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首页> 外文期刊>Atmospheric chemistry and physics >Comparisons between SCIAMACHY and ground-based FTIR data for total columns of CO, CHsub4/sub, COsub2/sub and Nsub2/subO
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Comparisons between SCIAMACHY and ground-based FTIR data for total columns of CO, CHsub4/sub, COsub2/sub and Nsub2/subO

机译：SCIAMACHY和地面FTIR数据对CO，CH 4 ，CO 2 和N 2 O总列的比较

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摘要

Total column amounts of CO, CH4, CO2 and N2O retrieved fromSCIAMACHY nadir observations in its near-infrared channels have beencompared to data from a ground-based quasi-global network ofFourier-transform infrared (FTIR) spectrometers. The SCIAMACHY dataconsidered here have been produced by three different retrieval algorithms,WFM-DOAS (version 0.5 for CO and CH4 and version 0.4 for CO2 andN2O), IMAP-DOAS (version 1.1 and 0.9 (for CO)) and IMLM (version 6.3)and cover the January to December 2003 time period. Comparisons have beenmade for individual data, as well as for monthly averages. To maximize thenumber of reliable coincidences that satisfy the temporal and spatialcollocation criteria, the SCIAMACHY data have been compared with a temporal3rd order polynomial interpolation of the ground-based data. Particularattention has been given to the question whether SCIAMACHY observescorrectly the seasonal and latitudinal variability of the target species.The present results indicate that the individual SCIAMACHY data obtainedwith the actual versions of the algorithms have been significantly improved,but that the quality requirements, for estimating emissions on regionalscales, are not yet met. Nevertheless, possible directions for furtheralgorithm upgrades have been identified which should result in more reliabledata products in a near future.
机译：从SCIAMACHY天底观测中在其近红外通道中检索到的CO，CH 4 ，CO 2 和N 2 O的总柱量已与数据进行了比较来自傅立叶变换红外（FTIR）光谱仪的地面准全球网络。这里考虑的SCIAMACHY数据是通过三种不同的检索算法产生的：WFM-DOAS（CO和CH 4 的版本为0.5，CO 2 和N 2 < /sub>O）、IMAP-DOAS（1.1和0.9版（针对CO）和IMLM（6.3版）），涵盖了2003年1月至2003年12月的时间段。对单个数据以及每月平均值进行了比较。为了最大化满足时间和空间并置标准的可靠符合的数量，已将SCIAMACHY数据与基于地面的数据的时间三阶多项式插值进行了比较。特别关注了SCIAMACHY是否正确观察了目标物种的季节性和纬度变异性。目前的结果表明，使用该算法的实际版本获得的单个SCIAMACHY数据已经得到了显着改善，但是对估算排放量的质量要求在区域范围内，尚未达到。但是，已经确定了进一步算法升级的可能方向，这将在不久的将来产生更可靠的数据产品。

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