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首页> 外文期刊>Atmospheric Measurement Techniques Discussions >The SPARC water vapour assessment II: comparison of annual, semi-annual and quasi-biennial variations in stratospheric and lower mesospheric water vapour observed from satellites
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The SPARC water vapour assessment II: comparison of annual, semi-annual and quasi-biennial variations in stratospheric and lower mesospheric water vapour observed from satellites

机译:SPARC水蒸气评估II:从卫星观察到的平流层和较低的伴奏水蒸气的年度,半年和准两年两年两年差异的比较

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In the framework of the second SPARC (Stratosphere-troposphere Processes And their Role in Climate) water vapour assessment (WAVAS-II), the amplitudes and phases of the annual, semi-annual and quasi-biennial variation in stratospheric and lower mesospheric water were compared using 30?data sets from 13?different satellite instruments. These comparisons aimed to provide a comprehensive overview of the typical uncertainties in the observational database which can be considered in subsequent observational and modelling studies. For the amplitudes, a good agreement of their latitude and altitude distribution was found. Quantitatively there were differences in particular at high latitudes, close to the tropopause and in the lower mesosphere. In these regions, the standard deviation over all data sets typically exceeded 0.2?ppmv for the annual variation and 0.1?ppmv for the semi-annual and quasi-biennial variation. For the phase, larger differences between the data sets were found in the lower mesosphere. Generally the smallest phase uncertainties can be observed in regions where the amplitude of the variability is large. The standard deviations of the phases for all data sets were typically smaller than a month for the annual and semi-annual variation and smaller than 5?months for the quasi-biennial variation. The amplitude and phase differences among the data sets are caused by a combination of factors. In general, differences in the temporal variation of systematic errors and in the observational sampling play a dominant role. In addition, differences in the vertical resolution of the data, the considered time periods and influences of clouds, aerosols as well as non-local thermodynamic equilibrium (NLTE) effects cause differences between the individual data sets.
机译:在第二个SPARC的框架(平流层 - 对流层过程及其在气候中的作用)水蒸气评估(WAVAS-II),年度,半年度和分段和较低的腰椎水中的年度,半年和拟两年两年的变化的幅度和阶段是使用30?数据集从13个?不同的卫星仪器。这些比较旨在全面概述观察数据库中的典型不确定性,可以在随后的观察和建模研究中考虑。对于幅度,发现了他们的纬度和高度分布的良好一致性。定量地,特别是在高纬度地区的差异,靠近对流层和较低的介体。在这些区域中,对所有数据集的标准偏差通常超过0.2?PPMV为年度变化和半年和准双年变化的0.1 ppmv。对于阶段,在较低的介体层中发现了数据集之间的较大差异。通常,在变异性幅度大的区域中可以观察到最小相位不确定性。所有数据集的阶段的标准偏差通常小于年度和半年度变异的一个月,比例为每两年变异的数月。数据集之间的幅度和相位差异是由因子的组合引起的。一般来说,系统误差和观察抽样中的时间变化的差异起到了显着作用。此外,数据的垂直分辨率的差异,所考虑的时间段和云,气溶胶以及非局部热力学平衡(NLTE)效应的影响导致各个数据集之间的差异。
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