Articles | Volume 23, issue 18
https://doi.org/10.5194/acp-23-10713-2023
https://doi.org/10.5194/acp-23-10713-2023
Research article
 | 
27 Sep 2023
Research article |  | 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

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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 
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Short summary
New particle formation is an important source of atmospheric particles, exerting critical influences on global climate. Numerical models are vital tools to understanding atmospheric particle evolution, which, however, suffer from large biases in simulating particle numbers. Here we improve the model chemical processes governing particle sizes and compositions. The improved model reveals substantial contributions of newly formed particles to climate through effects on cloud condensation nuclei.
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