Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5355-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-5355-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Oct 2025
Data description paper |
| 15 Oct 2025
| 15 Oct 2025
A full-coverage satellite-based global atmospheric CO2 dataset at 0.05° resolution from 2015 to 2021 for exploring global carbon dynamics
Zhige Wang
State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, 310058, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK
UK Centre for Ecology & Hydrology, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK
Kejian Shi
School of Geographical Sciences, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
Yulin Shangguan
State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, 310058, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Bifeng Hu
Department of Land Resource Management, School of Public Administration, Jiangxi University of Finance and Economics, Nanchang, 330013, China
Key Laboratory of Data Science in Finance and Economics of Jiangxi Province, Jiangxi University of Finance and Economics, Nanchang, 330013, China
Xueyao Chen
State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, 310058, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Department of Earth and Environmental Sciences, Faculty of Science, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China
Danqing Wei
State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, 310058, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Zhejiang Economic Information Center, Hangzhou, 310006, China
State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, 310058, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
Peter M. Atkinson
Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Data sets
A monthly full-coverage satellite-based global atmospheric CO2 dataset at 0.05° resolution from 2015 to 2021 Zhige Wang et al. https://doi.org/10.5281/zenodo.12706142
Short summary
The irreversible trend in global warming underscores the necessity for accurate monitoring of atmospheric carbon dynamics on a global scale. This study generated a global dataset of column-averaged dry-air mole fraction of CO2 (XCO2) at 0.05° resolution with full coverage using carbon satellite data and a deep learning model. The dataset accurately depicts global and regional XCO2 patterns, advancing the monitoring of carbon emissions and understanding of global carbon dynamics.
The irreversible trend in global warming underscores the necessity for accurate monitoring of...
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