

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