Gulf Stream Transport and Mixing Processes via Coherent Structure Dynamics
Liu, Yi; Wilson, Chris ORCID: https://orcid.org/0000-0003-0891-2912; Green, Melissa A.; Hughes, Chris W. ORCID: https://orcid.org/0000-0002-9355-0233. 2018 Gulf Stream Transport and Mixing Processes via Coherent Structure Dynamics. Journal of Geophysical Research: Oceans, 123 (4). 3014-3037. https://doi.org/10.1002/2017JC013390
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Abstract/Summary
The Gulf Stream has been characterized as either a barrier or blender to fluid transfer, a duality relevant to gyre‐scale climate adjustment. However, previous characterization depended on relatively sparse, Lagrangian in situ observations. The finite‐time Lyapunov exponent (FTLE) is calculated from satellite altimetry to identify Lagrangian coherent structures (LCS) in the Gulf Stream region. These LCS provide dense sampling of flow and capture distinct regions associated with mixing. Independent observations of ocean color contain similar flow‐dependent structures, providing verification of the method and highlighting transport and mixing processes that influence sea surface temperature and chlorophyll, among other water properties. Diagnosed LCS support the existing Bower kinematic model of the Gulf Stream, but also highlight novel behavior of comparable importance. These include vortex pinch‐off and formation of spiral eddies, clearly identified by LCS and which may be explained by considering changes to flow topology and the dynamics of shear‐flow instability at both small and large Rossby number. Such processes, seen though LCS, may further enable validation of climate models. The spatial distribution of these intermittent processes is characterized in terms of the criticality of jet dynamics with respect to Rossby wave propagation, and whether the jet is in an unstable or wave‐maker regime. The generation and connectivity of hyperbolic trajectories in the flow appears to play an important role in governing large‐scale transport and mixing across the Gulf Stream.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1002/2017JC013390 |
ISSN: | 21699275 |
Date made live: | 08 May 2018 09:50 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/519981 |
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