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Discussion papers
https://doi.org/10.5194/acp-2018-1210
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2018-1210
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Jan 2019

Research article | 18 Jan 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

The impact of fluctuations and correlations in droplet growth by collision-coalescence revisited. Part II: Observational evidence of gel formation in warm clouds

Lester Allfonso1, Graciela B. Raga2, and Darrel Baumgardner3 Lester Allfonso et al.
  • 1Universidad Autónoma de la Ciudad de México, México City, 09790 México
  • 2Centro de Ciencias de la Atmósfera, UNAM, México City, 04510 México
  • 3Droplet Measurement Technologies, Boulder, CO, USA

Abstract. In recent papers (Alfonso et al., 2013; Alfonso and Raga, 2017) the sol-gel transition was proposed as a mechanism for the formation of large droplets required to trigger warm rain development in cumulus clouds. In the context of cloud physics, gelation can be interpreted as the formation of the lucky droplet that grows by accretion of smaller droplets at a much faster rate than the rest of the population and becomes the embryo for raindrops. However, all the results in this area have been theoretical or simulation studies. The aim of this paper is to find some observational evidence of gel formation in clouds by analyzing the distribution of the largest droplet at an early stage of cloud formation, and to show that the mass of the gel (largest drop) is a mixture of a Gaussian and a Gumbel distributions, in accordance with the pseudo-critical clustering scenario described in Gruyer et al. (2013) for nuclear multi-fragmentation.

Lester Allfonso et al.
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Lester Allfonso et al.
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Short summary
The aim of this paper is to find some observational evidence of gel formation in clouds by analyzing the distribution of the largest droplet at an early stage of cloud formation, and to show that the mass of the gel (largest drop) is a mixture of a Gaussian and a Gumbel distributions. The results obtained, may help advance the understanding of precipitation formation, and are a novel application of the theory of critical phenomena in cloud physics.
The aim of this paper is to find some observational evidence of gel formation in clouds by...
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