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Turbulent structure and scaling of the inertial subrange in a stratocumulus-topped boundary layer observed by a Doppler lidar

机译:多普勒激光雷达观测平流层顶边界层中惯性子范围的湍流结构和尺度

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The turbulent structure of a stratocumulus-topped marine boundary layer over a 2-day period is observed with a Doppler lidar at Mace Head in Ireland. Using profiles of vertical velocity statistics, the bulk of the mixing is identified as cloud driven. This is supported by the pertinent feature of negative vertical velocity skewness in the sub-cloud layer which extends, on occasion, almost to the surface. Both coupled and decoupled turbulence characteristics are observed. The length and timescales related to the cloud-driven mixing are investigated and shown to provide additional information about the structure and the source of the mixing inside the boundary layer. They are also shown to place constraints on the length of the sampling periods used to derive products, such as the turbulent dissipation rate, from lidar measurements. For this, the maximum wavelengths that belong to the inertial subrange are studied through spectral analysis of the vertical velocity. The maximum wavelength of the inertial subrange in the cloud-driven layer scales relatively well with the corresponding layer depth during pronounced decoupled structure identified from the vertical velocity skewness. However, on many occasions, combining the analysis of the inertial subrange and vertical velocity statistics suggests higher decoupling height than expected from the skewness profiles. Our results show that investigation of the length scales related to the inertial subrange significantly complements the analysis of the vertical velocity statistics and enables a more confident interpretation of complex boundary layer structures using measurements from a Doppler lidar.
机译:在爱尔兰梅斯角的多普勒激光雷达上观察到了两天的平顶丘陵海洋边界层的湍流结构。使用垂直速度统计资料,可以确定大部分混合是云驱动的。亚云层中负垂直速度偏斜的相关特征对此提供了支持,该特征有时几乎延伸到表面。观察到耦合和解耦湍流特性。研究和显示了与云驱动混合有关的长度和时间尺度,以提供有关边界层内部混合的结构和来源的其他信息。还显示出它们对用于从激光雷达测量中得出乘积(例如湍流耗散率)的采样周期的长度施加了限制。为此,通过对垂直速度的光谱分析来研究属于惯性子范围的最大波长。在从垂直速度偏斜确定的明显解耦结构期间,云驱动层中的惯性子范围的最大波长与相应的层深度相对较好地缩放。但是,在许多情况下,结合惯性子范围分析和垂直速度统计数据分析,可以得出解耦高度要比偏斜曲线的预期值高。我们的结果表明,对与惯性子范围相关的长度尺度的研究显着补充了垂直速度统计数据的分析,并能够使用多普勒激光雷达的测量结果更加自信地解释复杂的边界层结构。

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