Not logged in
Data Publisher for Earth & Environmental Science

Zhang, Yao; Xiao, Xiangming; Wu, Xiaocui; Zhou, Sha; Zhang, Geli; Qin, Yuanwei; Dong, Jinwei (2017): Global gross primary production from vegetation photosynthesis model for 2000-2016 [dataset publication series]. PANGAEA,, Supplement to: Zhang, Y et al. (2017): A global moderate resolution dataset of gross primary production of vegetation for 2000–2016. Scientific Data, 4(1), 170165,

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for understanding of the global carbon cycle and predicting the future climate change. Multiple GPP products are currently available based on different methods, but their performances vary substantially when validated against GPP estimates from eddy covariance data. This paper provides a new GPP dataset at moderate spatial (500 m) and temporal (8-day) resolutions over the entire globe for 2000-2016. This GPP dataset is based on an improved light use efficiency theory and is driven by satellite data from MODIS and climate data from NCEP Reanalysis II. It also employs a state-of-the-art vegetation index (VI) gap-filling and smoothing algorithm and a separate treatment for C3/C4 photosynthesis pathways. All these improvements aim to solve several critical problems existing in current GPP products. With a satisfactory performance when validated against in situ GPP estimates, this dataset offers an alternative GPP estimates for regional to global carbon cycle studies.
Date/Time Start: 2000-01-01T00:00:00 * Date/Time End: 2016-12-31T23:59:00
2 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text — use the following character encoding: