Articles | Volume 13, issue 5
Geosci. Model Dev., 13, 2475–2486, 2020
https://doi.org/10.5194/gmd-13-2475-2020
Geosci. Model Dev., 13, 2475–2486, 2020
https://doi.org/10.5194/gmd-13-2475-2020

Development and technical paper 28 May 2020

Development and technical paper | 28 May 2020

An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0

Lu Shen et al.

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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 (30 Jan 2020)  Author's response
ED: Referee Nomination & Report Request started (07 Feb 2020) by Christoph Knote
RR by Anonymous Referee #2 (17 Feb 2020)
RR by Mathew Evans (21 Feb 2020)
ED: Reconsider after major revisions (24 Feb 2020) by Christoph Knote
AR by Lorena Grabowski on behalf of the Authors (03 Apr 2020)  Author's response
ED: Referee Nomination & Report Request started (03 Apr 2020) by Christoph Knote
RR by Anonymous Referee #2 (17 Apr 2020)
ED: Publish as is (17 Apr 2020) by Christoph Knote
Short summary
Chemical mechanisms in air quality models tend to get more complicated with time, reflecting both increasing knowledge and the need for greater scope. This objectively improves the models but increases the computational burden. In this work, we present an approach that can reduce the computational cost of chemical integration by 30–40 % while maintaining an accuracy better than 1 %. It retains the complexity of the full mechanism where it is needed and preserves full diagnostic information.