Abstract
An advanced carbon dioxide retrieval algorithm for satellite observations has been developed at the Institute of Atmospheric Physics, Chinese Academy of Sciences. The algorithm is tested using Greenhouse gases Observing SATellite (GOSAT) L1B data and validated using the Total Column Carbon Observing Network (TCCON) measurements. The retrieved XCO2 agrees well with TCCON measurements in a low bias of 0.15 ppmv and RMSE of 1.48 ppmv, and captured the seasonal variation and increasing of XCO2 in Northern and Southern Hemisphere, respectively, as other measurements.
摘要
介绍最新版大气二氧化碳卫星遥感反演算法及其在GOSAT(Greenhouse gases Observing SATellite)卫星观测中的应用。经全球地基观测网TCCON(the total column carbon observing network)验证,大气二氧化碳混合比 (XCO2)反演精度为: 平均偏差0.15 ppmv、均方根误差1.48 ppmv,这一结果既可以用于反演地面碳源汇, 也可以反映出大气二氧化碳的季节变化特征。
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Acknowledgments
This work was supported by the Strategic Priority Research Program—Climate Change: Carbon Budget and Relevant Issues (XDA05040200) and the National High-tech Research and Development Program (2011AA12A104). The cooperation with SRC-EOS, University of Leicester, is highly appreciated. The authors would like to thank GOSAT project and TCCON for providing the observation data. The authors would like to thank ACOS, GOSAT, and RemoTeC scientific research team for the valuable suggestion and recommendation.
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The authors declare that they have no conflict of interest.
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Yang, D., Liu, Y., Cai, Z. et al. An advanced carbon dioxide retrieval algorithm for satellite measurements and its application to GOSAT observations. Sci. Bull. 60, 2063–2066 (2015). https://doi.org/10.1007/s11434-015-0953-2
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DOI: https://doi.org/10.1007/s11434-015-0953-2