2020
DOI: 10.1029/2020jc016488
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Coupling of the Surface and Near‐Bottom Currents in the Gulf of Mexico

Abstract: Coupling between the surface and near-bottom currents in the Gulf of Mexico (GoM) has been reported in many case studies. However, geographical variations of this coupling need more examination. In this study, surface geostrophic currents derived from satellite-observed sea surface height and subsurface currents from a collection of deep ocean moorings are used to examine the surface and bottom coupling in different parts of the GoM. The short-period (30-90 days) fluctuations generated by the Loop Current (LC)… Show more

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Cited by 11 publications
(10 citation statements)
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“…We further conduct a lead‐lag correlation analysis of the intraseasonal KE (i.e., K 1 ) between the upper and deep layers to highlight the dynamic differences between different regions. In the region to the east of the Dongsha Islands, the deep‐layer K 1 shows more significant correlations (higher than 0.4, at the 95% confidence level) with the upper‐layer processes that lead by several days, whereas this correlation is not clear in the west (Figures 7c and 7d), which is consistent with the pressure work pattern in Figure 5a and a recent observational study on the coupling of the surface and near‐bottom currents in the Gulf of Mexico (Zhu & Liang, 2020).…”
Section: Resultssupporting
confidence: 89%
“…We further conduct a lead‐lag correlation analysis of the intraseasonal KE (i.e., K 1 ) between the upper and deep layers to highlight the dynamic differences between different regions. In the region to the east of the Dongsha Islands, the deep‐layer K 1 shows more significant correlations (higher than 0.4, at the 95% confidence level) with the upper‐layer processes that lead by several days, whereas this correlation is not clear in the west (Figures 7c and 7d), which is consistent with the pressure work pattern in Figure 5a and a recent observational study on the coupling of the surface and near‐bottom currents in the Gulf of Mexico (Zhu & Liang, 2020).…”
Section: Resultssupporting
confidence: 89%
“…The algorithm can also identify eddy splitting and merging, thus helping to explore eddy-eddy interactions and to accurately identify the formation areas of long-lived eddies. These are the main advantages of the AMEDA algorithm, and this algorithm has been used widely in many studies on ocean eddies (e.g., Ioannou et al, 2017;de Marez et al, 2019de Marez et al, , 2020Morvan et al, 2020;Zhu and Liang, 2020;Pegliasco et al, 2021;Stegner et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…TRW propagation can result in intensified bottom EKE (Hamilton, 2009;Zhu & Liang, 2020). A ray-tracing model (see Appendix A) was used to identify TRW energy propagation.…”
Section: -25-day Trws At Moorings D1 D2 and L1mentioning
confidence: 99%
“…In addition to mesoscale perturbations in upper ocean, the instability (e.g., barotropic or baroclinic instabilities) of the background flow is believed to stimulate a great release of energy that initialize the TRWs (e.g., Ma et al, 2019). For example, the coupling between upper-layer fluctuations and bottom TRWs through baroclinic instability has been revealed by simulations and observations in the Gulf of Mexico (Oey & Lee, 2002;Zhu & Liang, 2020). Although the relationship between bottom TRWs and upper-ocean fluctuations was identified under the limitations of single observations in the deep ocean, more full-depth observations are needed to further reveal the local coupling processes between upper-layer currents and deep currents and validate the spatial distribution of bottom TRWs on the continental slope of NSCS.…”
mentioning
confidence: 99%