Yang Dongxu1; Zhang Huifang2; Liu Yi1; Chen Baozhang2; Cai Zhaonan1; Lu Daren1
Source Publicationadvancesinatmosphericsciences
AbstractMonitoring atmospheric carbon dioxide(CO_2) 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 Carbon Tracker-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 XCO_2(column-averaged CO_2dry-air mole fraction) is studied, and a strong relation with vegetation cover and population is identified. Then, the IAPCAS-GOSAT XCO_2 product is used in carbon flux estimation by CT-China. The net ecosystem CO_2 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.
Document Type期刊论文
2.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yang Dongxu,Zhang Huifang,Liu Yi,et al. monitoringcarbondioxidefromspaceretrievalalgorithmandfluxinversionbasedongosatdataandusingcarbontrackerchina[J]. advancesinatmosphericsciences,2017,034(008):965.
APA Yang Dongxu,Zhang Huifang,Liu Yi,Chen Baozhang,Cai Zhaonan,&Lu Daren.(2017).monitoringcarbondioxidefromspaceretrievalalgorithmandfluxinversionbasedongosatdataandusingcarbontrackerchina.advancesinatmosphericsciences,034(008),965.
MLA Yang Dongxu,et al."monitoringcarbondioxidefromspaceretrievalalgorithmandfluxinversionbasedongosatdataandusingcarbontrackerchina".advancesinatmosphericsciences 034.008(2017):965.
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