卫星高光谱大气CO2遥感反演精度地基验证研究

doi:10.3969/j.issn.1673-1719.2014.06.005

气候变化研究进展 ›› 2014, Vol. 10 ›› Issue (6): 427-432.doi: 10.3969/j.issn.1673-1719.2014.06.005

卫星高光谱大气CO₂遥感反演精度地基验证研究

张淼,张兴赢,刘瑞霞

中国气象局中国遥感卫星辐射测量和定标重点开放实验室/国家卫星气象中心，北京 100081

收稿日期:2014-05-26 修回日期:2014-07-02 出版日期:2014-11-30 发布日期:2014-11-30
通讯作者: 张淼
基金资助:
国家863计划项目资助;国家自然科学基金

Study on the Validation of Atmospheric CO₂ from Satellite Hyper Spectral Remote Sensing

Zhang Miao, Zhang Xingying, Liu Ruixia

Key Lab of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration (LRCVES, CMA)/National Satellite Meteorological Center, Beijing 100081, China

Received:2014-05-26 Revised:2014-07-02 Online:2014-11-30 Published:2014-11-30

摘要/Abstract

摘要： 利用TCCON网站提供的北半球7个地面观测站CO₂干空气混合比（XCO₂）数据，对3种卫星反演的XCO₂产品进行了验证，包括SCIAMACHY产品、NIES-GOSAT产品和ACOS-GOSAT产品。结果表明：卫星CO₂遥感反演产品与地基遥感资料具有较一致的季节性周期变化，一年中月平均浓度最高值均出现在4月和5月，最低值均出现在8月和9月；相对于地面观测，3种卫星产品均低估了XCO₂；ACOS-GOSAT产品与NIES-GOSAT产品的精度大体相当，误差标准差分别为2.26×10^-6和2.27×10^-6；SCIAMACHY产品的精度略差，误差标准差为2.91×10^-6。

关键词: 大气CO₂, 卫星遥感, 地基验证

Abstract: Three total column dry-air mole fractions of CO₂ (XCO₂) products from satellite retrievals, including SCIAMACHY, NIES-GOSAT, and ACOS-GOSAT, in the Northern Hemisphere were validated by ground data from the Total Carbon Column Observing Network (TCCON). The results show that the satellite data show the same seasonal fluctuations with TCCON, in general with maximum in April or May and minimum in August or September. The three products all underestimate the XCO₂. The accuracy of the ACOS-GOSAT product is almost the same as the NIES-GOSAT product, and their mean standard deviations are 2.26×10^-6 and 2.27×10^-6 , respectively. The accuracy of the SCIAMACHY product is slightly lower, with mean standard deviation of 2.91×10^-6.

Key words: CO₂, satellite remote sensing, validation

张淼，张兴赢，刘瑞霞. 卫星高光谱大气CO₂遥感反演精度地基验证研究[J]. 气候变化研究进展, 2014, 10(6): 427-432.

Zhang Miao, Zhang Xingying, Liu Ruixia. Study on the Validation of Atmospheric CO₂ from Satellite Hyper Spectral Remote Sensing[J]. Climate Change Research, 2014, 10(6): 427-432.

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卫星高光谱大气CO₂遥感反演精度地基验证研究

Study on the Validation of Atmospheric CO₂ from Satellite Hyper Spectral Remote Sensing

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