The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds

Alfonso, Lester; Raga, Graciela B.; Baumgardner, Darrel

doi:https://doi.org/10.5194/acp-19-14917-2019

Articles | Volume 19, issue 23

https://doi.org/10.5194/acp-19-14917-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-14917-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 23

Research article

|

10 Dec 2019

Research article |

| 10 Dec 2019

The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds

Lester Alfonso, Graciela B. Raga, and Darrel Baumgardner

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Final revised paper (published on 10 Dec 2019)
Preprint (discussion started on 18 Jan 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Interactive comment on “The impact of fluctuations and correlations in droplet growth by collision-coalescence revisited. Part II: Observational evidence of gel formation in warm clouds” by Lester Allfonso et al.', Anonymous Referee #1, 14 Feb 2019
- AC1: 'Reply to Referee', Lester Alfonso, 08 Apr 2019
RC2: 'Is frequency distribution of largest droplet an evidence of gel formation in warm clouds?', Anonymous Referee #2, 30 Aug 2019
- AC2: 'Reply to second Reviewer', Lester Alfonso, 26 Sep 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Lester Alfonso on behalf of the Authors (30 Sep 2019) Author's response Manuscript

ED: Publish as is (11 Nov 2019) by Sachin S. Gunthe

AR by Lester Alfonso on behalf of the Authors (18 Nov 2019)

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 (lucky droplet) is a mixture of Gaussian and 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.