Preprints
https://doi.org/10.5194/egusphere-2023-381
https://doi.org/10.5194/egusphere-2023-381
28 Mar 2023
 | 28 Mar 2023

Substantially positive contributions of new particle formation to Cloud Condensation Nuclei under low supersaturation in China based on numerical model improvements

Chupeng Zhang, Shangfei Hai, Yang Gao, Yuhang Wang, Shaoqing Zhang, Lifang Sheng, Bin Zhao, Shuxiao Wang, Jingkun Jiang, Xin Huang, Aura Lupascu, Manish Shrivastava, Jerome D. Fast, Wenxuan Cheng, Xiuwen Guo, Ming Chu, Nan Ma, Juan Hong, Qiaoqiao Wang, Xiaohong Yao, and Huiwang Gao

Abstract. New particle formation (NPF) and subsequent particle growth are important sources of condensation nuclei (CN) and cloud condensation nuclei (CCN). While a number of observations have shown positive contributions of NPF to CCN at low supersaturation, negative NPF contributions were often simulated. Using the observations in a typical coastal city of Qingdao, we thoroughly evaluate the simulated number concentrations of CN and CCN using a NPF-explicit parameterization embedded in WRF-Chem model. In terms of CN, the initial simulation shows large biases of particle number concentrations at 10–40 nm (CN10–40) and 40–100 nm (CN40–100). By adjusting the process of gas-particle partitioning, including mass accommodation coefficient of sulfuric acid, the phase changes of primary organic aerosol emissions and the condensational amount of nitric acid, the concomitant improvement of the particle growth process yields a substantial reduction of overestimates of CN10–40 and CN40–100. Regarding CCN, SOA formed from the oxidation of semi-volatile and intermediate volatility organic vapors (SI-SOA) yield is an important contributor. In the original WRF-Chem model with 20 size bins setting, the yield of SI-SOA is too high without considering the differences in oxidation rates of the precursors. Lowering the SI-SOA yield results in much improved simulations of the observed CCN concentrations. On the basis of the bias-corrected model, we find substantial positive contributions of NPF to CCN at low supersaturation (~0.2 %) in Qingdao and over the broad areas of China, primarily due to the competing effects of increasing particle hygroscopicity surpassing that of particle size decrease. This study highlights the potentially much larger NPF contributions to CCN on a regional and even global basis.

Journal article(s) based on this preprint

27 Sep 2023
Substantially positive contributions of new particle formation to cloud condensation nuclei under low supersaturation in China based on numerical model improvements
Chupeng Zhang, Shangfei Hai, Yang Gao, Yuhang Wang, Shaoqing Zhang, Lifang Sheng, Bin Zhao, Shuxiao Wang, Jingkun Jiang, Xin Huang, Xiaojing Shen, Junying Sun, Aura Lupascu, Manish Shrivastava, Jerome D. Fast, Wenxuan Cheng, Xiuwen Guo, Ming Chu, Nan Ma, Juan Hong, Qiaoqiao Wang, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 23, 10713–10730, https://doi.org/10.5194/acp-23-10713-2023,https://doi.org/10.5194/acp-23-10713-2023, 2023
Short summary

Chupeng 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-2023-381', Anonymous Referee #3, 20 Apr 2023
    • AC3: 'Reply on Reviewer 3 (RC1)', Yang Gao, 25 Jul 2023
  • RC2: 'Comment on egusphere-2023-381', Anonymous Referee #1, 21 Apr 2023
    • AC1: 'Reply on RC2', Yang Gao, 25 Jul 2023
  • RC3: 'Comment on egusphere-2023-381', Anonymous Referee #2, 06 May 2023
    • AC2: 'Reply on Reviewer 2 (RC3)', Yang Gao, 25 Jul 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-381', Anonymous Referee #3, 20 Apr 2023
    • AC3: 'Reply on Reviewer 3 (RC1)', Yang Gao, 25 Jul 2023
  • RC2: 'Comment on egusphere-2023-381', Anonymous Referee #1, 21 Apr 2023
    • AC1: 'Reply on RC2', Yang Gao, 25 Jul 2023
  • RC3: 'Comment on egusphere-2023-381', Anonymous Referee #2, 06 May 2023
    • AC2: 'Reply on Reviewer 2 (RC3)', Yang Gao, 25 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yang Gao on behalf of the Authors (25 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Jul 2023) by Zhibin Wang
RR by Anonymous Referee #1 (09 Aug 2023)
RR by Anonymous Referee #3 (09 Aug 2023)
RR by Anonymous Referee #2 (13 Aug 2023)
ED: Publish subject to minor revisions (review by editor) (16 Aug 2023) by Zhibin Wang
AR by Yang Gao on behalf of the Authors (17 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Aug 2023) by Zhibin Wang
AR by Yang Gao on behalf of the Authors (23 Aug 2023)  Manuscript 

Journal article(s) based on this preprint

27 Sep 2023
Substantially positive contributions of new particle formation to cloud condensation nuclei under low supersaturation in China based on numerical model improvements
Chupeng Zhang, Shangfei Hai, Yang Gao, Yuhang Wang, Shaoqing Zhang, Lifang Sheng, Bin Zhao, Shuxiao Wang, Jingkun Jiang, Xin Huang, Xiaojing Shen, Junying Sun, Aura Lupascu, Manish Shrivastava, Jerome D. Fast, Wenxuan Cheng, Xiuwen Guo, Ming Chu, Nan Ma, Juan Hong, Qiaoqiao Wang, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 23, 10713–10730, https://doi.org/10.5194/acp-23-10713-2023,https://doi.org/10.5194/acp-23-10713-2023, 2023
Short summary

Chupeng 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
New particle formation is one of the important sources of atmospheric particles, exerting critical influences on global climate. Numerical models are vital tools for understanding the evolution of atmospheric particles, however, their usefulness may be large discounted due to the existence of model biases. In this study, we first improve the model behavior through parametrization adjustments. Utilizing the improved model, we find substantial contributions of newly formed particles on climate.