Articles | Volume 12, issue 2
Geosci. Model Dev., 12, 829–847, 2019
https://doi.org/10.5194/gmd-12-829-2019
Geosci. Model Dev., 12, 829–847, 2019
https://doi.org/10.5194/gmd-12-829-2019

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 et al.

Viewed

Total article views: 1,707 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,274 403 30 1,707 38 33
  • HTML: 1,274
  • PDF: 403
  • XML: 30
  • Total: 1,707
  • BibTeX: 38
  • EndNote: 33
Views and downloads (calculated since 18 Oct 2018)
Cumulative views and downloads (calculated since 18 Oct 2018)

Viewed (geographical distribution)

Total article views: 1,500 (including HTML, PDF, and XML) Thereof 1,497 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Oct 2021
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.