Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/gmd-13-41-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-41-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Development and technical paper
 | 
03 Jan 2020
Development and technical paper |  | 03 Jan 2020

An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3)

Li Wu, Tao Zhang, Yi Qin, and Wei Xue

Viewed

Total article views: 2,439 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,592 757 90 2,439 96 133
  • HTML: 1,592
  • PDF: 757
  • XML: 90
  • Total: 2,439
  • BibTeX: 96
  • EndNote: 133
Views and downloads (calculated since 01 Jul 2019)
Cumulative views and downloads (calculated since 01 Jul 2019)

Viewed (geographical distribution)

Total article views: 2,439 (including HTML, PDF, and XML) Thereof 2,287 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2025
Download
Short summary
Uncertain parameters in physical parameterizations of general circulation models (GCMs) greatly impact model performance. In this study, an automated and efficient parameter optimization with the radiation balance constraint is presented and applied in the Community Atmospheric Model. Results show that the synthesized performance under the optimal parameters is 6.3 % better than the control run and the radiation imbalance is as low as 0.1 W m2.
Read more
Share