Articles | Volume 14, issue 5
Geosci. Model Dev., 14, 2939–2957, 2021
https://doi.org/10.5194/gmd-14-2939-2021
Geosci. Model Dev., 14, 2939–2957, 2021
https://doi.org/10.5194/gmd-14-2939-2021

Model description paper 26 May 2021

Model description paper | 26 May 2021

Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019

Audrey Fortems-Cheiney 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 Lorena Grabowski on behalf of the Authors (06 May 2020)  Author's response
ED: Referee Nomination & Report Request started (26 May 2020) by Ignacio Pisso
RR by Anonymous Referee #1 (01 Jun 2020)
RR by Anonymous Referee #3 (27 Jun 2020)
ED: Reconsider after major revisions (08 Jul 2020) by Ignacio Pisso
AR by Katja Gänger on behalf of the Authors (30 Oct 2020)  Author's response
ED: Referee Nomination & Report Request started (25 Nov 2020) by Ignacio Pisso
RR by Anonymous Referee #1 (26 Nov 2020)
ED: Reconsider after major revisions (04 Dec 2020) by Ignacio Pisso
AR by Audrey Fortems-Cheiney on behalf of the Authors (08 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (27 Jan 2021) by Ignacio Pisso
RR by Anonymous Referee #1 (27 Jan 2021)
ED: Publish subject to minor revisions (review by editor) (27 Jan 2021) by Ignacio Pisso
AR by Audrey Fortems-Cheiney on behalf of the Authors (28 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (25 Feb 2021) by Ignacio Pisso
AR by Audrey Fortems-Cheiney on behalf of the Authors (03 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (23 Mar 2021) by Ignacio Pisso
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Short summary
Up-to-date and accurate emission inventories for air pollutants are essential for understanding their role in the formation of tropospheric ozone and particulate matter, for anticipating pollution peaks and for identifying the key drivers that could help mitigate their emissions. Complementarily with bottom-up inventories, the system described here aims at updating and improving the knowledge on the high spatiotemporal variability of emissions of air pollutants.