Biogeosciences
Biogeosciences
BG
Articles | Volume 21, issue 4
Articles | Volume 21, issue 4
https://doi.org/10.5194/bg-21-1017-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/bg-21-1017-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 4
Research article
 | 
29 Feb 2024
Research article |  | 29 Feb 2024

Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle

Nina Raoult, Louis-Axel Edouard-Rambaut, Nicolas Vuichard, Vladislav Bastrikov, Anne Sofie Lansø, Bertrand Guenet, and Philippe Peylin

Viewed

Total article views: 1,494 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,174 258 62 1,494 53 54
  • HTML: 1,174
  • PDF: 258
  • XML: 62
  • Total: 1,494
  • BibTeX: 53
  • EndNote: 54
Views and downloads (calculated since 10 Mar 2023)
Cumulative views and downloads (calculated since 10 Mar 2023)

Viewed (geographical distribution)

Total article views: 1,494 (including HTML, PDF, and XML) Thereof 1,478 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
Short summary
Observations are used to reduce uncertainty in land surface models (LSMs) by optimising poorly constraining parameters. However, optimising against current conditions does not necessarily ensure that the parameters treated as invariant will be robust in a changing climate. Manipulation experiments offer us a unique chance to optimise our models under different (here atmospheric CO2) conditions. By using these data in optimisations, we gain confidence in the future projections of LSMs.
Read more
Special issue
Ecosystem experiments as a window to future carbon, water,...
Altmetrics
Final-revised paper
Preprint