Data
Global Terrestrial GPP Data
Global Terrestrial GPP Data
- Model: CCW 1.5
- Inputs: MODIS-C6 NDVI, ESA-CCI Land Cover Data & CRU-NECP Climate Data
- Resolutions: monthly / 0.05 degree
- Period: 2000 - 2015
- Data Link: https://osf.io/mnptv/?view_only=77e57939fe474ae88f356ec64c573c45
- References:
Zhang, Y., Song, C., Sun, G., Band, L.E., 2019. No proportional increase of terrestrial gross primary production from the greening Earth. Journal of Geophysical Research: Biogeosciences.
Zhang, Y., Song, C., Sun, G., Band, L.E., McNulty, S., Noormets, A., Zhang, Q. and Zhang, Z., 2016. Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data. Agricultural and forest meteorology, 223, pp.116-131. https://doi.org/10.1016/j.agrformet.2016.04.003
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Global Terrestrial GPP Anomaly Data
Global Terrestrial GPP Anomaly Data
- Model: CCW 1.5
- Inputs: GIMMS3g FPAR, MODIS Land Cover Data & CRU-NECP Climate Data
- Resolutions: yearly / 1/12degree
- Period: 1982 - 2016
- Data Link: https://osf.io/mqg9r/?view_only=27a598289c58410abb504969466a4018
- References:
Zhang, Y., M.P. Dannenberg, T. Hwang, C. Song, 2019. El Niño-Southern Oscillation-induced variability of terrestrial gross primary production during the satellite era. Journal of Geophysical Research: Biogeosciences. https://doi.org/10.1029/2019JG005117
Zhang, Y., Song, C., Sun, G., Band, L.E., McNulty, S., Noormets, A., Zhang, Q. and Zhang, Z., 2016. Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data. Agricultural and forest meteorology, 223, pp.116-131. https://doi.org/10.1016/j.agrformet.2016.04.003
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