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Computing Lagrangian statistics from tracer observations and a model output

机译:根据示踪剂观测值和模型输出计算拉格朗日统计量

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摘要

A stable method of low computational cost is suggested for estimating Lagrangian trajectories by combining observations of a continuously distributed conservative tracer and a circulation model output (background velocity field). A theoretical error analysis for a homogeneous flow is provided while for a more sophisticated synthetic flow the error is evaluated numerically. The reduction in error compared to the background varies in the range 1-34% depending on the flow structure. Finally, the method is applied for estimating the absolute and relative dispersion in a gyre perturbed by periodic or stochastic fluctuations.
机译:通过结合连续分布的保守示踪剂和循环模型输出(背景速度场)的观测结果,提出了一种稳定的,低计算量的方法来估计拉格朗日轨迹。提供了均质流的理论误差分析,而对于更复杂的合成流,则通过数字评估误差。与背景相比,误差的减少范围在1-34%之间,具体取决于流动结构。最后,该方法用于估计受周期性或随机波动扰动的陀螺的绝对和相对色散。

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