Articles | Volume 14, issue 2
Geosci. Model Dev., 14, 935–959, 2021
https://doi.org/10.5194/gmd-14-935-2021
Geosci. Model Dev., 14, 935–959, 2021
https://doi.org/10.5194/gmd-14-935-2021

Model evaluation paper 12 Feb 2021

Model evaluation paper | 12 Feb 2021

Evaluation of polar stratospheric clouds in the global chemistry–climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements

Michael Steiner et al.

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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 Michael Steiner on behalf of the Authors (04 Dec 2020)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (22 Dec 2020) by Graham Mann
AR by Michael Steiner on behalf of the Authors (23 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (02 Jan 2021) by Graham Mann
AR by Michael Steiner on behalf of the Authors (08 Jan 2021)  Author's response    Manuscript
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Short summary
We evaluate polar stratospheric clouds (PSCs) as simulated by the chemistry–climate model (CCM) SOCOLv3.1 in comparison with measurements by the CALIPSO satellite. A cold bias results in an overestimated PSC area and mountain-wave ice is underestimated, but we find overall good temporal and spatial agreement of PSC occurrence and composition. This work confirms previous studies indicating that simplified PSC schemes may also achieve good approximations of the fundamental properties of PSCs.