Articles | Volume 17, issue 5
https://doi.org/10.5194/bg-17-1343-2020
https://doi.org/10.5194/bg-17-1343-2020
Reviews and syntheses
 | Highlight paper
 | 
16 Mar 2020
Reviews and syntheses | Highlight paper |  | 16 Mar 2020

Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach

Martin Jung, Christopher Schwalm, Mirco Migliavacca, Sophia Walther, Gustau Camps-Valls, Sujan Koirala, Peter Anthoni, Simon Besnard, Paul Bodesheim, Nuno Carvalhais, Frédéric Chevallier, Fabian Gans, Daniel S. Goll, Vanessa Haverd, Philipp Köhler, Kazuhito Ichii, Atul K. Jain, Junzhi Liu, Danica Lombardozzi, Julia E. M. S. Nabel, Jacob A. Nelson, Michael O'Sullivan, Martijn Pallandt, Dario Papale, Wouter Peters, Julia Pongratz, Christian Rödenbeck, Stephen Sitch, Gianluca Tramontana, Anthony Walker, Ulrich Weber, and Markus Reichstein

Viewed

Total article views: 23,789 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
17,637 5,935 217 23,789 1,236 270 339
  • HTML: 17,637
  • PDF: 5,935
  • XML: 217
  • Total: 23,789
  • Supplement: 1,236
  • BibTeX: 270
  • EndNote: 339
Views and downloads (calculated since 02 Oct 2019)
Cumulative views and downloads (calculated since 02 Oct 2019)

Viewed (geographical distribution)

Total article views: 23,789 (including HTML, PDF, and XML) Thereof 22,016 with geography defined and 1,773 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Feb 2025
Download
Short summary
We test the approach of producing global gridded carbon fluxes based on combining machine learning with local measurements, remote sensing and climate data. We show that we can reproduce seasonal variations in carbon assimilated by plants via photosynthesis and in ecosystem net carbon balance. The ecosystem’s mean carbon balance and carbon flux trends require cautious interpretation. The analysis paves the way for future improvements of the data-driven assessment of carbon fluxes.
Share
Altmetrics
Final-revised paper
Preprint