Articles | Volume 15, issue 23
Geosci. Model Dev., 15, 8731–8748, 2022
https://doi.org/10.5194/gmd-15-8731-2022
Geosci. Model Dev., 15, 8731–8748, 2022
https://doi.org/10.5194/gmd-15-8731-2022
Development and technical paper
01 Dec 2022
Development and technical paper | 01 Dec 2022

Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)

Randall V. Martin et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-42', Anonymous Referee #1, 24 Mar 2022
  • RC2: 'Comment on gmd-2022-42', Mathew Evans, 16 Jul 2022
  • AC1: 'Comment on gmd-2022-42', Randall V. Martin, 04 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Randall V. Martin on behalf of the Authors (05 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (06 Sep 2022) by Juan Antonio Añel
RR by Anonymous Referee #1 (07 Sep 2022)
ED: Publish subject to minor revisions (review by editor) (13 Sep 2022) by Juan Antonio Añel
AR by Randall V. Martin on behalf of the Authors (22 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (26 Sep 2022) by Juan Antonio Añel
AR by Randall V. Martin on behalf of the Authors (05 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (20 Oct 2022) by Juan Antonio Añel
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Short summary
Atmospheric chemistry models must be able to operate both online as components of Earth system models and offline as standalone models. The widely used GEOS-Chem model operates both online and offline, but the classic offline version is not suitable for massively parallel simulations. We describe a new generation of the offline high-performance GEOS-Chem (GCHP) that enables high-resolution simulations on thousands of cores, including on the cloud, with improved access, performance, and accuracy.