Articles | Volume 24, issue 3
https://doi.org/10.5194/acp-24-1717-2024
https://doi.org/10.5194/acp-24-1717-2024
Research article
 | 
07 Feb 2024
Research article |  | 07 Feb 2024

Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations

Huisheng Bian, Mian Chin, Peter R. Colarco, Eric C. Apel, Donald R. Blake, Karl Froyd, Rebecca S. Hornbrook, Jose Jimenez, Pedro Campuzano Jost, Michael Lawler, Mingxu Liu, Marianne Tronstad Lund, Hitoshi Matsui, Benjamin A. Nault, Joyce E. Penner, Andrew W. Rollins, Gregory Schill, Ragnhild B. Skeie, Hailong Wang, Lu Xu, Kai Zhang, and Jialei Zhu

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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-2023-1966', Anonymous Referee #1, 12 Oct 2023
  • RC2: 'Comment on egusphere-2023-1966 tagging method', Anonymous Referee #2, 13 Oct 2023
  • RC3: 'Comment on egusphere-2023-1966', Anonymous Referee #3, 23 Oct 2023
  • AC1: 'Reply to Comment on egusphere-2023-1966', Huisheng Bian, 05 Dec 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Huisheng Bian on behalf of the Authors (09 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (18 Dec 2023) by Barbara Ervens
AR by Huisheng Bian on behalf of the Authors (20 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (22 Dec 2023) by Barbara Ervens
AR by Huisheng Bian on behalf of the Authors (29 Dec 2023)
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Short summary
This work studies sulfur in the remote troposphere at global and seasonal scales using aircraft measurements and multi-model simulations. The goal is to understand the sulfur cycle over remote oceans, spread of model simulations, and observation–model discrepancies. Such an understanding and comparison with real observations are crucial to narrow down the uncertainties in model sulfur simulations and improve understanding of the sulfur cycle in atmospheric air quality, climate, and ecosystems.
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