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Carbon monoxide, methane and carbon dioxide columns retrieved from SCIAMACHY by WFM-DOAS: year 2003 initial data set

机译:WFM-DOAS从SCIAMACHY检索的一氧化碳,甲烷和二氧化碳色谱柱:2003年初始数据集

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The near-infrarednadir spectra measured bySCIAMACHY on-boardENVISAT contain information onthe vertical columns of important atmospheric tracegases such ascarbon monoxide (CO), methane (CH4),and carbon dioxide (CO2).The scientific algorithmWFM-DOAS has been used to retrievethis information.ForCH4 and CO2 also column averaged mixing ratios(XCH4 and XCO2) have been determinedby simultaneous measurements of the dry air mass.All availablespectra of the year 2003have been processed.We describe the algorithm versions used togenerate the data (v0.4; for methanealso v0.41) and show comparisons of monthly averaged dataover land with global measurements (CO from MOPITT)and models (for CH4 and CO2).We show that elevated concentrations of CO resulting from biomass burninghave been detected in reasonable agreement withMOPITT. The measured XCH4 is enhanced overIndia, south-east Asia, andcentral Africa in September/October 2003 in line with modelsimulations, where they result from surface sources ofmethane such as rice fields and wetlands.The CO2 measurements over the Northern Hemisphere show the lowestmixing ratios around July in qualitative agreement with model simulationsindicating that the large scale pattern of CO2 uptakeby the growing vegetation can be detected with SCIAMACHY.We also identified potential problems such as a too low inter-hemisphericgradient for CO, a time dependent bias of the methanecolumns on the order of a few percent,and a few percent too high CO2 over parts of the Sahara.
机译:由SCIAMACHY在ENVISAT上测量的近红外光谱包含重要的大气微量气体的垂直柱信息,例如一氧化碳(CO),甲烷(CH 4 )和二氧化碳(CO 2 4 和CO 2 以及列平均混合比率(XCH 4 和XCO 2 )是通过同时测量干燥空气质量而确定的。2003年的所有可用光谱均已处理。我们描述了用于生成数据的算法版本(v0.4;对于甲烷也为v0.41 ),并显示了月平均数据与全球测量值(来自MOPITT的CO)和模型(对于CH 4 和CO 2 )的比较。已与MOPITT达成合理协议,检测到了来自生物质燃烧的烟气。根据模型模拟,2003年9月/ 10月在印度,东南亚和中部非洲对XCH 4 的测量值得到了增强,其模拟结果来自甲烷表面源,例如稻田和湿地。北半球的> 2 测量结果显示最低混合率与模型模拟在定性上吻合,表明SCIAMACHY可以检测到生长中的植被对CO 2 的大规模吸收。确定了潜在的问题,例如半球之间的CO梯度太低,甲烷柱随时间的偏差约为百分之几,而撒哈拉部分地区的CO 2 太高。

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