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 (yaozhang@ou.edu or xiangming.xiao@ou.edu).
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.
Funding
USDA-NIFA: 2013-69002-23146
USDA-NIFA: 2016-68002-24967
National Science Foundation: IIA-1301789
National Aeronautics and Space Administration: GeoCarb Contract # 80LARC17C0001
History
Data contact name
Xiao, XiangmingData contact email
xiangming.xiao@ou.eduPublisher
Scientific DataIntended use
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.Use limitations
The GPP for gridcells in coastal regions (in 0.05°×0.05° and 0.5°×0.5° spatial resolution products) are averaged over the entire gridcell but land only, therefore, the land area fraction is not needed when calculating the regional sum.Temporal Extent Start Date
2000-01-01Temporal Extent End Date
2016-12-31Theme
- Not specified
Geographic location - description
GlobalISO Topic Category
- climatologyMeteorologyAtmosphere
- environment
- geoscientificInformation
- imageryBaseMapsEarthCover
National Agricultural Library Thesaurus terms
data collection; vegetation; photosynthesis; models; remote sensing; moderate resolution imaging spectroradiometer; meteorological data; vegetation index; algorithms; C3 photosynthesis; C4 photosynthesis; primary productivity; prediction; climate change; eddy covariance; temperature; ecology; carbon cycle; Biological Sciences; Natural Resources Earth and Environmental SciencesPending citation
- No
Public Access Level
- Public
