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An advanced carbon dioxide retrieval algorithm for satellite measurements and its application to GOSAT observations

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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.

Retrieval algorithmSatellite remote sensingCarbon dioxideCarbon fluxGOSAT

Dongxu Yang、Yi Liu、Zhaonan Cai、Jianbo Deng、Jing Wang、Xi Chen

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Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing 100029, China

Hunan Institute of Meteorological Sciences, Changsha 410118, China

University of Chinese Academy of Sciences, Beijing 100049, China

This work was supported by the Strategic Priority Research Program-Climate Change: Carbon Budget and Relevant IssuesNational High-tech Research and Development Program

XDA050402002011AA12A104

2015

10.1007/s11434-015-0953-2

科学通报(英文版)
中国科学院

科学通报(英文版)

SCI
ISSN：1001-6538
年,卷(期)：2015.60(23)
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