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Space-time structure of mesoscale motions in the stable boundary layer

机译:稳定边界层中尺度运动的时空结构

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摘要

In this article, we examine the stochastic characteristics of non-turbulent motions in the stable boundary layer. The behaviour of mesoscale motions in the atmospheric stable boundary layer is poorly understood beyond case studies of unusually well-defined events or monotonic waves. Eight networks of wind observations are analysed in order to examine stochastically the space-time characteristics of such motions in the stable boundary layer. The networks include a variety of surface conditions and network configurations, although none of the networks is optimal for our studies. Collectively, the networks allow examination of scales from tens of metres to tens of kilometres. A variety of analysis tools reveal the complexity of mesoscale motions near the surface in stratified flow. For the data as a whole, the horizontal scale of coherence increases systematically with time-scale, albeit with large scatter between records. The relationship between spatial coherence and time-scale is posed in terms ofa velocity scale, which is found to be unrelated to the wind speed. The time variability of the flow decreases systematically with increasing spatial averaging, suggesting that comparison of model winds (with implied spatial averaging over the grid area)with observations requires suitable spatial averaging of the observations. Additional characteristics are discussed in terms of non-dimensional ratios of velocity scales. Necessary improvements of network measurements are also noted.
机译:在本文中,我们研究了稳定边界层中非湍流运动的随机特征。除了对异常定义明确的事件或单调波的案例研究以外,对大气稳定边界层中中尺度运动的行为了解甚少。分析了八个风观测网络,以便在稳定边界层中随机检查此类运动的时空特性。这些网络包括各种地表条件和网络配置,尽管这些网络都不是我们研究的最佳选择。集体地,网络允许检查从数十米到数十公里的秤。多种分析工具揭示了分层流中地表附近中尺度运动的复杂性。对于整个数据,连贯性的水平尺度随着时间尺度而系统地增加,尽管记录之间的分散程度很大。空间相干性和时间尺度之间的关系是根据速度尺度提出的,该速度尺度与风速无关。流量的时间变化随空间平均的增加而系统地减小,这表明将模型风(在网格区域上隐含空间平均)与观测值进行比较需要对观测值进行适当的空间平均。根据速度标度的无量纲比讨论了其他特性。还指出了网络测量的必要改进。

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