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Detection of land-surface-induced atmospheric water vapor patterns

机译:检测陆地诱导的大气水蒸气图案

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Finding observational evidence of land surface and atmosphere interactions is crucial for understanding the spatial and temporal evolution of the boundary layer, as well as for model evaluation, and in particular for large-eddy simulation (LES) models. In this study, the influence of a heterogeneous land surface on the spatial distribution of atmospheric water vapor is assessed. Ground-based remote sensing measurements from a scanning microwave radiometer (MWR) are used in a long-term study over 6?years to characterize spatial heterogeneities in integrated water vapor (IWV) during clear-sky conditions at the Jülich ObservatorY for Cloud Evolution (JOYCE). The resulting deviations from the mean of the scans reveal a season- and direction-dependent IWV that is visible throughout the day. Comparisons with a satellite-derived spatial IWV distribution show good agreement for a selection of satellite overpasses during convective situations but no clear seasonal signal. With the help of a land use type classification and information on the topography, the main types of regions with a positive IWV deviation were determined to be agricultural fields and nearby open pit mines. Negative deviations occurred mainly above elevated forests and urban areas. In addition, high-resolution large-eddy simulations (LESs) are used to investigate changes in the water vapor and cloud fields for an altered land use input.
机译:寻找陆地表面和大气相互作用的观察证据对于了解边界层的空间和时间演变以及模型评估,以及用于大型涡模拟(LES)模型的旨在至关重要。在该研究中,评估了异质地面对大气水蒸气空间分布的影响。从扫描微波辐射计(MWR)的基于地基遥感测量以超过6岁的长期研究使用,以在Jülich演化的透明天文台的清晰度条件下表征集成水蒸气(IWV)中的空间异质性(乔伊斯)。由此产生的偏差与扫描的平均值显示出一天中可见的季节和方向依赖性IWV。与卫星衍生的空间IWV分布的比较显示在对流情况下选择卫星立交桥的良好协议,但没有明确的季节性信号。借助土地利用类型分类和信息的信息,确定具有正IWV偏差的主要区域,被确定为农业领域和附近的露天矿。森林和城市地区主要出现负面偏差。此外,高分辨率大涡模拟(较少)用于研究改变土地利用输入的水蒸气和云场的变化。

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