Lagrangian Statistics from Oceanic and Atmospheric Observations
Lagrangian Statistics from Oceanic and Atmospheric Observations
复制标题
海洋和大气观测的拉格朗日统计
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
J. LaCasce
中科院分区：
文献类型：
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作者：
J. LaCasce
我们回顾了利用来自大气和海洋的拉格朗日数据进行的统计分析。重点是所使用的措施类型以及结果如何反映潜在的动态。首先，我们讨论最常见的措施是如何产生的以及它们之间如何相互关联。这些措施可以分为针对单个颗粒的措施和针对颗粒群的措施。单粒子分析在海洋数据中更为典型。最广泛使用的此类分析涉及在地理上对速度进行分箱以估计欧拉流的特征，例如平均速度和扩散率。单粒子统计也被用来研究罗斯贝波传播、对底部地形和涡流热通量的敏感性。尽管最近也出现了海洋文献中的例子，但在大气中对粒子对的分散进行了更多的研究。两个系统中亚变形尺度的粒子对色散相似，粒子分离随时间呈指数增长。较大尺度的行为有所不同，可能反映了大尺度剪切流的细节。涉及三个或更多粒子的分析相当罕见，但已用于测量发散和涡度以及湍流色散。
We review statistical analyses made with Lagrangian data from the atmosphere and ocean. The focus is on the types of measures used and on how the results reflect the underlying dynamics. First we discuss how the most common measures come about and how they are related to one another. The measures can be subdivided into those concerning single particles and those pertaining to groups of particles. Single particle analysis is more typical with oceanic data. The most widely-used such analysis involves binning velocities geographically to estimate characteristics of the Eulerian flow, such as the mean velocities and the diffusivities. Single particle statistics have also been used to study Rossby wave propagation, the sensitivity to bottom topography and eddy heat fluxes. The dispersion of particle pairs has been studied more in the atmosphere, although examples in the oceanic literature have also appeared recently. Pair dispersion at sub-deformation scales is similar in the two systems, with particle separations growing exponentially in time. The larger scale behavior varies, possibly reflecting details of the large scale shear flow. Analyses involving three or more particles are fairly rare but have been used to measure divergence and vorticity, as well as turbulent dispersion.