A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

This dataset contains GPP from Vegetation Photosynthesis Model (VPM) at two spatial resolution (0.05 and 0.5 degree) and three temporal resolution (8-day, monthly, annual). The units for the three temporal resolution are g C m-2 day-1, g C m-2 month-1, g C m-2 year-1, with no conversion factor. The original 500 m 8-day GPP product covering 2000-2016 is also available upon request ([e-mail] or [e-mail]). 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 estimate for regional to global carbon cycle studies. Resources in this dataset: Resource Title: A global moderate resolution dataset of gross primary production of vegetation for 2000–2016.. File Name: Web Page, url: https://doi.org/10.1038/sdata.2017.165 Data links included in the paper, as well as in Related Content section of this metadata record. Gross Primary Production (GPP) from Vegetation Photosynthesis Model (VPM) at 0.05 and 0.5 degree with 8-day, monthly, and annual resolution Raw 500 m 8-day GPP product with the data quality layer