气候变化领域集成服务门户(CCPortal): Ocean Surface Connectivity in the Arctic: Capabilities and Caveats of Community Detection in Lagrangian Flow Networks

CCPortal

DOI	10.1029/2020JC016416
	Ocean Surface Connectivity in the Arctic: Capabilities and Caveats of Community Detection in Lagrangian Flow Networks
	Reijnders D.; van Leeuwen E.J.; van Sebille E.
发表日期	2021
ISSN	21699275
卷号	126 期号:1
英文摘要	To identify barriers to transport in a fluid domain, community detection algorithms from network science have been used to divide the domain into clusters that are sparsely connected with each other. In a previous application to the closed domain of the Mediterranean Sea, communities detected by the Infomap algorithm have barriers that often coincide with well-known oceanographic features. We apply this clustering method to the surface of the Arctic and subarctic oceans and thereby show that it can also be applied to open domains. First, we construct a Lagrangian flow network by simulating the exchange of Lagrangian particles between different bins in an icosahedral-hexagonal grid. Then, Infomap is applied to identify groups of well-connected bins. The resolved transport barriers include naturally occurring structures, such as the major currents. As expected, clusters in the Arctic are affected by seasonal and annual variations in sea-ice concentration. An important caveat of community detection algorithms is that many different divisions into clusters may qualify as good solutions. Moreover, while certain cluster boundaries lie consistently at the same location between different good solutions, other boundary locations vary significantly, making it difficult to assess the physical meaning of a single solution. We therefore consider an ensemble of solutions to find persistent boundaries, trends, and correlations with surface velocities and sea-ice cover. © 2020. The Authors.
英文关键词	Arctic Ocean; Community Detection; Connectivity; Hydrodynamic Provinces; Lagrangian particle simulations; Ocean Transport
语种	英语
来源期刊	Journal of Geophysical Research: Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186527
作者单位	Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands; Department of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands
推荐引用方式 GB/T 7714	Reijnders D.,van Leeuwen E.J.,van Sebille E.. Ocean Surface Connectivity in the Arctic: Capabilities and Caveats of Community Detection in Lagrangian Flow Networks[J],2021,126(1).
APA	Reijnders D.,van Leeuwen E.J.,&van Sebille E..(2021).Ocean Surface Connectivity in the Arctic: Capabilities and Caveats of Community Detection in Lagrangian Flow Networks.Journal of Geophysical Research: Oceans,126(1).
MLA	Reijnders D.,et al."Ocean Surface Connectivity in the Arctic: Capabilities and Caveats of Community Detection in Lagrangian Flow Networks".Journal of Geophysical Research: Oceans 126.1(2021).