Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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
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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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Excellent Article, very minor corrections', Anonymous Referee #1, 24 Jul 2017 Printer-friendly Version 
 
RC2: 'The manuscript is well written and should be accepted after minor revisions', Anonymous Referee #2, 26 Jul 2017 Printer-friendly Version Supplement 
 
RC3: 'RC1: comments continued', Anonymous Referee #1, 26 Jul 2017 Printer-friendly Version 
SC1: 'Tendencies of water', T. Ogura, 27 Jul 2017 Printer-friendly Version 
 
AC1: 'Authors' responses to the comments by anonymous referees #1 and #2', T. Ogura, 26 Oct 2017 Printer-friendly Version Supplement 
Peer review completion
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  
CC BY 4.0
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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