Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5529-2022
© Author(s) 2022. 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-15-5529-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
20 Jul 2022
Model evaluation paper |
| 20 Jul 2022
| 20 Jul 2022
Improving Madden–Julian oscillation simulation in atmospheric general circulation models by coupling with a one-dimensional snow–ice–thermocline ocean model
Wan-Ling Tseng
International Degree Program in Climate Change and Sustainable
Development, National Taiwan University, Taipei, Taiwan
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Huang-Hsiung Hsu
CORRESPONDING AUTHOR
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Yung-Yao Lan
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Wei-Liang Lee
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Chia-Ying Tu
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Pei-Hsuan Kuo
Center Weather Bureau, Taipei, Taiwan
Ben-Jei Tsuang
Department of Environmental Engineering, National Chung-Hsing University, Taichung, Taiwan
Hsin-Chien Liang
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
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A cloud macrophysics scheme utilizing grid-mean hydrometeor information is developed and evaluated for climate models. The GFS–TaiESM–Sundqvist (GTS) scheme can simulate variations of cloud fraction associated with relative humidity (RH) in a more consistent way than the default scheme of CAM5.3. Through better cloud–RH distributions, the GTS scheme helps to better represent cloud fraction, cloud radiative forcing, and thermodynamic-related climatic fields in climate simulations.
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Short summary
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The Taiwan Earth System Model (TaiESM) is a new climate model developed in Taiwan. It includes several new features, and therefore it can better simulate the occurrence of convective rainfall, solar energy received by mountainous surfaces, and more detail chemical processes in aerosols. TaiESM can capture the trend of global warming after 1950 well, and its overall performance in most meteorological quantities is better than the average of global models used in IPCC AR5.
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Short summary
We show that coupling a high-resolution one-column ocean model to three atmospheric general circulation models dramatically improves Madden–Julian oscillation (MJO) simulations. It suggests two major improvements to the coupling process in the preconditioning phase and strongest convection phase over the Maritime Continent. Our results demonstrate a simple but effective way to significantly improve MJO simulations and potentially seasonal to subseasonal prediction.
We show that coupling a high-resolution one-column ocean model to three atmospheric general...
