Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 12
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.
https://doi.org/10.5194/gmd-10-4647-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 12
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, Hideo Shiogama, Masahiro Watanabe, Masakazu Yoshimori, Tokuta Yokohata, James D. Annan, Julia C. Hargreaves, Naoto Ushigami, Kazuya Hirota, Yu Someya, Youichi Kamae, Hiroaki Tatebe, and Masahide Kimoto

Viewed

Total article views: 5,318 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,891 1,221 206 5,318 275 291
  • HTML: 3,891
  • PDF: 1,221
  • XML: 206
  • Total: 5,318
  • BibTeX: 275
  • EndNote: 291
Views and downloads (calculated since 21 Jun 2017)
Cumulative views and downloads (calculated since 21 Jun 2017)

Viewed (geographical distribution)

Total article views: 5,318 (including HTML, PDF, and XML) Thereof 5,051 with geography defined and 267 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 14 May 2026
Download
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.
Read more
Share