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

Steiner, Michael; Luo, Beiping; Peter, Thomas; Pitts, Michael C.; Stenke, Andrea

doi:https://doi.org/10.5194/gmd-14-935-2021

Articles | Volume 14, issue 2

https://doi.org/10.5194/gmd-14-935-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-935-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

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, Beiping Luo, Thomas Peter, Michael C. Pitts, and Andrea Stenke

Data sets

Simulation data for PSC evaluation of SOCOLv3 Andrea Stenke and Michael Steiner https://doi.org/10.3929/ethz-b-000406548

Model code and software

Scripts for the publication "Evaluation of polar stratospheric clouds in the global chemistry-climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements" Michael Steiner, Bei-Ping, Luo, Thomas Peter, Michael C. Pitts, and Andrea Stenke https://doi.org/10.5281/zenodo.4094663

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.