Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 10
Articles | Volume 16, issue 10
https://doi.org/10.5194/gmd-16-2939-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2939-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 10
Methods for assessment of models
 | 
30 May 2023
Methods for assessment of models |  | 30 May 2023

An improved method of the Globally Resolved Energy Balance model by the Bayesian networks

Zhenxia Liu, Zengjie Wang, Jian Wang, Zhengfang Zhang, Dongshuang Li, Zhaoyuan Yu, Linwang Yuan, and Wen Luo

Viewed

Total article views: 1,394 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,028 291 75 1,394 44 46
  • HTML: 1,028
  • PDF: 291
  • XML: 75
  • Total: 1,394
  • BibTeX: 44
  • EndNote: 46
Views and downloads (calculated since 02 Aug 2022)
Cumulative views and downloads (calculated since 02 Aug 2022)

Viewed (geographical distribution)

Total article views: 1,394 (including HTML, PDF, and XML) Thereof 1,346 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
Short summary
This study introduces an improved method of the Globally Resolved Energy Balance (GREB) model by the Bayesian network. The improved method constructs a coarse–fine structure that combines a dynamical model with a statistical model based on employing the GREB model as the global framework and utilizing Bayesian networks as the local optimization. The results show that the improved model has better applicability and stability on a global scale and maintains good robustness on the timescale.
Read more