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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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摘要

We examine volume mixing ratios (vmr) retrieved from limb emission spectra recorded with the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on board Envisat. In level 2 (L2) data products of three different retrieval processors, which perform one dimensional (1-D) retrievals, we find significant differences between species' profiles from ascending and descending orbit parts. The relative differences vary systematically with time of the year, latitude, and altitude. In the lower stratosphere their monthly means can reach maxima of 20% for CFC-11, CFC-12, HNO3, H2O, 10% for CH4 and N2O. Relative differences between monthly means of 1-D retrieval results and of the true atmospheric state can be expected to reach half of these percentage values, while relative differences in single vmr profiles might well exceed those numbers. Often there are no physical or chemical reasons for these differences, so they are an indicator for a problem in the data processing. The differences are generally largest at locations where the meridional temperature gradient of the atmosphere is strong. On the contrary, when performing the retrieval with a tomographic two dimensional (2-D) retrieval, L2 products generally do not show these differences. This suggests that inhomogeneities in the temperature field, and possibly in the species' fields, which are accounted for in the 2-D algorithm and not in standard 1-D processors, may cause significant deviations in the results. Inclusion of an externally given adequate temperature gradient in the forward model of a 1-D processor helps to reduce the observed differences. However, only the full tomographic 2-D approach is suitable to resolve the horizontal inhomogeneities. Implications for the use of the 1-D data, e.g. for validation, are discussed. The dependence of the ascending/descending differences on the observation strategy suggests that this problem may affect 1-D retrievals of infrared limb sounders, if the line of sight of the instrument has a significant component in the direction of the horizontal temperature variation. © Author(s) 2010.
机译:我们检查了从Envisat板上的迈克尔逊干涉仪记录的肢体发射光谱中检索到的体积混合比(vmr),以进行被动大气探测(MIPAS)。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。相对差异随一年中的时间,纬度和海拔高度而系统地变化。在平流层下部,CFC-11,CFC-12,HNO3,H2O的月平均值最高可达20%,CH4和N2O的平均值为10%。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预计将达到这些百分比值的一半,而单个vmr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原因,因此它们指示数据处理中存在问题。差异通常在大气的子午温度梯度很强的位置处最大。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中以及物种场中的不均匀性可能会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少观察到的差异。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。 ©作者2010。

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