Biogeosciences
Biogeosciences
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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

Supplement

https://doi.org/10.5194/bg-17-5721-2020-supplement

Data sets

Global Atmospheric Data Integration Project, Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957–2015 ObsPack https://doi.org/10.15138/G3059Z

CRU-NCEP dataset N. Viovy http://dods.extra.cea.fr/data/p529viov/cruncep/readme.htm

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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.
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