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 6, issue 2
Earth Syst. Dynam., 6, 435–445, 2015
https://doi.org/10.5194/esd-6-435-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Intersectoral Impact Model Intercomparison Project (ISI-MIP)

Earth Syst. Dynam., 6, 435–445, 2015
https://doi.org/10.5194/esd-6-435-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Jul 2015

Research article | 13 Jul 2015

Decomposing uncertainties in the future terrestrial carbon budget associated with emission scenarios, climate projections, and ecosystem simulations using the ISI-MIP results

K. Nishina et al.

Viewed

Total article views: 4,646 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,385 1,135 126 4,646 215 133 153
  • HTML: 3,385
  • PDF: 1,135
  • XML: 126
  • Total: 4,646
  • Supplement: 215
  • BibTeX: 133
  • EndNote: 153
Views and downloads (calculated since 10 Oct 2014)
Cumulative views and downloads (calculated since 10 Oct 2014)

Cited

Saved (final revised paper)

Saved (preprint)

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 05 Aug 2020
Publications Copernicus
Download
Short summary
Our study focused on uncertainties in terrestrial C cycling under newly developed scenarios with CMIP5. This study presents first results for examining relative uncertainties of projected terrestrial C cycling in multiple projection components. Only using our new model inter-comparison project data sets enables us to evaluate various uncertainty sources in projection periods. The information on relative uncertainties is useful for climate science and climate change impact evaluation.
Our study focused on uncertainties in terrestrial C cycling under newly developed scenarios with...
Citation
Final-revised paper
Preprint