Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6907-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-6907-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Using different assumptions of aerosol mixing state and chemical composition to predict CCN concentrations based on field measurements in urban Beijing
Jingye Ren
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Yuying Wang
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Don Collins
Department of Atmospheric Sciences, Texas A & M University, College Station, TX, USA
Xinxin Fan
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Xiaoai Jin
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Weiqi Xu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
University of Chinese Academy of Sciences, Beijing 100049, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
University of Chinese Academy of Sciences, Beijing 100049, China
Maureen Cribb
Earth System Science Interdisciplinary Center and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
Zhanqing Li
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Earth System Science Interdisciplinary Center and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
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- Seasonal variation of particle hygroscopicity and its impact on cloud-condensation nucleus activation in the Beijing urban area S. Zhang et al. 10.1016/j.atmosenv.2023.119728
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- Source Apportionment of Cloud Nuclei at 260 m and Ground Level in Urban Beijing S. Jiang et al. 10.1029/2022JD038339
- Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations B. Schulze et al. 10.1029/2020EA001098
- Activation properties of aerosol particles as cloud condensation nuclei at urban and high-altitude remote sites in southern Europe F. Rejano et al. 10.1016/j.scitotenv.2020.143100
- Evaluation of the contribution of new particle formation to cloud droplet number concentration in the urban atmosphere S. Jiang et al. 10.5194/acp-21-14293-2021
- Cloud Condensation Nuclei Closure Study Using Airborne Measurements Over the Southern Great Plains G. Kulkarni et al. 10.1029/2022JD037964
- A Large Impact of Cooking Organic Aerosol (COA) on Particle Hygroscopicity and CCN Activity in Urban Atmosphere J. Liu et al. 10.1029/2020JD033628
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- Role of Aerosol Physicochemical Properties on Aerosol Hygroscopicity and Cloud Condensation Nuclei Activity in a Tropical Coastal Atmosphere A. T. C. et al. 10.1021/acsearthspacechem.2c00044
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- The large proportion of black carbon (BC)-containing aerosols in the urban atmosphere L. Chen et al. 10.1016/j.envpol.2020.114507
- Predicting cloud condensation nuclei number concentration based on conventional measurements of aerosol properties in the North China Plain Y. Zhang et al. 10.1016/j.scitotenv.2020.137473
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- The effect of black carbon aging from NO2 oxidation of SO2 on its morphology, optical and hygroscopic properties F. Zhang et al. 10.1016/j.envres.2022.113238
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