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The evaluation of SCIAMACHY CO and CH_4 scientific data products, using ground-based FTIR measurements

机译:使用地面FTIR测量对SCIAMACHY CO和CH_4科学数据产品进行评估

摘要

In the framework of the European EVERGREEN project, three scientific algorithms, namely WFM-DOAS, IMAPDOASudand IMLM, have been developed to retrieve the total column amounts of key atmospheric trace gases includingudCO and CH_4 from SCIAMACHY nadir observations in its near-infrared channels. These channels offer the capability touddetect trace gases in the planetary boundary layer, potentially making the associated retrieval products suited forudregional source-sink studies.udThe retrieval products of these three algorithms, in their present status of development, have been compared toudindependent data from a ground-based quasi-global network of Fourier-transform infrared (FTIR) spectrometers, for theudyear 2003. Comparisons have been made for individual data, as well as for monthly averages. To maximize the numberudof coincidences that satisfy the temporal and spatial collocation criteria, the individual SCIAMACHY data points haveudbeen compared with a 3rd order polynomial interpolation of the ground-based data with time. Particular attention hasudbeen paid to the question whether the products reproduce correctly the seasonal and latitudinal variabilities of the targetudspecies. We present an overall assessment of the data quality of the currently available latest versions of the CO and CH4udtotal column products from the three scientific retrieval algorithms.
机译:在欧洲EVERGREEN项目的框架内,已开发出三种科学算法,即WFM-DOAS,IMAPDOAS ud和IMLM,以从SCIAMACHY天底观测附近的关键大气痕量气体(包括 udCO和CH_4)的总柱量中检索出以下数据:红外通道。这些通道提供了 uddetect行星边界层中痕量气体的功能,可能使相关的检索产品适用于 udregion的源汇研究。 ud已经比较了这三种算法的检索产品,以其目前的发展状况为例。到2003年底,来自地面准全球傅里叶变换红外(FTIR)光谱仪网络的数据。对单个数据以及月平均值进行了比较。为了使满足时间和空间搭配标准的重合次数最大化,将单个SCIAMACHY数据点与随时间变化的地面数据的三阶多项式插值进行比较。人们特别关注了产品是否正确地复制了目标物种的季节性和纬度变异性的问题。我们对来自三种科学检索算法的CO和CH4 总色谱柱产品的当前可用最新版本的数据质量进行了全面评估。

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