Articles | Volume 11, issue 5
Geosci. Model Dev., 11, 1725–1752, 2018
https://doi.org/10.5194/gmd-11-1725-2018
Geosci. Model Dev., 11, 1725–1752, 2018
https://doi.org/10.5194/gmd-11-1725-2018

Development and technical paper 04 May 2018

Development and technical paper | 04 May 2018

Development of the WRF-CO2 4D-Var assimilation system v1.0

Tao Zheng et al.

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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 Tao Zheng on behalf of the Authors (07 Aug 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 Sep 2017) by Tomomichi Kato
RR by Anonymous Referee #2 (21 Sep 2017)
RR by Anonymous Referee #1 (28 Sep 2017)
ED: Reconsider after major revisions (05 Oct 2017) by Tomomichi Kato
AR by Tao Zheng on behalf of the Authors (25 Oct 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Nov 2017) by Tomomichi Kato
RR by Anonymous Referee #3 (22 Dec 2017)
ED: Reconsider after major revisions (19 Jan 2018) by Tomomichi Kato
AR by Tao Zheng on behalf of the Authors (28 Feb 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Mar 2018) by Tomomichi Kato
RR by Anonymous Referee #3 (02 Apr 2018)
ED: Publish as is (17 Apr 2018) by Tomomichi Kato
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Short summary
We developed WRF-CO2 4D-Var, a carbon dioxide data assimilation system based on the online atmospheric chemistry–transport model WRF-Chem. The accuracy of the model for sensitivity calculation and inverse modeling is assessed with pseudo-observation data. In this system, carbon dioxide is treated as an atmospheric tracer and its influence on meteorology is ignored. This system provides a useful model tool for regional-scale carbon source attribution and uncertainty assessment.