中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-year comparison of carbon dioxide from satellite data with ground-based FTS measurements (2003-2011)

文献类型:EI期刊论文

作者Zhu Yunqiang; Wang Juanle; Sun Jiulin
发表日期2013
关键词Satellites Carbon dioxide Greenhouse gases Infrared devices Infrared instruments Spectrometers
英文摘要This paper presents a comparison of CO2 products derived from Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY), Greenhouse Gases Observing Satellite (GOSAT) and Atmospheric Infrared Sounder (AIRS), with reference to calibration data obtained using the high-resolution ground-based Fourier Transform Spectrometers (g-b FTS) in the Total Carbon Column Observing Network (TCCON). Based on the monthly averages, we calculate the global offsets and regional relative precisions between satellite products and g-b FTS measurements. The results are as follows: the monthly means of SCIAMACHY data are systemically slightly lower than g-b FTS, but limited in coverage; the GOSAT data are superior in stability, but inferior in systematic error; the mean difference between AIRS data and that of g-b FTS is small; and the monthly global coverage is above 95%. Therefore, the AIRS data are better than the other two satellite products in both coverage and accuracy. We also estimate linear trends based on monthly mean data and find that the differences between the satellite products and the g-b FTS data range from 0.25 ppm (SCIAMACHY) to 1.26 ppm (AIRS). The latitudinal distributions of the zonal means of the three satellite products show similar spatial features. The seasonal cycle of satellite products also illustrates the same trend with g-b FTS observations. 2013 by the authors; licensee MDPI, Basel, Switzerland.
出处Remote Sensing
5期:7页:3431-3456
收录类别EI
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/31332]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Zhu Yunqiang,Wang Juanle,Sun Jiulin. Multi-year comparison of carbon dioxide from satellite data with ground-based FTS measurements (2003-2011). 2013.

入库方式: OAI收割

来源:地理科学与资源研究所

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