Construction of a 0.01° Monthly Seamless XCO₂ Dataset over China Based on a Temporally Adaptive Forest Model
收藏科学数据银行2025-12-16 更新2026-04-23 收录
下载链接：
https://www.scidb.cn/detail?dataSetId=9f8e55c6b95a4dfbbe74ab3f2e653162
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资源简介：
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.
提供机构：
Xinjiang Key Laboratory of RS&GIS Application; University of Chinese Academy of Sciences; Xinjiang Institute of Ecology and Geography,Chinese Academy of Science; Zhejiang University of Technology; Xinjiang University; Xinjiang Institute of Ecology and Geography; Research Center for Ecology and Environment of Central Asia,Chinese Academy of Science; Research Center for Ecology and Environment of Central Asia,Chinese Academy of Sciences
创建时间：
2025-12-16
