Articles | Volume 19, issue 23
https://doi.org/10.5194/bg-19-5435-2022
https://doi.org/10.5194/bg-19-5435-2022
Research article
 | 
05 Dec 2022
Research article |  | 05 Dec 2022

Drivers of intermodel uncertainty in land carbon sink projections

Ryan S. Padrón, Lukas Gudmundsson, Laibao Liu, Vincent Humphrey, and Sonia I. Seneviratne

Viewed

Total article views: 2,011 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,334 630 47 2,011 176 19 39
  • HTML: 1,334
  • PDF: 630
  • XML: 47
  • Total: 2,011
  • Supplement: 176
  • BibTeX: 19
  • EndNote: 39
Views and downloads (calculated since 08 Apr 2022)
Cumulative views and downloads (calculated since 08 Apr 2022)

Viewed (geographical distribution)

Total article views: 2,011 (including HTML, PDF, and XML) Thereof 1,945 with geography defined and 66 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
The answer to how much carbon land ecosystems are projected to remove from the atmosphere until 2100 is different for each Earth system model. We find that differences across models are primarily explained by the annual land carbon sink dependence on temperature and soil moisture, followed by the dependence on CO2 air concentration, and by average climate conditions. Our insights on why each model projects a relatively high or low land carbon sink can help to reduce the underlying uncertainty.
Altmetrics
Final-revised paper
Preprint