Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-3009-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3009-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
30 Jun 2025
Data description article |
| 30 Jun 2025
| 30 Jun 2025
CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization
Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA
Maoya Bassiouni
Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Max Gaber
Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
Xinchen Lu
Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Trevor F. Keenan
CORRESPONDING AUTHOR
Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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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.
CEDAR-GPP provides spatiotemporally upscaled estimates of gross primary productivity (GPP)...
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