Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 12, issue 2
Articles | Volume 12, issue 2
https://doi.org/10.5194/gmd-12-829-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-829-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 2
Methods for assessment of models
 | 
22 Feb 2019
Methods for assessment of models |  | 22 Feb 2019

The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

Salomon Eliasson, Karl Göran Karlsson, Erik van Meijgaard, Jan Fokke Meirink, Martin Stengel, and Ulrika Willén

Viewed

Total article views: 3,000 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,199 723 78 3,000 89 67
  • HTML: 2,199
  • PDF: 723
  • XML: 78
  • Total: 3,000
  • BibTeX: 89
  • EndNote: 67
Views and downloads (calculated since 18 Oct 2018)
Cumulative views and downloads (calculated since 18 Oct 2018)

Viewed (geographical distribution)

Total article views: 3,000 (including HTML, PDF, and XML) Thereof 2,728 with geography defined and 272 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
Short summary
To enable fair comparisons of clouds between climate models and the ESA Cloud_cci climate data record (CDR), we present a tool called the Cloud_cci simulator. The tool takes into account the geometry and cloud detection capabilities of the Cloud_cci CDR to allow fair comparisons. We demonstrate the simulator on two climate models. We find the impact of time sampling has a large effect on simulated cloud water amount and that the simulator reduces the cloud cover by about 10 % globally.
Read more
Share