Articles | Volume 20, issue 9
Atmos. Chem. Phys., 20, 5837–5859, 2020
https://doi.org/10.5194/acp-20-5837-2020
Atmos. Chem. Phys., 20, 5837–5859, 2020
https://doi.org/10.5194/acp-20-5837-2020

Research article 15 May 2020

Research article | 15 May 2020

Simulating age of air and the distribution of SF6 in the stratosphere with the SILAM model

Rostislav Kouznetsov et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (14 Jan 2020)  Author's response
ED: Referee Nomination & Report Request started (02 Feb 2020) by Peter Haynes
RR by Anonymous Referee #2 (17 Feb 2020)
RR by Anonymous Referee #3 (18 Feb 2020)
RR by Anonymous Referee #4 (18 Feb 2020)
ED: Publish subject to minor revisions (review by editor) (22 Feb 2020) by Peter Haynes
AR by Anna Mirena Feist-Polner on behalf of the Authors (06 Mar 2020)  Author's response
ED: Publish subject to minor revisions (review by editor) (21 Mar 2020) by Peter Haynes
AR by Rostislav Kouznetsov on behalf of the Authors (26 Mar 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (08 Apr 2020) by Peter Haynes
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Short summary
Estimates of the age of stratospheric air (AoA), its distribution, and trends, obtained by different experimental methods, differ among each other. AoA derived form MIPAS satellite observations, the richest observational dataset on sulfur hexafluoride (SF6) in the stratosphere, are a clear outlier. With multi-decade simulations of AoA and SF6 in the stratosphere, we show that the origin of the discrepancy is in a methodology of deriving AoA from observations rather than in observational data.
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