Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-2725-2020
https://doi.org/10.5194/essd-12-2725-2020
Data description paper
 | 
12 Nov 2020
Data description paper |  | 12 Nov 2020

Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017

Yi Zheng, Ruoque Shen, Yawen Wang, Xiangqian Li, Shuguang Liu, Shunlin Liang, Jing M. Chen, Weimin Ju, Li Zhang, and Wenping Yuan

Data sets

Improved estimate of global gross primary production for reproducing its long-term variation, 1982-2017 Yi Zheng, Ruoque Shen, Yawen Wang, Xiangqian Li, Shuguang Liu, Shunlin Liang, Jing M. Chen, Weimin Ju, Li Zhang, and Wenping Yuan https://doi.org/10.6084/m9.figshare.8942336.v3

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Short summary
Accurately reproducing the interannual variations in vegetation gross primary production (GPP) is a major challenge. A global GPP dataset was generated by integrating the regulations of several major environmental variables with long-term changes. The dataset can effectively reproduce the spatial, seasonal, and particularly interannual variations in global GPP. Our study will contribute to accurate carbon flux estimates at long timescales.