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Biogeosciences An interactive open-access journal of the European Geosciences Union
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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.
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BG | Articles | Volume 17, issue 5
Biogeosciences, 17, 1343–1365, 2020
https://doi.org/10.5194/bg-17-1343-2020
Biogeosciences, 17, 1343–1365, 2020
https://doi.org/10.5194/bg-17-1343-2020

Reviews and syntheses 16 Mar 2020

Reviews and syntheses | 16 Mar 2020

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

Martin Jung et al.

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