Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 5
Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-2801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 5
Model description paper
 | 
19 May 2021
Model description paper |  | 19 May 2021

SimCloud version 1.0: a simple diagnostic cloud scheme for idealized climate models

Qun Liu, Matthew Collins, Penelope Maher, Stephen I. Thomson, and Geoffrey K. Vallis

Viewed

Total article views: 2,806 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,057 710 39 2,806 328 44 28
  • HTML: 2,057
  • PDF: 710
  • XML: 39
  • Total: 2,806
  • Supplement: 328
  • BibTeX: 44
  • EndNote: 28
Views and downloads (calculated since 17 Dec 2020)
Cumulative views and downloads (calculated since 17 Dec 2020)

Viewed (geographical distribution)

Total article views: 2,806 (including HTML, PDF, and XML) Thereof 2,634 with geography defined and 172 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
Clouds play an vital role in Earth's energy budget, and even a small change in cloud fields can have a large impact on the climate system. They also bring lots of uncertainties to climate models. Here we implement a simple diagnostic cloud scheme in order to reproduce the general radiative properties of clouds. The scheme can capture some key features of the cloud fraction and cloud radiative properties and thus provide a useful tool to explore unsolved problems relating to clouds.
Read more