Articles | Volume 20, issue 16
https://doi.org/10.5194/bg-20-3523-2023
https://doi.org/10.5194/bg-20-3523-2023
Research article
 | 
23 Aug 2023
Research article |  | 23 Aug 2023

Gross primary productivity and the predictability of CO2: more uncertainty in what we predict than how well we predict it

István Dunkl, Nicole Lovenduski, Alessio Collalti, Vivek K. Arora, Tatiana Ilyina, and Victor Brovkin

Viewed

Total article views: 2,163 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,719 390 54 2,163 47 45
  • HTML: 1,719
  • PDF: 390
  • XML: 54
  • Total: 2,163
  • BibTeX: 47
  • EndNote: 45
Views and downloads (calculated since 30 Jan 2023)
Cumulative views and downloads (calculated since 30 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,163 (including HTML, PDF, and XML) Thereof 2,162 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Dec 2024
Download
Short summary
Despite differences in the reproduction of gross primary productivity (GPP) by Earth system models (ESMs), ESMs have similar predictability of the global carbon cycle. We found that, although GPP variability originates from different regions and is driven by different climatic variables across the ESMs, the ESMs rely on the same mechanisms to predict their own GPP. This shows that the predictability of the carbon cycle is limited by our understanding of variability rather than predictability.
Altmetrics
Final-revised paper
Preprint