Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution

Open Access

Peer-reviewed

Research Article

Combining XCO₂ Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO₂ Maps with High Spatiotemporal Resolution

Tianxing Wang ,

* E-mail: wangtx@radi.ac.cn

Affiliation State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing, China
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Jiancheng Shi,

Affiliation State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing, China
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Yingying Jing,

Affiliation State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing, China
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Tianjie Zhao,

Affiliation State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing, China
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Dabin Ji,

Affiliation State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing, China
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Chuan Xiong

Affiliation State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing, China
⨯

Carbon dioxide
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Atmospheric clouds
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Measurement
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Algorithms
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Atmosphere
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Global warming
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Carbon cycle
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Cartography
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