A study of the validation of atmospheric CO2 from satellite hyper spectral remote sensing

被引：0

作者：

ZHANG Miao ^{[1
]}

ZHANG Xing-Ying ^{[1
]}

LIU Rui-Xia ^{[1
]}

HU Lie-Qun ^{[2
]}

机构：

[1] Key Lab of Radiometric Calibration and Validation for Environmental Satellites/National Satellite Meteorological Center,China Meteorological Administration

[2] Urumqi Meteorological Satellite Ground Station

来源：

AdvancesinClimateChangeResearch | 2014年 / 5卷 / 03期

基金：

中国国家自然科学基金;

关键词：

CO2; Satellite remote sensing; Validation;

D O I：

暂无

中图分类号：

X87 [环境遥感]; X16 [环境气象学];

学科分类号：

1404 ; 0706 ; 070602 ;

摘要：

Three total column dry-air mole fractions of CO2(XCO2) products from satellite retrievals, namely 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 showed that the satellite data have the same seasonal fluctuations as in the TCCON data, with maximum in April or May and minimum in August or September. The three products all underestimate the XCO2. The ACOS-GOSAT and the NIES-GOSAT products are roughly equivalent, and their mean standard deviations are 2.26 × 10-6and 2.27 × 10-6respectively. The accuracy of the SCIMACHY product is slightly lower, with a mean standard deviation of 2.91 × 10-6.

引用

页码：131 / 135

页数：5

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