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.
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.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
03 Jan 2020
Development and technical paper |
| 03 Jan 2020
| 03 Jan 2020
An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3)
Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China
Brookhaven National Laboratory, New York, 11973, USA
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
Joint Center for Global Change Studies, Tsinghua University, Beijing, 100084, China
Wei Xue
CORRESPONDING AUTHOR
Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
Joint Center for Global Change Studies, Tsinghua University, Beijing, 100084, China
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Mark D. Zelinka, Li-Wei Chao, Timothy A. Myers, Yi Qin, and Stephen A. Klein
Atmos. Chem. Phys., 25, 1477–1495, https://doi.org/10.5194/acp-25-1477-2025, https://doi.org/10.5194/acp-25-1477-2025, 2025
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Jiaxu Guo, Juepeng Zheng, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Ping Gao, Wubing Wan, Xianwei Wu, Zhitao Zhang, Liang Hu, Gaochao Xu, and Xilong Che
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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.
Uncertain parameters in physical parameterizations of general circulation models (GCMs) greatly...
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