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

Data sets

An improved method of the Globally Resolved Energy Balance Model by the Bayes network Zhenxia Liu https://doi.org/10.5281/zenodo.7886620

NCEP-NCAR Reanalysis 1 NOAA Physical Sciences Laboratory https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html

Model code and software

An improved method of the Globally Resolved Energy Balance Model by the Bayes network Zhenxia Liu https://doi.org/10.5281/zenodo.7886620

christianstassen/greb-hydro-develop-gmd: A Hydrological Cycle Model for the Globally Resolved Energy Balance Model (GREB) v1.0 (v1.0) C. Stassen https://doi.org/10.5281/zenodo.2232282

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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.
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