2020
DOI: 10.1016/j.jmarsys.2019.103267
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Connectivity of deep waters in the Gulf of Mexico

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Cited by 12 publications
(14 citation statements)
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“…Gough et al 27 showed the efficacy of some of the cLCS as transport barriers by using synthetic drifters advected by the instantaneous model velocities and by using 3207 satellite-tracked drifter trajectories spanning over two decades . Maslo et al 28 showed that cLCS were efficient in identifying predominant transport patterns in the deep ( ≈ 1500 m) Gulf of Mexico, as determined by RAFOS floats and synthetic drifter trajectories.…”
mentioning
confidence: 99%
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“…Gough et al 27 showed the efficacy of some of the cLCS as transport barriers by using synthetic drifters advected by the instantaneous model velocities and by using 3207 satellite-tracked drifter trajectories spanning over two decades . Maslo et al 28 showed that cLCS were efficient in identifying predominant transport patterns in the deep ( ≈ 1500 m) Gulf of Mexico, as determined by RAFOS floats and synthetic drifter trajectories.…”
mentioning
confidence: 99%
“…To compute cLCS, Gough et al 27 and Maslo et al 28 used a free-run simulation performed with NEMO (Nucleus for European Modelling of the Ocean) and ROMS (Regional Ocean Modeling System), respectively, while Duran et al 26 used an operational HyCOM (Hybrid Coordinate Ocean Model) simulation. Thus, in combination, these three papers show that cLCS are robust in bypassing the variability inherent to geophysical flows, while accurately identifying predominant transport patterns.…”
mentioning
confidence: 99%
“…When cLCS deform as chevrons, they do not represent transport barriers, but instead, they identify a jet-like structure, as is the case in this study where cLCS identifies a coastal jet-like current. However, depending on the local circulation, cLCS may also indicate persistent and efficient transport barriers (Duran et al, 2018;Gough et al, 2019) or recurrent attractive pathways (Duran et al, 2018;Aljaz et al, 2020). The different interpretations for cLCS follow the fact that cLCS can be thought of as a superposition of 7-day LCS from the climatological velocity, with the integration initiating at different times (see, e.g., Appendix C of Duran et al, 2018).…”
Section: Climatological Lagrangian Coherent Structuresmentioning
confidence: 99%
“…For example, a common choice in the LCS literature appears to be a variable-time-step integrator of order 4 and 5 (see, e.g. Ali and Shah, 2007;Shadden et al, 2010;Beron-Vera et al, 2010;Maslo et al, 2020). Theoretically, seventh-order spline interpolation, yielding five continuous derivatives, is required for the error estimates in the step size control routine to hold.…”
Section: Discontinuous Derivativesmentioning
confidence: 99%
“…Some alternatives seek to cut computational time by using fewer evaluations, like the fourth-order Milne predictor, Hamming corrector integration scheme (see, e.g. Narváez et al, 2012), or the fourth-order Adams-Bashforth method (see, e.g. Yang et al, 2008).…”
Section: Introductionmentioning
confidence: 99%