Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-14879-2022
© Author(s) 2022. 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-22-14879-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report
| 
23 Nov 2022
Measurement report |
| 23 Nov 2022
| 23 Nov 2022
Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain
Rui Zhang
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Zhanqing Li
State Key Laboratory of Remote-Sensing Science, College of Global
Change and Earth System Science, Beijing Normal University, Beijing 100875,
China
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, Maryland 20740, USA
Zhibin Wang
Research Center for Air Pollution and Health, College of
Environmental and Resource Science, Zhejiang University, Hangzhou 310058,
China
Russell R. Dickerson
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, Maryland 20740, USA
Xinrong Ren
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, Maryland 20740, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, Maryland 20740, USA
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, Maryland 20740, USA
Fei Wang
Key Laboratory for Cloud Physics, Chinese Academy of Meteorological
Sciences, Beijing 100081, China
Ying Gao
School of Atmospheric Sciences, Nanjing University, Nanjing 210008,
China
Xi Chen
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Jialu Xu
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Yafang Cheng
Minerva Research Group, Max Planck Institute for Chemistry, 55128
Mainz, Germany
Multiphase Chemistry Department, Max Planck Institute for
Chemistry, 55128 Mainz, Germany
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Cited
10 citations as recorded by crossref.
- A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements G. Choudhury & M. Tesche 10.5194/essd-15-3747-2023
- Comparative Analysis of Aerosol Vertical Characteristics over the North China Plain Based on Multi-Source Observation Data F. Wang et al. 10.3390/rs16040609
- Aircraft observations of aerosols during a haze pollution in the North China Plain: Spatial-temporal distribution, vertical distribution and physicochemical characteristics Y. Chen et al. 10.1016/j.atmosres.2025.108493
- Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations S. Zhang et al. 10.3390/rs15051216
- Vertical Profiles of Particle Number Size Distribution and Variation Characteristics at the Eastern Slope of the Tibetan Plateau C. Shu et al. 10.3390/rs15225363
- Long-term spatiotemporal features of aerosol optical characteristics and relative humidity in China’s offshore areas J. He et al. 10.1080/10095020.2024.2447445
- Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration N. Wang et al. 10.1038/s41612-025-01181-y
- Source Apportionment of Cloud Nuclei at 260 m and Ground Level in Urban Beijing S. Jiang et al. 10.1029/2022JD038339
- Ozone Pollution in the North China Plain during the 2016 Air Chemistry Research in Asia (ARIAs) Campaign: Observations and a Modeling Study H. He et al. 10.3390/air2020011
- High CCN activation of south Asian outflow observed at the water vapor channel of the southeastern Tibetan plateau J. Xu et al. 10.1016/j.atmosenv.2025.121453
10 citations as recorded by crossref.
- A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements G. Choudhury & M. Tesche 10.5194/essd-15-3747-2023
- Comparative Analysis of Aerosol Vertical Characteristics over the North China Plain Based on Multi-Source Observation Data F. Wang et al. 10.3390/rs16040609
- Aircraft observations of aerosols during a haze pollution in the North China Plain: Spatial-temporal distribution, vertical distribution and physicochemical characteristics Y. Chen et al. 10.1016/j.atmosres.2025.108493
- Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations S. Zhang et al. 10.3390/rs15051216
- Vertical Profiles of Particle Number Size Distribution and Variation Characteristics at the Eastern Slope of the Tibetan Plateau C. Shu et al. 10.3390/rs15225363
- Long-term spatiotemporal features of aerosol optical characteristics and relative humidity in China’s offshore areas J. He et al. 10.1080/10095020.2024.2447445
- Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration N. Wang et al. 10.1038/s41612-025-01181-y
- Source Apportionment of Cloud Nuclei at 260 m and Ground Level in Urban Beijing S. Jiang et al. 10.1029/2022JD038339
- Ozone Pollution in the North China Plain during the 2016 Air Chemistry Research in Asia (ARIAs) Campaign: Observations and a Modeling Study H. He et al. 10.3390/air2020011
- High CCN activation of south Asian outflow observed at the water vapor channel of the southeastern Tibetan plateau J. Xu et al. 10.1016/j.atmosenv.2025.121453
Latest update: 30 Oct 2025
Short summary
Factors of cloud condensation nuclei number concentration (NCCN) profiles determined in the North China Plain include air mass sources, temperature structure, anthropogenic emissions, and terrain distribution. Cloud condensation nuclei (CCN) spectra suggest that the ability of aerosol activation into CCN is stronger in southeasterly than in northwesterly air masses and stronger in the free atmosphere than near the surface. A good method to parameterize NCCN from aerosol optical data is found.
Factors of cloud condensation nuclei number concentration (NCCN) profiles determined in the...
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