Articles | Volume 14, issue 6
Geosci. Model Dev., 14, 3383–3406, 2021
https://doi.org/10.5194/gmd-14-3383-2021
Geosci. Model Dev., 14, 3383–3406, 2021
https://doi.org/10.5194/gmd-14-3383-2021

Model description paper 07 Jun 2021

Model description paper | 07 Jun 2021

Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0

Guillaume Monteil and Marko Scholze

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Interactive discussion

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 G. Monteil on behalf of the Authors (18 Sep 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Sep 2020) by Tomomichi Kato
RR by Anonymous Referee #3 (21 Oct 2020)
RR by Anonymous Referee #4 (11 Dec 2020)
ED: Reconsider after major revisions (14 Dec 2020) by Tomomichi Kato
AR by G. Monteil on behalf of the Authors (03 Feb 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (12 Feb 2021) by Tomomichi Kato
RR by Anonymous Referee #4 (28 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (04 Mar 2021) by Tomomichi Kato
AR by G. Monteil on behalf of the Authors (19 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (23 Apr 2021) by Tomomichi Kato
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Short summary
LUMIA is a Python library for atmospheric inversions, originally developed at Lund University to perform regional atmospheric CO2 inversions. The inversions rely on coupling the regional transport model FLEXPART and the global transport model TM5. The paper presents the modeling setup and some first results, and it introduces the LUMIA Python package as a toolbox for inversions beyond the use case presented in the paper.