2015
DOI: 10.1016/j.dsr2.2014.01.019
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On the variability of tidal fronts on a macrotidal continental shelf, Northern Patagonia, Argentina

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Cited by 36 publications
(25 citation statements)
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“…In the semidiurnal scale predictions of numerical models are a very useful tool to study the variability of the tidal fronts (Simpson, 1998). The model results agree with satellite derived sea surface temperature observations indicating a displacement of some tens of km of the Vald es Front between spring and summer (Pisoni et al, 2014). The variability recorded in the position of the surface thermal front therefore highlights that the surface heat cycle is the dominant forcing on the spatial variability of a typical tidal front in the Patagonian region.…”
Section: Idealized Tidal Frontal Systemsupporting
confidence: 78%
“…In the semidiurnal scale predictions of numerical models are a very useful tool to study the variability of the tidal fronts (Simpson, 1998). The model results agree with satellite derived sea surface temperature observations indicating a displacement of some tens of km of the Vald es Front between spring and summer (Pisoni et al, 2014). The variability recorded in the position of the surface thermal front therefore highlights that the surface heat cycle is the dominant forcing on the spatial variability of a typical tidal front in the Patagonian region.…”
Section: Idealized Tidal Frontal Systemsupporting
confidence: 78%
“…In addition, Hopkins and Polton [32] found that the movement of the Liverpool Bay thermohaline front ranged from 5 km to 35 km driven by spring-neap variability in tidal mixing, and the semidiurnal superimposed flood-ebb tidal currents made 5-10 km contributions to the movement. Pisoni, et al [33] showed that position oscillations of about 10 km and 15 km amplitude occurred in the San Matías and Valdés fronts, respectively, in response to the spring-neap transition. In this study, the horizontal displacement of turbidity fronts oscillated approximately 2.1-10.3 km, which are of the same order of magnitude as previous reports of tidal front displacements.…”
Section: Discussionmentioning
confidence: 99%
“…Hopkins and Polton [32] used SST imagery and a regional numerical model to investigate the movement and structure of the thermohaline front in response to spring-neap tidal variability in the Liverpool Bay. In addition, using SST imagery and a one-dimensional model over a macrotidal continental shelf of Northern Patagonia Argentina, Pisoni et al [33] found that the intensity variability of the San Matías and Valdés fronts was modulated by the spring-neap tidal transition. The conventional polar-orbiting satellite imagery, however, makes it difficult to identify high-frequency (e.g., hourly) frontal evolutions, especially in coastal waters.…”
Section: Introductionmentioning
confidence: 99%
“…Most studies of marine fronts on the Patagonian shelf have been conducted using satellite images of sea surface temperature (SST) or chlorophyll-a (visible) that only show surface manifestations of fronts (Rivas et al, 2006;Romero et al, 2006;Rivas and Pisoni, 2010;Dogliotti et al, 2014;Pisoni et al, 2015). These studies were also constrained by the availability of images.…”
Section: Introductionmentioning
confidence: 99%