Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-3009-2025
https://doi.org/10.5194/essd-17-3009-2025
Data description paper
 | 
30 Jun 2025
Data description paper |  | 30 Jun 2025

CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization

Yanghui Kang, Maoya Bassiouni, Max Gaber, Xinchen Lu, and Trevor F. Keenan

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Cited articles

Amiro, B.: FLUXNET2015 CA-Man Manitoba – Northern Old Black Spruce (former BOREAS Northern Study Area), FLUXNET2015 [data set], https://doi.org/10.18140/FLX/1440035, 2016a. 
Amiro, B.: FLUXNET2015 CA-SF1 Saskatchewan – Western Boreal, forest burned in 1977, FLUXNET2015 [data set], https://doi.org/10.18140/FLX/1440046, 2016b. 
Amiro, B.: FLUXNET2015 CA-SF3 Saskatchewan – Western Boreal, forest burned in 1998, FLUXNET2015 [data set], https://doi.org/10.18140/FLX/1440048, 2016c. 
Amiro, B.: AmeriFlux FLUXNET-1F CA-SF2 Saskatchewan – Western Boreal, forest burned in 1989, AmeriFlux AMP [dataset], https://doi.org/10.17190/AMF/2006961, 2023. 
Ammann, C.: FLUXNET2015 CH-Oe1 Oensingen grassland, FLUXNET2015 [data set], https://doi.org/10.18140/FLX/1440135, 2016. 
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Short summary
CEDAR-GPP provides spatiotemporally upscaled estimates of gross primary productivity (GPP) globally, uniquely incorporating the direct effect of elevated atmospheric CO2 on photosynthesis. This dataset was produced by upscaling eddy covariance data with machine learning and a broad range of satellite and climate variables. Available at monthly and 0.05° resolution from 1982 to 2020, CEDAR-GPP offers critical insights into ecosystem–climate interactions and the global carbon cycle.
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