Construction of a 0.01° Monthly Seamless XCO₂ Dataset over China Based on a Temporally Adaptive Forest Model

Based on the time-series adaptive forest model (TAF), this dataset integrates OCO-2 / 3 satellite observation data and multi-source environmental variables to reconstruct the seamless XCO2 raster data with a spatial resolution of 0.01 ° from January 2015 to December 2022 in China. The coordinate system is WGS-1984. The dataset is suitable for regional carbon emission analysis, carbon source and sink assessment, climate modeling and policy formulation.