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首页> 外文期刊>Atmospheric chemistry and physics >Validation of ENVISAT/SCIAMACHY columnar methane by solar FTIR spectrometry at the Ground-Truthing Station Zugspitze
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Validation of ENVISAT/SCIAMACHY columnar methane by solar FTIR spectrometry at the Ground-Truthing Station Zugspitze

机译:在楚格峰真地面站的太阳FTIR光谱法验证ENVISAT / SCIAMACHY柱状甲烷

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Methane total-vertical column retrievals from ground-based solar FTIRmeasurements at the Permanent Ground-Truthing Station Zugspitze (47.42° N,10.98° E, 2964m a.s.l.), Germany are used to validate column averagedmethane retrieved from ENVISAT/SCIAMACHY spectra by WFM-DOAS (WFMD) version0.4 and 0.41 for 153 days in 2003. Smoothing errors are estimated to bebelow 0.10% for FTIR and 0.14% for SCIAMACHY-WFMD retrievals and canbe neglected for the assessment of observed bias and day-to-day-scatter. Inorder to minimize the altitude-difference effect, dry-air column averagedmixing ratios (XCH4) have been utilized. From the FTIR-time series ofXCH4 an atmospheric day-to-day variability of 1% was found, and asinusoidal annual cycle with a ≈1.6% amplitude. To obtain theWFMD bias, a polynomial fitted to the FTIR series was used as a reference.The result is WFMD v0.4/FTIR=1.008±0.019 and WFMD v0.41/FTIR=1.058±0.008.WFMD v0.41 was significantly improved by atime-dependent bias correction. It can still not capture the naturalday-to-day variability, i.e., the standard deviation calculated from thedaily-mean values is 2.4% using averages within a 2000-km radius, and2.7% for a 1000-km radius. These numbers are dominated by a residualtime-dependent bias in the order of 3%/month. The latter can bereduced, e.g., from 2.4% to 1.6% as shown by an empiricaltime-dependent bias correction. Standard deviations of the daily means,calculated from the individual measurements of each day, are excludingtime-dependent biases, thus showing the potential precision of WFMD dailymeans, i.e., 0.3% for a 2000-km selection radius, and 0.6% for a1000-km selection radius. Therefore, the annual cycle as well as possibly the day-to-dayvariability could be captured under the prerequisite of further advanced time-dependentbias corrections, or the use of other channels, where the icing issue is less prominent.
机译:在德国永久性地面站楚格峰(47.42°N,10.98°E,2964m asl)的地面太阳FTIR测量中提取的甲烷总垂直柱用于验证通过WFM-DOAS从ENVISAT / SCIAMACHY光谱中回收的甲烷平均柱(WFMD)版本0.4和0.41在2003年的153天中。FTIR的平滑误差估计低于0.10%,SCIAMACHY-WFMD检索的平滑误差估计低于0.14%,并且对于评估观察到的偏差和日常散布可以忽略不计。为了使高度差效应最小化,已利用干燥空气柱的平均混合比(XCH 4 )。从XCH 4 的FTIR时间序列中发现,大气的日常变化为1%,且非正弦年周期的振幅约为1.6%。为了获得WFMD偏差,使用拟合FTIR序列的多项式作为参考,结果是WFMD v0.4 / FTIR = 1.008±0.019和WFMD v0.41 / FTIR = 1.058±0.008.WFMD v0.41得到了显着改善通过与时间有关的偏差校正。它仍然无法捕获自然的日常变化,即使用2000公里半径范围内的平均值从每日平均值计算得出的标准偏差为2.4%,而1000公里半径范围内为2.7%。这些数字受剩余时间相关偏差的影响,约为每月3%。后者可以减少,例如从2.4%降低到1.6%,如经验依赖时间的偏差校正所示。由每天的单独测量得出的每日平均值的标准偏差不包括与时间有关的偏差,因此显示了WFMD每日平均值的潜在精度,即2000 km选择半径为0.3%,a1000 km选择为0.6%选择半径。因此,可以在结冰问题不那么突出的情况下,在进一步高级的时变偏差校正或使用其他渠道的前提下,捕获年度周期以及可能的每日变化。

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