用大涡模拟模式模拟浮力控制边界层中温度脉动的统计
Statistics of temperature fluctuations in a buoyancy dominated boundary layer flow simulated by a Large-eddy simulation model
摘要：
利用大涡模拟（LES）研究了大气对流边界层中的温度脉动。尽管温度波动的动力学的非平凡性，我们的数据支持的想法，最相关的统计特性可以捕获的两个标度指数，表征整个混合层。这样的指数控制由距离${\bm r}$分开的点之间的等时间温度差$Δ_r θ$的概率密度函数的渐近（即核心和尾部）重新缩放特性。还提供了大的温度波动的统计特性和托管这种波动的集合的几何特性之间的联系。最后，我们的新发现的亚网格尺度参数化对流边界层的温度场的问题的可能应用进行了讨论。
英文摘要：
Temperature fluctuations in an atmospheric convective boundary layer are investigated by means of Large Eddy Simulations (LES). A statistical characterization for both weak temperature fluctuations and strong temperature fluctuations has been found. Despite the nontriviality of the dynamics of temperature fluctuations, our data support the idea that the most relevant statistical properties can be captured solely in terms of two scaling exponents, characterizing the entire mixed layer. Such exponents control asymptotic (i.e. core and tails) rescaling properties of the probability density functions of equal-time temperature differences, $Δ_r θ$, between points separated by a distance ${\bm r}$. A link between statistical properties of large temperature fluctuations and geometrical properties of the set hosting such fluctuations is also provided. Finally, a possible application of our new findings to the problem of subgrid-scale parameterizations for the temperature field in a convective boundary layer is discussed.
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