Articles | Volume 15, issue 11
https://doi.org/10.5194/gmd-15-4555-2022
https://doi.org/10.5194/gmd-15-4555-2022
Development and technical paper
 | 
14 Jun 2022
Development and technical paper |  | 14 Jun 2022

Order of magnitude wall time improvement of variational methane inversions by physical parallelization: a demonstration using TM5-4DVAR

Sudhanshu Pandey, Sander Houweling, and Arjo Segers

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2021-339', Juan Antonio Añel, 19 Nov 2021
    • AC1: 'Reply on CEC1', Sudhanshu Pandey, 06 Mar 2022
  • RC1: 'Comment on gmd-2021-339', Anonymous Referee #1, 02 Dec 2021
    • AC2: 'Author response to the reviewer comments', Sudhanshu Pandey, 06 Mar 2022
  • RC2: 'Comment on gmd-2021-339', Anonymous Referee #2, 07 Dec 2021
    • AC2: 'Author response to the reviewer comments', Sudhanshu Pandey, 06 Mar 2022
  • RC3: 'Comment on gmd-2021-339', Anonymous Referee #3, 12 Dec 2021
    • AC2: 'Author response to the reviewer comments', Sudhanshu Pandey, 06 Mar 2022
  • AC2: 'Author response to the reviewer comments', Sudhanshu Pandey, 06 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Sudhanshu Pandey on behalf of the Authors (06 Mar 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Mar 2022) by Slimane Bekki
RR by Anonymous Referee #2 (21 Mar 2022)
RR by Anonymous Referee #3 (22 Mar 2022)
RR by Anonymous Referee #1 (23 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (30 Mar 2022) by Slimane Bekki
AR by Sudhanshu Pandey on behalf of the Authors (12 Apr 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 May 2022) by Slimane Bekki
AR by Sudhanshu Pandey on behalf of the Authors (13 May 2022)
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Short summary
Inversions are used to calculate methane emissions using atmospheric mole-fraction measurements. Multidecadal inversions are needed to extract information from the long measurement records of methane. However, multidecadal inversion computations can take months to finish. Here, we demonstrate an order of magnitude improvement in wall clock time for an iterative multidecadal inversion by physical parallelization of chemical transport model.