Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 2
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

Viewed

Total article views: 1,883 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,244 567 72 1,883 95 72
  • HTML: 1,244
  • PDF: 567
  • XML: 72
  • Total: 1,883
  • BibTeX: 95
  • EndNote: 72
Views and downloads (calculated since 24 Jun 2020)
Cumulative views and downloads (calculated since 24 Jun 2020)

Viewed (geographical distribution)

Total article views: 1,883 (including HTML, PDF, and XML) Thereof 1,723 with geography defined and 160 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
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.
Read more