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Surface Connectivity and Interocean Exchanges From Drifter‐Based Transition Matrices

机译:基于漂移的过渡矩阵的表面连通性和海洋交换

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摘要

Global surface transport in the ocean can be represented by using the observed trajectories of drifters to calculate probability distribution functions. The oceanographic applications of the Markov Chain approach to modeling include tracking of floating debris and water masses, globally and on yearly‐to‐centennial time scales. Here we analyze the error inherent with mapping trajectories onto a grid and the consequences for ocean transport modeling and detection of accumulation structures. A sensitivity analysis of Markov Chain parameters is performed in an idealized Stommel gyre and western boundary current as well as with observed ocean drifters, complementing previous studies on widespread floating debris accumulation. Focusing on two key areas of interocean exchange—the Agulhas system and the North Atlantic intergyre transport barrier—we assess the capacity of the Markov Chain methodology to detect surface connectivity and dynamic transport barriers. Finally, we extend the methodology's functionality to separate the geostrophic and nongeostrophic contributions to interocean exchange in these key regions.
机译:可以通过使用观测到的漂流者的轨迹来表示海洋中的全球表面运输来计算概率分布函数。马尔可夫链方法在海洋学中的建模应用包括在全球范围内以及逐年至百年时间尺度上跟踪漂浮的碎片和水团。在这里,我们分析了将轨迹映射到网格上所固有的误差,以及对海洋运输建模和堆积结构检测的后果。马尔可夫链参数的敏感性分析是在理想化的Stommel回旋和西部边界洋流以及观察到的海洋漂流者中进行的,是对先前对广泛漂浮物堆积的研究的补充。我们着眼于海洋交换的两个关键领域-Agulhas系统和北大西洋回旋运输障碍-我们评估了马尔可夫链方法论检测地面连通性和动态运输障碍的能力。最后,我们扩展了该方法的功能,以分离地转和非转地对这些关键地区海洋间交换的贡献。

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