Biogeosciences
Biogeosciences
BG
Articles | Volume 17, issue 22
Articles | Volume 17, issue 22
https://doi.org/10.5194/bg-17-5721-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-5721-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 22
Research article
 | 
23 Nov 2020
Research article |  | 23 Nov 2020

Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO2

Tea Thum, Julia E. M. S. Nabel, Aki Tsuruta, Tuula Aalto, Edward J. Dlugokencky, Jari Liski, Ingrid T. Luijkx, Tiina Markkanen, Julia Pongratz, Yukio Yoshida, and Sönke Zaehle

Viewed

Total article views: 5,667 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,156 1,371 140 5,667 537 199 213
  • HTML: 4,156
  • PDF: 1,371
  • XML: 140
  • Total: 5,667
  • Supplement: 537
  • BibTeX: 199
  • EndNote: 213
Views and downloads (calculated since 10 Feb 2020)
Cumulative views and downloads (calculated since 10 Feb 2020)

Viewed (geographical distribution)

Total article views: 5,667 (including HTML, PDF, and XML) Thereof 5,171 with geography defined and 496 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 18 May 2026
Download
Short summary
Global vegetation models are important tools in estimating the impacts of global climate change. The fate of soil carbon is of the upmost importance as its emissions will enhance the atmospheric carbon dioxide concentration. To evaluate the skill of global vegetation models to model the soil carbon and its responses to environmental factors, it is important to use different data sources. We evaluated two different soil carbon models by using atmospheric carbon dioxide concentrations.
Read more
Share
Altmetrics
Final-revised paper
Preprint