Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year
    4.890
  • CiteScore value: 4.49 CiteScore
    4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 51 Scimago H
    index 51
Volume 9, issue 9
Geosci. Model Dev., 9, 3413-3425, 2016
https://doi.org/10.5194/gmd-9-3413-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental...

Geosci. Model Dev., 9, 3413-3425, 2016
https://doi.org/10.5194/gmd-9-3413-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model experiment description paper 23 Sep 2016

Model experiment description paper | 23 Sep 2016

The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system

Edwin P. Gerber and Elisa Manzini
Viewed  
Total article views: 1,976 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,261 560 155 1,976 131 157
  • HTML: 1,261
  • PDF: 560
  • XML: 155
  • Total: 1,976
  • BibTeX: 131
  • EndNote: 157
Views and downloads (calculated since 09 May 2016)
Cumulative views and downloads (calculated since 09 May 2016)
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 20 Mar 2019
Publications Copernicus
Download
Notice on corrigendum

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Diagnostics of atmospheric momentum and energy transport are needed to investigate and understand circulation biases in climate models and the atmospheric response to natural and anthropogenic forcing. To reduce such biases is of importance because they add uncertainty in regional climate projections. We define requirements for diagnosing resolved and parameterized dynamical processes relevant to atmospheric variability and the transport of mass, momentum and energy within CMIP.
Diagnostics of atmospheric momentum and energy transport are needed to investigate and...
Citation