China Carbon Neutrality Dataset Based on CMIP6 and SSP-RCP Scenario Combination

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（ 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.