Surface Connectivity and Interocean Exchanges From Drifter-Based Transition Matrices.
Surface Connectivity and Interocean Exchanges From Drifter-Based Transition Matrices.
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DOI：
10.1002/2017jc013363
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发表时间：
2018-01
期刊：
影响因子：
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通讯作者：
van Sebille E
中科院分区：
文献类型：
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作者：
McAdam R;van Sebille E
海洋中的全球表面输运可以通过使用观测到的漂流物的轨迹来计算概率分布函数来表示。马尔可夫链建模方法的海洋学应用包括在全球范围内以及在每年至百年的时间尺度上跟踪漂浮碎片和水团。在这里，我们分析了固有的错误与映射轨迹到一个网格和海洋运输建模和检测积累结构的后果。马尔可夫链参数的敏感性分析是在一个理想化的Stommel环流和西部边界电流，以及观察到的海洋漂流物，补充以前的研究广泛的漂浮碎片积累。专注于两个关键领域的interocean交流的厄古拉斯系统和北大西洋intergyre运输障碍，我们评估的马尔可夫链方法来检测表面连接和动态运输障碍的能力。最后，我们扩展的方法的功能，分离的地转和nongeostrophic的贡献，在这些关键地区的洋际交换。着重指出了概率海洋表面输运模式中的误差。在模式中重新建立了重要的大洋间交换通量。探讨了地转流在大洋间连通性中的作用。
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. The error within probabilistic ocean surface transport models is highlighted Fluxes at key interocean exchanges are recreated within the model The role of geostrophic flow in interocean connectivity is explored