Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics

Abstract Atmospheric aerosol particles acting as cloud condensation nuclei (CCN) are key elements in the hydrological cycle and climate. To improve our understanding of the activation characteristics of CCN and to obtain accurate predictions of their concentrations, a long-term field campaign was ca...

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Autores principales:	H. C. Che, X. Y. Zhang, L. Zhang, Y. Q. Wang, Y. M. Zhang, X. J. Shen, Q. L. Ma, J. Y. Sun, J. T. Zhong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/61711b3b79d3436fa68bc74ed17f4a12
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spelling	oai:doaj.org-article:61711b3b79d3436fa68bc74ed17f4a122021-12-02T15:06:13ZPrediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics10.1038/s41598-017-05998-32045-2322https://doaj.org/article/61711b3b79d3436fa68bc74ed17f4a122017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05998-3https://doaj.org/toc/2045-2322Abstract Atmospheric aerosol particles acting as cloud condensation nuclei (CCN) are key elements in the hydrological cycle and climate. To improve our understanding of the activation characteristics of CCN and to obtain accurate predictions of their concentrations, a long-term field campaign was carried out in the Yangtze River Delta, China. The results indicated that the CCN were easier to activate in this relatively polluted rural station than in clean (e.g., the Amazon region) or dusty (e.g., Kanpur-spring) locations, but were harder to activate than in more polluted urban areas (e.g., Beijing). An improved method, using two additional parameters—the maximum activation fraction and the degree of heterogeneity, is proposed to predict the accurate, size-resolved concentration of CCN. The value ranges and prediction uncertainties of these parameters were evaluated. The CCN predicted using this improved method with size-resolved chemical compositions under an assumption that all particles were internally mixed showed the best agreement with the long-term field measurements.H. C. CheX. Y. ZhangL. ZhangY. Q. WangY. M. ZhangX. J. ShenQ. L. MaJ. Y. SunJ. T. ZhongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q H. C. Che X. Y. Zhang L. Zhang Y. Q. Wang Y. M. Zhang X. J. Shen Q. L. Ma J. Y. Sun J. T. Zhong Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics
description	Abstract Atmospheric aerosol particles acting as cloud condensation nuclei (CCN) are key elements in the hydrological cycle and climate. To improve our understanding of the activation characteristics of CCN and to obtain accurate predictions of their concentrations, a long-term field campaign was carried out in the Yangtze River Delta, China. The results indicated that the CCN were easier to activate in this relatively polluted rural station than in clean (e.g., the Amazon region) or dusty (e.g., Kanpur-spring) locations, but were harder to activate than in more polluted urban areas (e.g., Beijing). An improved method, using two additional parameters—the maximum activation fraction and the degree of heterogeneity, is proposed to predict the accurate, size-resolved concentration of CCN. The value ranges and prediction uncertainties of these parameters were evaluated. The CCN predicted using this improved method with size-resolved chemical compositions under an assumption that all particles were internally mixed showed the best agreement with the long-term field measurements.
format	article
author	H. C. Che X. Y. Zhang L. Zhang Y. Q. Wang Y. M. Zhang X. J. Shen Q. L. Ma J. Y. Sun J. T. Zhong
author_facet	H. C. Che X. Y. Zhang L. Zhang Y. Q. Wang Y. M. Zhang X. J. Shen Q. L. Ma J. Y. Sun J. T. Zhong
author_sort	H. C. Che
title	Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics
title_short	Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics
title_full	Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics
title_fullStr	Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics
title_full_unstemmed	Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics
title_sort	prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/61711b3b79d3436fa68bc74ed17f4a12
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Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics

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