Journal cover Journal topic
Climate of the Past An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.470 IF 3.470
  • IF 5-year value: 4.009 IF 5-year
    4.009
  • CiteScore value: 3.45 CiteScore
    3.45
  • SNIP value: 1.166 SNIP 1.166
  • IPP value: 3.28 IPP 3.28
  • SJR value: 1.929 SJR 1.929
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 64 Scimago H
    index 64
  • h5-index value: 43 h5-index 43
CP | Articles | Volume 15, issue 4
Clim. Past, 15, 1223–1249, 2019
https://doi.org/10.5194/cp-15-1223-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Clim. Past, 15, 1223–1249, 2019
https://doi.org/10.5194/cp-15-1223-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Jul 2019

Research article | 02 Jul 2019

Mid-Holocene climate change over China: model–data discrepancy

Yating Lin et al.
Viewed  
Total article views: 1,722 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,435 276 11 1,722 88 10 15
  • HTML: 1,435
  • PDF: 276
  • XML: 11
  • Total: 1,722
  • Supplement: 88
  • BibTeX: 10
  • EndNote: 15
Views and downloads (calculated since 13 Nov 2018)
Cumulative views and downloads (calculated since 13 Nov 2018)
Viewed (geographical distribution)  
Total article views: 1,399 (including HTML, PDF, and XML) Thereof 1,369 with geography defined and 30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 18 Sep 2019
Publications Copernicus
Download
Short summary
The mid-Holocene has been an excellent target for comparing models and data. This work shows that, over China, all the ocean–atmosphere general circulation models involved in PMIP3 show a very large discrepancy with pollen data reconstruction when comparing annual and seasonal temperature. It demonstrates that to reconcile models and data and to capture the signature of seasonal thermal response, it is necessary to integrate non-linear processes, particularly those related to vegetation changes.
The mid-Holocene has been an excellent target for comparing models and data. This work shows...
Citation