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Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface
The droplet surface plays important roles in the interaction between organic aerosols with clouds and climate. Surface active organic compounds can partition to the droplet surface, depleting the solute from the droplet bulk or depressing the droplet surface tension. This may in turn affect the shap...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716451/ https://www.ncbi.nlm.nih.gov/pubmed/30398264 http://dx.doi.org/10.1039/c8em00345a |
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author | Lin, Jack J. Malila, Jussi Prisle, Nønne L. |
author_facet | Lin, Jack J. Malila, Jussi Prisle, Nønne L. |
author_sort | Lin, Jack J. |
collection | PubMed |
description | The droplet surface plays important roles in the interaction between organic aerosols with clouds and climate. Surface active organic compounds can partition to the droplet surface, depleting the solute from the droplet bulk or depressing the droplet surface tension. This may in turn affect the shape of the droplet growth curve, threshold of aerosol activation into cloud droplets, activated droplet size distributions, and cloud radiative effects. In this work, a new monolayer model along with a traditional Gibbs adsorption isotherm model was used in conjunction with equilibrium Köhler theory to predict cloud condensation nuclei (CCN) activation of both simple and complex surface active model aerosol systems. For the surface active aerosol considered, the monolayer droplet model produces similar results to the Gibbs model as well as comparable results to CCN measurements from the literature, even for systems where specific molecular identities and aqueous properties are unknown. The monolayer model is self-contained and fully prognostic, and provides a versatile, conceptually simple, yet physically based model for understanding the role of organic surfactants in cloud droplet formation. |
format | Online Article Text |
id | pubmed-6716451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-67164512019-09-05 Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface Lin, Jack J. Malila, Jussi Prisle, Nønne L. J Environ Monit Chemistry The droplet surface plays important roles in the interaction between organic aerosols with clouds and climate. Surface active organic compounds can partition to the droplet surface, depleting the solute from the droplet bulk or depressing the droplet surface tension. This may in turn affect the shape of the droplet growth curve, threshold of aerosol activation into cloud droplets, activated droplet size distributions, and cloud radiative effects. In this work, a new monolayer model along with a traditional Gibbs adsorption isotherm model was used in conjunction with equilibrium Köhler theory to predict cloud condensation nuclei (CCN) activation of both simple and complex surface active model aerosol systems. For the surface active aerosol considered, the monolayer droplet model produces similar results to the Gibbs model as well as comparable results to CCN measurements from the literature, even for systems where specific molecular identities and aqueous properties are unknown. The monolayer model is self-contained and fully prognostic, and provides a versatile, conceptually simple, yet physically based model for understanding the role of organic surfactants in cloud droplet formation. Royal Society of Chemistry 2018-11-01 2018-10-10 /pmc/articles/PMC6716451/ /pubmed/30398264 http://dx.doi.org/10.1039/c8em00345a Text en This journal is © The Royal Society of Chemistry 2018 http://creativecommons.org/licenses/by/3.0/ This article is freely available. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (CC BY 3.0) |
spellingShingle | Chemistry Lin, Jack J. Malila, Jussi Prisle, Nønne L. Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface |
title | Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface
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title_full | Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface
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title_fullStr | Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface
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title_full_unstemmed | Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface
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title_short | Cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface
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title_sort | cloud droplet activation of organic–salt mixtures predicted from two model treatments of the droplet surface |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716451/ https://www.ncbi.nlm.nih.gov/pubmed/30398264 http://dx.doi.org/10.1039/c8em00345a |
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