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Impact of temperature field inhomogeneities on the retrieval of atmospheric species from MIPAS IR limb emission spectra

机译:温度场非均匀性对从MIPAS红外肢体发射光谱中检索大气物质的影响

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We examine volume mixing ratios (vmr) retrieved from limb emission spectrarecorded with the Michelson Interferometer for Passive Atmospheric Sounding(MIPAS) on board Envisat. In level 2 (L2) data products of three different retrievalprocessors, which perform one dimensional (1-D) retrievals, we findsignificant differences between species' profiles from ascending anddescending orbit parts. The relative differences vary systematically withtime of the year, latitude, and altitude. In the lower stratosphere theirmonthly means can reach maxima of 20% for CFC-11, CFC-12, HNO3, H2O,10% for CH4 and N2O. Relative differences between monthly means of1-D retrieval results and of the true atmospheric state can be expected toreach half of these percentage values, while relative differences in singlevmr profiles might well exceed those numbers. Often there are no physical orchemical reasons for these differences, so they are an indicator for aproblem in the data processing. The differences are generally largest atlocations where the meridional temperature gradient of the atmosphere isstrong. On the contrary, when performing the retrieval with a tomographic twodimensional (2-D) retrieval, L2 products generally do not show thesedifferences. This suggests that inhomogeneities in the temperature field, andpossibly in the species' fields, which are accounted for in the 2-D algorithmand not in standard 1-D processors, may cause significant deviations in theresults. Inclusion of an externally given adequate temperature gradient inthe forward model of a 1-D processor helps to reduce the observeddifferences. However, only the full tomographic 2-D approach is suitable toresolve the horizontal inhomogeneities. Implications for the use of the 1-Ddata, e.g. for validation, are discussed. The dependence of theascending/descending differences on the observation strategy suggests thatthis problem may affect 1-D retrievals ofinfrared limb sounders, if the line of sight of the instrument has asignificant component in the direction of the horizontal temperaturevariation.
机译:我们检查了从Envisat上用迈克尔逊干涉仪记录的肢体发射光谱中检索到的被动混合大气探测(MIPAS)的体积混合比(vmr)。在执行一维(1-D)检索的三个不同检索处理器的2级(L2)数据产品中,我们从上升和下降轨道部分发现了物种轮廓之间的显着差异。相对差异会随着一年中的时间,纬度和海拔高度而系统地变化。在平流层下部,CFC-11,CFC-12,HNO 3 ,H 2 O的月平均值最高可达20%,CH 4的月平均值可达10% 和N 2 O。一维检索结果的月平均值与真实大气状态之间的相对差异有望达到这些百分比值的一半,而singlevmr配置文件中的相对差异可能会远远超过这些数值。这些差异通常没有物理或化学的原因,因此它们是数据处理中存在问题的指标。差异通常是大气子午温度梯度很强的最大位置。相反,当使用断层扫描二维(2-D)检索进行检索时,L2产品通常不会显示这些差异。这表明,在二维算法中而不是在标准一维处理器中考虑的温度场以及物种场中的不均匀性可能导致结果的显着偏差。一维处理器的正向模型中包含外部给定的适当温度梯度有助于减小观察到的差异。但是,只有完整的断层扫描二维方法适合解决水平不均匀性。一维数据使用的含义,例如进行验证。上升/下降差异对观测策略的依赖性表明,如果仪器的视线在水平温度变化方向上具有重要分量,则此问题可能会影响红外肢体发声器的一维检索。

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