Journal cover Journal topic
Earth System Dynamics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.866 IF 3.866
  • IF 5-year value: 4.135 IF 5-year
    4.135
  • CiteScore value: 7.0 CiteScore
    7.0
  • SNIP value: 1.182 SNIP 1.182
  • IPP value: 3.86 IPP 3.86
  • SJR value: 1.883 SJR 1.883
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 33 Scimago H
    index 33
  • h5-index value: 30 h5-index 30
Volume 8, issue 2
Earth Syst. Dynam., 8, 387–403, 2017
https://doi.org/10.5194/esd-8-387-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Dynam., 8, 387–403, 2017
https://doi.org/10.5194/esd-8-387-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 31 May 2017

Research article | 31 May 2017

Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics

Sebastian Sippel et al.

Viewed

Total article views: 2,318 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,449 745 124 2,318 214 86 112
  • HTML: 1,449
  • PDF: 745
  • XML: 124
  • Total: 2,318
  • Supplement: 214
  • BibTeX: 86
  • EndNote: 112
Views and downloads (calculated since 27 Oct 2016)
Cumulative views and downloads (calculated since 27 Oct 2016)

Viewed (geographical distribution)

Total article views: 2,321 (including HTML, PDF, and XML) Thereof 2,315 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 04 Aug 2020
Publications Copernicus
Download
Short summary
The present study (1) evaluates land–atmosphere coupling in the CMIP5 multi-model ensemble against an ensemble of benchmarking datasets and (2) refines the model ensemble using a land–atmosphere coupling diagnostic as constraint. Our study demonstrates that a considerable fraction of coupled climate models overemphasize warm-season moisture-limited climate regimes in midlatitude regions. This leads to biases in daily-scale temperature extremes, which are alleviated in a constrained ensemble.
The present study (1) evaluates land–atmosphere coupling in the CMIP5 multi-model ensemble...
Citation
Final-revised paper
Preprint