Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4647-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-4647-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
21 Dec 2017
Development and technical paper |
| 21 Dec 2017
Effectiveness and limitations of parameter tuning in reducing biases of top-of-atmosphere radiation and clouds in MIROC version 5
Tomoo Ogura
CORRESPONDING AUTHOR
National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
Hideo Shiogama
National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
Masahiro Watanabe
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Chiba, Japan
Masakazu Yoshimori
Faculty of Environmental Earth Science, Global Institution for
Collaborative Research and Education, and Arctic Research Center, Hokkaido University, Sapporo, Hokkaido, Japan
Tokuta Yokohata
National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
James D. Annan
BlueSkiesResearch.org.uk, Settle, North Yorkshire, UK
Julia C. Hargreaves
BlueSkiesResearch.org.uk, Settle, North Yorkshire, UK
Naoto Ushigami
Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
Kazuya Hirota
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Chiba, Japan
Yu Someya
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Chiba, Japan
Youichi Kamae
Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
Hiroaki Tatebe
Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan
Masahide Kimoto
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Chiba, Japan
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Cited
10 citations as recorded by crossref.
- Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6 H. Tatebe et al. 10.5194/gmd-12-2727-2019
- Fixed Anvil Temperature Feedback: Positive, Zero, or Negative? M. Yoshimori et al. 10.1175/JCLI-D-19-0108.1
- Positive Low Cloud Feedback Primarily Caused by Increasing Longwave Radiation From the Sea Surface in Two Versions of a Climate Model T. Ogura et al. 10.1029/2023GL104786
- Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE 10.2151/jmsj.2020-059
- An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models J. Wei et al. 10.1007/s13131-021-1705-6
- Finding plausible and diverse variants of a climate model. Part 1: establishing the relationship between errors at weather and climate time scales D. Sexton et al. 10.1007/s00382-019-04625-3
- The End of the Wait for Climate Sensitivity? B. Sanderson 10.1029/2019GL084685
- A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 1: selecting the parameter combinations D. Sexton et al. 10.1007/s00382-021-05709-9
- Evaluating models' response of tropical low clouds to SST forcings using CALIPSO observations G. Cesana et al. 10.5194/acp-19-2813-2019
- Climate Impact of Cloud Water Inhomogeneity through Microphysical Processes in a Global Climate Model H. Hotta et al. 10.1175/JCLI-D-19-0772.1
10 citations as recorded by crossref.
- Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6 H. Tatebe et al. 10.5194/gmd-12-2727-2019
- Fixed Anvil Temperature Feedback: Positive, Zero, or Negative? M. Yoshimori et al. 10.1175/JCLI-D-19-0108.1
- Positive Low Cloud Feedback Primarily Caused by Increasing Longwave Radiation From the Sea Surface in Two Versions of a Climate Model T. Ogura et al. 10.1029/2023GL104786
- Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE 10.2151/jmsj.2020-059
- An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models J. Wei et al. 10.1007/s13131-021-1705-6
- Finding plausible and diverse variants of a climate model. Part 1: establishing the relationship between errors at weather and climate time scales D. Sexton et al. 10.1007/s00382-019-04625-3
- The End of the Wait for Climate Sensitivity? B. Sanderson 10.1029/2019GL084685
- A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 1: selecting the parameter combinations D. Sexton et al. 10.1007/s00382-021-05709-9
- Evaluating models' response of tropical low clouds to SST forcings using CALIPSO observations G. Cesana et al. 10.5194/acp-19-2813-2019
- Climate Impact of Cloud Water Inhomogeneity through Microphysical Processes in a Global Climate Model H. Hotta et al. 10.1175/JCLI-D-19-0772.1
Latest update: 22 Nov 2024
Short summary
Present-day climate simulated by coupled ocean atmosphere models exhibits significant biases in top-of-atmosphere radiation and clouds. This study shows that only limited part of the biases can be removed by parameter tuning in a climate model. The results underline the importance of improving parameterizations in climate models based on cloud process studies. Implementing a shallow convection parameterization is suggested as a potential measure to alleviate the biases.
Present-day climate simulated by coupled ocean atmosphere models exhibits significant biases in...
