Articles | Volume 22, issue 11
Atmos. Chem. Phys., 22, 7461–7487, 2022
https://doi.org/10.5194/acp-22-7461-2022
Atmos. Chem. Phys., 22, 7461–7487, 2022
https://doi.org/10.5194/acp-22-7461-2022
Research article
10 Jun 2022
Research article | 10 Jun 2022

Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 2: Sensitivity to dry-deposition parameterizations

Min Huang et al.

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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 acp-2021-1068', Anonymous Referee #1, 17 Feb 2022
  • RC2: 'Comment on acp-2021-1068', Anonymous Referee #2, 17 Feb 2022
  • AC1: 'Author response to reviews', Min Huang, 14 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Min Huang on behalf of the Authors (19 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Apr 2022) by Farahnaz Khosrawi
RR by Anonymous Referee #2 (12 May 2022)
ED: Publish subject to technical corrections (13 May 2022) by Farahnaz Khosrawi
AR by Min Huang on behalf of the Authors (20 May 2022)  Author's response    Manuscript
Short summary
This study demonstrates that ozone dry-deposition modeling can be improved by revising the model's dry-deposition parameterizations to better represent the effects of environmental conditions including the soil moisture fields. Applying satellite soil moisture data assimilation is shown to also have added value. Such advancements in coupled modeling and data assimilation can benefit the assessments of ozone impacts on human and vegetation health.
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