Journal
CHINESE SCIENCE BULLETIN
Volume 58, Issue 13, Pages 1520-1523Publisher
SCIENCE PRESS
DOI: 10.1007/s11434-013-5680-y
Keywords
retrieval algorithm; satellite remote sensing; XCO2; sources and sinks; TanSat
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Funding
- Strategic Priority Research Program-Climate Change: Carbon Budget and Relevant Issues [XDA05040200]
- National High-tech RD Program [2011AA12A104]
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This study developed a highly accurate retrieval algorithm for the column-averaged CO2 dry-air mixing ratio (XCO2) to be observed by TanSat, China's carbon dioxide observation satellite that will be launched in 2015. The Greenhouse Gases Observing Satellite (GOSAT) L1B spectrum was applied in retrieval experiment, and the results were validated with ground-observed measurements from the Total Column Carbon Observing Network (TCCON). At mid-latitudes, most results fell in the 1% error region, which correspond to the performance of GOSAT algorithm. The results also showed seasonal variation in XCO2 in both hemispheres.
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