Articles | Volume 21, issue 18
https://doi.org/10.5194/acp-21-14059-2021
https://doi.org/10.5194/acp-21-14059-2021
Research article
 | 
22 Sep 2021
Research article |  | 22 Sep 2021

Two- and three-dimensional structures of the descent of mesospheric trace constituents after the 2013 sudden stratospheric warming elevated stratopause event

David E. Siskind, V. Lynn Harvey, Fabrizio Sassi, John P. McCormack, Cora E. Randall, Mark E. Hervig, and Scott M. Bailey

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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-2021-68', Anonymous Referee #1, 24 Mar 2021
    • AC1: 'Reply on RC1', David Siskind, 02 Jun 2021
  • RC2: 'Comment on acp-2021-68', Anonymous Referee #2, 31 Mar 2021
    • AC2: 'Reply on RC2', David Siskind, 02 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by David Siskind on behalf of the Authors (03 Jun 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (04 Jun 2021) by Bernd Funke
RR by Anonymous Referee #2 (24 Jun 2021)
RR by Anonymous Referee #1 (13 Jul 2021)
ED: Publish subject to minor revisions (review by editor) (21 Jul 2021) by Bernd Funke
AR by David Siskind on behalf of the Authors (22 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (25 Jul 2021) by Bernd Funke
AR by David Siskind on behalf of the Authors (04 Aug 2021)  Manuscript 
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Short summary
General circulation models have had a very difficult time simulating the descent of nitric oxide through the polar mesosphere to the stratosphere. Here, we present results suggesting that, with the proper specification of middle atmospheric meteorology, the simulation of this process can be greatly improved. Despite differences in the detailed geographic morphology of the model NO as compared with satellite data, we show that the overall abundance is likely in good agreement with the data.
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