2026-10-14T21:58:29Z https://www.scidb.cn/oai

10.57760/sciencedb.33694 2025-12-18T11:09:10Z

2025-12-18 Construction of a 0.01° Monthly Seamless XCO₂ Dataset over China Based on a Temporally Adaptive Forest Model doi:10.57760/sciencedb.33694 en 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. OCO-2/3; XCO₂; Timing adaptive framework; Carbon Sources and Sinks Zhang Wenkai Chen Xi Duan Li Song Shiran Zhou Qian PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank