The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds
<p>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 o...
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doaj-89170bedb33044aab133918edf5363b92020-11-25T01:15:27ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-12-0119149171493210.5194/acp-19-14917-2019The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm cloudsL. Alfonso0G. B. Raga1D. Baumgardner2Universidad Autónoma de la Ciudad de México, Mexico City, 09790, MexicoCentro de Ciencias de la Atmósfera, UNAM, Mexico City, 04510, MexicoDroplet Measurement Technologies, Boulder, CO, USA<p>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 distribution and a Gumbel distribution, in accordance with the pseudo-critical clustering scenario described in Gruyer et al. (2013) for nuclear multi-fragmentation.</p>https://www.atmos-chem-phys.net/19/14917/2019/acp-19-14917-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
L. Alfonso G. B. Raga D. Baumgardner |
spellingShingle |
L. Alfonso G. B. Raga D. Baumgardner The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds Atmospheric Chemistry and Physics |
author_facet |
L. Alfonso G. B. Raga D. Baumgardner |
author_sort |
L. Alfonso |
title |
The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds |
title_short |
The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds |
title_full |
The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds |
title_fullStr |
The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds |
title_full_unstemmed |
The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds |
title_sort |
impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – part 2: observational evidence of gel formation in warm clouds |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2019-12-01 |
description |
<p>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 distribution and a Gumbel
distribution, in accordance with the pseudo-critical clustering scenario
described in Gruyer et al. (2013) for nuclear multi-fragmentation.</p> |
url |
https://www.atmos-chem-phys.net/19/14917/2019/acp-19-14917-2019.pdf |
work_keys_str_mv |
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