TY  - Data
T1  - Global continuous 0.05 degree atmospheric carbon dioxide dataset (GCXCO2) based OCO-2 satellite, CAMS and CarbonTracker simulation data from 2000 to 2020
A1  - shf
DO  - 10.5281/zenodo.10083103
PY  - 2025
DA  - 2025-09-29
PB  - National Cryosphere Desert Data Center
AB  - Based on the development and testing of stacked machine learning methods, combined with land/ocean remote sensing data and model simulations, a global continuous 8-day XCO2 (dry air carbon dioxide column average mole fraction) product (GCXCO2) with a spatial resolution of 0.05 ° between 2000 and 2020 was reconstructed. The GCXCO2 product shares similar spatial distribution characteristics with OCO-2 satellite observations, but achieves seamless global coverage. Its spatial resolution and accuracy are superior to CarbonTracker and CAMS model simulation data. This product is one of the global high-precision long-term XCO2 datasets based on remote sensing technology, which not only helps to promote understanding of climate change and carbon balance, but also serves as an important tool for detecting abnormal carbon dioxide concentrations.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/86b63615-42d2-4e63-8b4a-10a540ed9bc7
ER  -