• Adv. Atmos. Sci.  2017, Vol. 34 Issue (8): 965-976    DOI: 10.1007/s00376-017-6221-4
    Monitoring Carbon Dioxide from Space: Retrieval Algorithm and Flux Inversion Based on GOSAT Data and Using CarbonTracker-China
    Dongxu YANG1,Huifang ZHANG2,Yi LIU1(),Baozhang CHEN2,3,4,Zhaonan CAI1,Daren LÜ1
    1Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    2State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    3University of Chinese Academy of Sciences, Beijing 100049, China
    4Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing 210023, China
    Abstract
    Abstract  

    Monitoring atmospheric carbon dioxide (CO2) from space-borne state-of-the-art hyperspectral instruments can provide a high precision global dataset to improve carbon flux estimation and reduce the uncertainty of climate projection. Here, we introduce a carbon flux inversion system for estimating carbon flux with satellite measurements under the support of "The Strategic Priority Research Program of the Chinese Academy of Sciences——Climate Change: Carbon Budget and Relevant Issues". The carbon flux inversion system is composed of two separate parts: the Institute of Atmospheric Physics Carbon Dioxide Retrieval Algorithm for Satellite Remote Sensing (IAPCAS), and CarbonTracker-China (CT-China), developed at the Chinese Academy of Sciences. The Greenhouse gases Observing SATellite (GOSAT) measurements are used in the carbon flux inversion experiment. To improve the quality of the IAPCAS-GOSAT retrieval, we have developed a post-screening and bias correction method, resulting in 25%-30% of the data remaining after quality control. Based on these data, the seasonal variation of XCO2 (column-averaged CO2 dry-air mole fraction) is studied, and a strong relation with vegetation cover and population is identified. Then, the IAPCAS-GOSAT XCO2 product is used in carbon flux estimation by CT-China. The net ecosystem CO2 exchange is -0.34 Pg C yr-1 ( 0.08 Pg C yr-1), with a large error reduction of 84%, which is a significant improvement on the error reduction when compared with in situ-only inversion.

    Keywords retrieval algorithm      satellite remote sensing      CO2      carbon flux      GOSAT     
    Issue Date: 29 June 2017
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    Dongxu YANG
    Huifang ZHANG
    Yi LIU
    Baozhang CHEN
    Zhaonan CAI
    Daren LÜ
    Cite this article:   
    Dongxu YANG,Huifang ZHANG,Yi LIU, et al. Monitoring Carbon Dioxide from Space: Retrieval Algorithm and Flux Inversion Based on GOSAT Data and Using CarbonTracker-China[J]. Adv. Atmos. Sci., 2017, 34(8): 965 -976 .
    URL:  
    http://159.226.119.58/aas/EN/10.1007/s00376-017-6221-4     OR     
    http://159.226.119.58/aas/EN/Y2017/V34/I8/965
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