2015-2100 global climate dataset considering different SSPs scenarios of China's carbon neutral targets- A Big Earth Data Platform for Three Poles

The data set is a numerical simulation data set based on CESM2.1.3 mode. The data set is global multi scenario monthly climate data. The spatial resolution is f19_ G17 atmosphere/land is 1.9x2.5 degrees, from January 2015 to December 2010, and the data is in NETCDF format.

The data set includes historical data from 1850-2014 (referred to as Hist for short) and SSP scenarios (SSP126, SSP245, SSP370, SSP585). Each scenario includes three sets of climate data (default emission data CMIP6 (referred to as CMIP6 for short), China's carbon neutral CNCN (referred to as CNCN for short) CO2 emissions, and China's CH4 and N2O changes with CNCN, which are further used to drive the CESM (referred to as CNCNext for short)), The data set contains a geospatial range of - 90 ° N – 90 ° N and - 180 ° E – 180 ° E.

File naming and required software

The file name is SSPxxx.CCCC.cam.h0.YYYY-MM Nc, SSPxxx represents the simulation scenario, CCCC represents the experiment, YYYY represents the year in turn, and MM represents the month; Take SSP126.CMIP6.cam.h0.2015-01.nc file as an example to show the climate data in January 2015 driven by CMIP6 data under SSP126 scenario.
For a more in-depth understanding of the data, please refer to the published papers of the data authors under the literature citation mode.

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Cite as:

Li, L. (2022). 2015-2100 global climate dataset considering different SSPs scenarios of China's carbon neutral targets. A Big Earth Data Platform for Three Poles, DOI: https://doi.org/10.1038/s41467-022-33047-9. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li, L., Zhang, Y., Zhou, T., Wang, K., Wang, C., Wang, T., Yuan, L., An, K., Zhou, C., & Lü, G. (2022). Mitigation of China’s carbon neutrality to global warming. Nature Communications, 13(1), 1-7.( View Details | Download | Bibtex)

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

Copyright & License

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