A global gross primary production dataset based on rEC-LUE from 1982-2022

This dataset provides monthly aggregated global gross primary production (GPP) at 0.05° latitude by 0.05° longitude for 1982-2022.

This GPP dataset was generated by the revised EC-LUE model (Zheng et al. 2020 ESSD) by integrating the regulations of several major environmental variables: atmospheric CO2 concentration, radiation components (i.e., direct and diffuse radiations), and atmospheric vapor pressure deficit (VPD). The remote sensing based LAI driven data in this dataset is GLASS-LAI v6 based on the Bi-LSTM algorithm (Ma et al. 2022 RSE), which only applied the AVHRR based reflectance as input.

Each .zip file contains all the monthly aggregated GPP (unit in gC m-2 month-1) of a year. The scale factor is 0.01, which means that the original GPP should multiple 0.01 for the month value. The filled value is >60000.

This dataset is generated by Dr. Shangrong LIN and Dr. Jie TIAN.

If you have any concerns or questions, feel free to contact Dr. Shangrong LIN (linshr6@mail.sysu.edu.cn) or Prof. Wenping YUAN (yuanwp@pku.edu.cn). 

References:

Zheng, Y., Shen, R., Wang, Y., Li, X., Liu, S., Liang, S., ... & Yuan, W. (2020). Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017. Earth System Science Data, 12(4), 2725-2746.

Ma, H., & Liang, S. (2022). Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model. Remote Sensing of Environment, 273, 112985.