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Diurnal variations of humidity and ice water content in the tropical upper troposphere

机译:热带上层湿度湿度和冰水含量的昼夜变化

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Observational results of diurnal variations of humidity from Odin-SMR and AURA-MLS, and cloud ice mass from Odin-SMR and CloudSat are presented for the first time. Comparisons show that the retrievals of humidity and cloud ice from these two satellite combinations are in good agreement. The retrieved data are combined from four almost evenly distributed times of the day allowing mean values, amplitudes and phases of the diurnal variations around 200 hpa to be estimated. This analysis is applied to six climatologically distinct regions, five located in the tropics and one over the subtropical northern Pacific Ocean. The strongest diurnal cycles are found over tropical land regions, where the amplitude is ~7 RHi for humidity and ~50% for ice mass. The greatest ice mass for these regions is found during the afternoon, and the humidity maximum is observed to lag this peak by ~6 h. Over tropical ocean regions the variations are smaller and the maxima in both ice mass and humidity are found during the early morning. Observed results are compared with output from three climate models (ECHAM, EC-EARTH and CAM3). Direct measurement-model comparisons were not possible because the measured and modelled cloud ice masses represent different quantities. To make a meaningful comparison, the amount of snow had to be estimated from diagnostic parameters of the models. There is a high probability that the models underestimate the average ice mass (outside the 1- uncertainty). The models also show clear deficiencies when it comes to amplitude and phase of the regional variations, but to varying degrees.
机译:首次介绍了Odin-SMR和Aura-MLS的湿度湿度的湿度变化的观察结果,以及Odin-SMR和Cloudsat的云冰块。比较表明,来自这两个卫星组合的湿度和云冰的检索是良好的一致性。检索到的数据与当天的四个几乎均匀分布的时间组合,允许估计大约200hPa约200hPa的平均值,幅度和阶段的平均值,幅度和阶段。该分析适用于六个气候学,不同的地区,五个位于热带地区,以及一个在亚热带北太平洋的一个。热带地区发现最强的昼夜循环,其中振幅为〜7次湿度,冰块〜50%。在下午发现这些区域的最大冰块,并且观察到湿度最大值滞后〜6小时。在热带海洋地区,变化较小,在清晨发现冰块和湿度的最大值。观察结果与三个气候模型(ECHAM,EC-Tember和Cam3)的输出进行比较。直接测量模型比较是不可能的,因为测量和建模的云冰块表示不同的数量。为了进行有意义的比较,必须从模型的诊断参数估算雪数量。模型低估了平均冰块(在1-不确定性之外)存在很高的可能性。当涉及区域变异的幅度和阶段,而且可以在区域变化的幅度和阶段表现出明显的缺陷。

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