2026-10-14T21:45:41Z https://www.scidb.cn/oai

10.57760/sciencedb.j00100.00075 2026-08-21T17:12:29Z

2026-08-21 China Carbon Neutrality Dataset Based on CMIP6 and SSP-RCP Scenario Combination doi:10.57760/sciencedb.j00100.00075 en This dataset combines scenarios of shared socio-economic pathways (SSPs) and representative concentration pathways (RCPs), selecting four typical pathways: SSP1-2.6 (SSP126), SSP2-4.5 (SSP245), SSP3-7.0 (SSP370), and SSP5-8.5 (SSP585), covering the complete radiative forcing range from low to high emissions, to evaluate future global change and its impact on carbon neutrality under different combinations of socio-economic and climate policies. The carbon sink data in this dataset is selected from 10 representative Earth System Models (ESM) in CMIP6, including ACCESS-ESM1-5、BCC-CSM2-MR、CanESM5、CESM2-WACCM、CMCC-CM2-SR5、CMCC-ESM2、IPSL-CM6A-LR、MPI-ESM1-2-LR、NorESM2-LM And TaiESM1. The Net Ecosystem Productivity (NEP) simulated by the land surface process modules of the ESMs models above characterizes the carbon absorption dynamics during historical periods (1980-2014) and predicted scenarios (2015-2060). Convert all model raw data（ https://esgf-node.llnl.gov/search/cmip6/ ）Download and uniformly process it as an annual scale mean, then refer to existing research in China to uniformly resample it to a resolution of 0.5 °× 0.5 °, and finally perform spatial pruning based on the administrative boundaries of China to calculate the multimodal ensemble average. The dataset provides annual NEP data for China and various provinces. This dataset includes both historical (1980-2014) and predicted (2015-2060) CO2 emission data, and the raw data can be obtained from the CMIP6 driven data platform - Earth System Grid Federation (ESGF)（ https://esgf-node.llnl.gov/search/input4mips/ ）Publicly available, covering emission sources from multiple sectors, including agriculture, energy, industry, transportation, construction, solvent production and application, waste treatment, shipping, and negative emission technologies. After downloading the original NetCDF file from the ESGF node, the Chinese regional dataset underwent resolution, unit conversion, and time aggregation processing. All historical and scenario data were resampled to a resolution of 0.5 °× 0.5 °, and the original annual or monthly emission data was converted into annual emission fluxes. The dataset provides annual carbon emission data for the China region.  carbon emission; carbon sink; CMIP6; SSP Ge Rong Zhang Mengyu Xu Zhiyao Xu Qian He Honglin RESTRICTED dataset Science Data Bank