Articles | Volume 23, issue 7
https://doi.org/10.5194/acp-23-4327-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-4327-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Apr 2023
Research article |
| 12 Apr 2023
| 12 Apr 2023
The density of ambient black carbon retrieved by a new method: implications for cloud condensation nuclei prediction
Jingye Ren
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Shenzhen Key Laboratory of Organic Pollution Prevention and Control, School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), 518055 Shenzhen, China
Lu Chen
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Jieyao Liu
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Shenzhen Key Laboratory of Organic Pollution Prevention and Control, School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), 518055 Shenzhen, China
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Short summary
The density of black carbon (BC) is linked to its morphology and mixing state and could cause uncertainty in evaluating cloud condensation nuclei (CCN) activity. A method for retrieving the mixing state and density of BC in the urban atmosphere is developed. The mean retrieval density of internally mixed BC was lower, assuming void-free spherical structures. Our study suggests the importance of accounting for variable BC density in models when assessing its climate effect in urban atmosphere.
The density of black carbon (BC) is linked to its morphology and mixing state and could cause...
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