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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number5819
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - 1 Dec 2017
Externally publishedYes

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