The data set is based on the NBP simulated by 16 dynamic global vegetation models (TRENDY v8) under S2 Scenario (CO2+Climate) and represents the net biome productivity of the ecosystem. Data was derived from Le Quéré et al. (2019). The range of source data is global, and the Qinghai Tibet plateau region is selected in this data set. Original data is interpolated into 0.5*0.5 degree by the nearest neighbor method in space, and the original monthly scale is maintained in time. The data set is the standard model output data, which is often used to evaluate the temporal and spatial patterns of gross primary productivity, and compared with other remote sensing observations, flux observations and other data.

File naming and required software

File naming: NBP is stored in NC format, and the file is named "NBP"_ S2_ 1980_ 2018.nc”。
Data reading mode: it can be directly opened with MATLAB or other software that can read NC files.

Data Citations Data citation guideline What's data citation?

Cite as:

Stephen, S. (2021). Net Biome Productivity (GPP) dataset of Tibetan Plateau (1980-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271296. CSTR: 18406.11.Ecolo.tpdc.271296. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Friedlingstein, P., Jones, M.W., O'Sullivan, M. et al. (2019). Global Carbon Budget 2019. Earth Syst. Sci. Data, 11(4), 1783-1838.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Second Tibetan Plateau Scientific Expedition Program

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)