Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 12, issue 4
Articles | Volume 12, issue 4
https://doi.org/10.5194/esd-12-1413-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-12-1413-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 4
Research article
 | 
02 Dec 2021
Research article |  | 02 Dec 2021

Process-based analysis of terrestrial carbon flux predictability

István Dunkl, Aaron Spring, Pierre Friedlingstein, and Victor Brovkin

Viewed

Total article views: 4,532 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,505 892 135 4,532 149 173
  • HTML: 3,505
  • PDF: 892
  • XML: 135
  • Total: 4,532
  • BibTeX: 149
  • EndNote: 173
Views and downloads (calculated since 10 Jun 2021)
Cumulative views and downloads (calculated since 10 Jun 2021)

Viewed (geographical distribution)

Total article views: 4,532 (including HTML, PDF, and XML) Thereof 4,323 with geography defined and 209 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 16 May 2026
Download
Short summary
The variability in atmospheric CO2 is largely controlled by terrestrial carbon fluxes. These land–atmosphere fluxes are predictable for around 2 years, but the mechanisms providing the predictability are not well understood. By decomposing the predictability of carbon fluxes into individual contributors we were able to explain the spatial and seasonal patterns and the interannual variability of CO2 flux predictability.
Read more
Share
Altmetrics
Final-revised paper
Preprint