Preprints
https://doi.org/10.5194/egusphere-2022-375
https://doi.org/10.5194/egusphere-2022-375
 
30 May 2022
30 May 2022

Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain

Rui Zhang1, Yuying Wang1, Zhanqing Li2,3, Zhibin Wang4, Russell R. Dickerson3, Xinrong Ren3, Hao He3, Fei Wang5, Ying Gao6, Xi Chen1, Jialu Xu1, Yafang Cheng7, and Hang Su8 Rui Zhang et al.
  • 1Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
  • 3Earth System Science Interdisciplinary Center, Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
  • 4Research Center for Air Pollution and Health, College of Environmental and Resource Science, Zhejiang University, Hangzhou 310058, China
  • 5Key Laboratory for Cloud Physics, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
  • 6School of Atmospheric Sciences, Nanjing University, Nanjing 210008, China
  • 7Minerva Research Group, Max Planck Institute for Chemistry, 55128 Mainz, Germany
  • 8Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany

Abstract. To better understand the characteristics of aerosol activation ability and optical properties, a comprehensive airborne campaign was implemented over the North China Plain (NCP) from May 8 to June 11, 2016. Vertical profiles of cloud condensation nuclei (CCN) number concentration (NCCN) and aerosol optical properties were measured simultaneously. Seventy-two-hour air mass back trajectories show that during the campaign the measurement region is mainly influenced by air masses in northwest and southeast. Air mass sources, temperature structure, anthropogenic emissions, and terrain distribution are factors influencing NCCN profiles. CCN spectra suggest that the ability of aerosol activation into CCN is stronger in southeast air masses than in northwest air masses and stronger in the free atmosphere than near the surface. Vertical distributions of aerosol scattering Ångström exponent (SAE) indicate that aerosols near the surface mainly originate from primary emissions consisting of more fine particles. The combined effect of aerosol lifting aloft and long-distance transport increase SAE and make it vary more in the free troposphere than near the surface. For parameterizing NCCN, the equation NCCN = 10β ∙ σγ is used to fit the relationship between NCCN and the aerosol scattering coefficient (σ) at 450 nm. The fitting parameters β and γ have linear relationships with the SAE. Empirical estimates of NCCN at 0.7% water vapor supersaturation (ss) from aerosol optical properties are thus retrieved for the two air masses: NCCN = 10-0.22∙SAE+2.39 ∙ σ0.30∙SAE+0.29 for northwest air masses and NCCN =10-0.07∙SAE+2.29 ∙ σ0.14∙SAE+0.28 for southeast air masses. The estimated NCCN at 0.7 % ss agrees with that measured, although the performance differs between low and high concentrations in the two air masses. The results highlight the important impact of aerosol sources on the empirical estimate of NCCN from aerosol optical properties.

Journal article(s) based on this preprint

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, Yuying Wang, Zhanqing Li, Zhibin Wang, Russell R. Dickerson, Xinrong Ren, Hao He, Fei Wang, Ying Gao, Xi Chen, Jialu Xu, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 22, 14879–14891, https://doi.org/10.5194/acp-22-14879-2022,https://doi.org/10.5194/acp-22-14879-2022, 2022
Short summary

Rui Zhang et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-375', Anonymous Referee #1, 13 Jun 2022
  • RC2: 'Comment on egusphere-2022-375', Anonymous Referee #2, 13 Aug 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-375', Anonymous Referee #1, 13 Jun 2022
  • RC2: 'Comment on egusphere-2022-375', Anonymous Referee #2, 13 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yuying Wang on behalf of the Authors (24 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Sep 2022) by Matthias Tesche
RR by Anonymous Referee #2 (29 Oct 2022)
ED: Publish as is (02 Nov 2022) by Matthias Tesche

Journal article(s) based on this preprint

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, Yuying Wang, Zhanqing Li, Zhibin Wang, Russell R. Dickerson, Xinrong Ren, Hao He, Fei Wang, Ying Gao, Xi Chen, Jialu Xu, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 22, 14879–14891, https://doi.org/10.5194/acp-22-14879-2022,https://doi.org/10.5194/acp-22-14879-2022, 2022
Short summary

Rui Zhang et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
In this study, the factors to NCCN profiles are determined in the NCP, including air mass sources, temperature structure, anthropogenic emissions, and terrain distribution. CCN spectra suggest that the ability of aerosol activation into CCN is stronger in southeast air masses than in northwest air masses and stronger in the free atmosphere than near the surface. A good method to parameterize NCCN from aerosol optical data is found.