Preprints
https://doi.org/10.5194/egusphere-2022-138
https://doi.org/10.5194/egusphere-2022-138
 
02 Aug 2022
02 Aug 2022
Status: this preprint is open for discussion.

An improved method of the Globally Resolved Energy Balance Model by the Bayes network

Zhenxia Liu1, Zengjie Wang1, Jian Wang1, Zhenfang Zhang1, Dongshuang Li4,5, Zhaoyuan Yu1,2,3, Linwang Yuan1,2,3, and Wen Luo1,2,3 Zhenxia Liu et al.
  • 1School of Geography, Nanjing Normal University, Nanjing, 210023, China
  • 2Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, 210023, China
  • 3Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
  • 4Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou, China
  • 5Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China

Abstract. This study introduces an improved method of the Globally Resolved Energy Balance Model(GREB) by the Bayes network. Starting from the climate elements relationship included in the GREB model, we reconstruct the model by the Bayes network to solve the problem of low model accuracy due to over-reliance on boundary conditions and initial conditions and the inability to use observed data for dynamic correction of model parameters. The improved model is applied to the simulation of surface average temperature and atmospheric average temperature based on the 3.75°×3.75° global data sets by Environmental Prediction (NCEP)/ National Center for Atmospheric Research(NCAR) from 1985 to 2014. The results illustrate that the improved model has higher average accuracy and lower spatial differentiation than the original GREB model. And the improved method provides a strong support for other dynamic model improvements.

Zhenxia Liu et al.

Status: open (until 27 Sep 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-138', Richard Rosen, 08 Aug 2022 reply
    • AC1: 'Reply on CC1', Wen Luo, 11 Aug 2022 reply
      • CC2: 'Reply on AC1', Richard Rosen, 11 Aug 2022 reply
        • AC2: 'Reply on CC2', Wen Luo, 15 Aug 2022 reply

Zhenxia Liu et al.

Zhenxia Liu et al.

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Short summary
This study introduces an improved method of the Globally Resolved Energy Balance Model by the Bayes network. Starting from the climate elements relationship included in the GREB model, we reconstruct the model by the Bayes network to solve the problem of low model accuracy due to the inability to use observed data for dynamic correction of model parameters. The results show that the improved model has higher average accuracy and lower spatial variability.