Articles | Volume 21, issue 12
Atmos. Chem. Phys., 21, 9545–9572, 2021
https://doi.org/10.5194/acp-21-9545-2021
Atmos. Chem. Phys., 21, 9545–9572, 2021
https://doi.org/10.5194/acp-21-9545-2021

Research article 24 Jun 2021

Research article | 24 Jun 2021

Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation

Ilya Stanevich et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dylan Jones on behalf of the Authors (03 Dec 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Jan 2021) by Patrick Jöckel
RR by Anonymous Referee #3 (15 Jan 2021)
RR by Anonymous Referee #2 (18 Jan 2021)
ED: Publish subject to minor revisions (review by editor) (18 Jan 2021) by Patrick Jöckel
AR by Dylan Jones on behalf of the Authors (01 Feb 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 Feb 2021) by Patrick Jöckel
Download
Short summary
We explore the utility of a weak-constraint (WC) four-dimensional variational (4D-Var) data assimilation scheme for mitigating systematic errors in methane simulation in the GEOS-Chem model. We use data from the Greenhouse Gases Observing Satellite (GOSAT) and show that, compared to the traditional 4D-Var approach, the WC scheme improves the agreement between the model and independent observations. We find that the WC corrections to the model provide insight into the source of the errors.
Altmetrics
Final-revised paper
Preprint