Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 4
Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2555-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-2555-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 4
Research article
 | 
28 Feb 2024
Research article |  | 28 Feb 2024

Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches

Samuel Upton, Markus Reichstein, Fabian Gans, Wouter Peters, Basil Kraft, and Ana Bastos

Viewed

Total article views: 1,769 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,270 430 69 1,769 42 45
  • HTML: 1,270
  • PDF: 430
  • XML: 69
  • Total: 1,769
  • BibTeX: 42
  • EndNote: 45
Views and downloads (calculated since 05 Jun 2023)
Cumulative views and downloads (calculated since 05 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,769 (including HTML, PDF, and XML) Thereof 1,742 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
Download
Short summary
Data-driven eddy-covariance upscaled estimates of the global land–atmosphere net CO2 exchange (NEE) show important mismatches with regional and global estimates based on atmospheric information. To address this, we create a model with a dual constraint based on bottom-up eddy-covariance data and top-down atmospheric inversion data. Our model overcomes shortcomings of each approach, producing improved NEE estimates from local to global scale, helping to reduce uncertainty in the carbon budget.
Read more
Altmetrics
Final-revised paper
Preprint