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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 12
Geosci. Model Dev., 10, 4647–4664, 2017
https://doi.org/10.5194/gmd-10-4647-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 4647–4664, 2017
https://doi.org/10.5194/gmd-10-4647-2017
© Author(s) 2017. This work is distributed under
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 et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by T. Ogura on behalf of the Authors (27 Oct 2017)  Author's response    Manuscript
ED: Publish as is (09 Nov 2017) by Holger Tost
Publications Copernicus
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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...
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