Parameterization of particle transport at submesoscales in the Gulf Stream region using Lagrangian subgridscale models

Haza, Angelique C.; Özgökmen, Tamay M.; Griffa, Annalisa; Garraffo, Zulema; Piterbarg, Leonid I.

doi:10.1016/j.ocemod.2011.11.005

Cited by 59 publications

(47 citation statements)

References 51 publications

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“…As has been previously observed, this discrepancy is due to both the coarse spatial resolution and the time averaging of any mesoscale model -see e.g. Haza et al (2012) and references therein.…”

Section: A S Lanotte Et Al: Effects Of Vertical Shear In Modellingmentioning

confidence: 76%

“…Indeed, when dealing with basin-scale models, not only the mixing layer dynamics is often missing, but also the velocity field features from sub-to mesoscales are poorly resolved both temporally and spatially. In this regard, various techniques (Griffa, 1996;Berloff and McWilliams, 2002;Haza et al, 2007Haza et al, , 2012 have been developed to model the submesoscale or unresolved velocity components which, nonetheless, play an important role for tracer dispersion.…”

Section: Introductionmentioning

confidence: 99%

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Effects of vertical shear in modelling horizontal oceanic dispersion

et al. 2016

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Abstract. The effect of vertical shear on the horizontal dispersion properties of passive tracer particles on the continental shelf of the South Mediterranean is investigated by means of observation and model data. In situ current measurements reveal that vertical gradients of horizontal velocities in the upper mixing layer decorrelate quite fast ( ∼ 1 day), whereas an eddy-permitting ocean model, such as the Mediterranean Forecasting System, tends to overestimate such decorrelation time because of finite resolution effects. Horizontal dispersion, simulated by the Mediterranean sea Forecasting System, is mostly affected by: (1) unresolved scale motions, and mesoscale motions that are largely smoothed out at scales close to the grid spacing; (2) poorly resolved time variability in the profiles of the horizontal velocities in the upper layer. For the case study we have analysed, we show that a suitable use of deterministic kinematic parametrizations is helpful to implement realistic statistical features of tracer dispersion in two and three dimensions. The approach here suggested provides a functional tool to control the horizontal spreading of small organisms or substance concentrations, and is thus relevant for marine biology, pollutant dispersion as well as oil spill applications.

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Section: A S Lanotte Et Al: Effects Of Vertical Shear In Modellingmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Effects of vertical shear in modelling horizontal oceanic dispersion

et al. 2016

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“…While these processes are undoubtedly important, the uncertainty associated with each parameter remains quite large (Critchell and Lambrechts, 2016). Furthermore, we did not use subgrid processes parametrization under 2 km because the parameters of subgrid processes are basically unknown at those scales and we would have added further uncertainty in the results (Griffa, 1996;Haza et al, 2012;Carlson et al, 2016). Observed AMD positions, times and abundances are used to specify initial positions of virtual particles, which are tracked for 60 days forward and backward in time (120 days total).…”

Section: Lagrangian Particle Tracking Modelmentioning

confidence: 99%

Combining Litter Observations with a Regional Ocean Model to Identify Sources and Sinks of Floating Debris in a Semi-enclosed Basin: The Adriatic Sea

et al. 2017

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“…Transport of particles in the ocean is generally investigated making use of Lagrangian particle models that describe the flow as formed by two components: a large scale adjective mean field and a smaller scale irregular field. Numerical models or velocity data from drifters draw the former component with high confidence, while the latter is much more complicated to investigate and quantify, and thus typically parameterized in various ways (e.g., Zambianchi and Griffa, 1994;Haza et al, 2012). Previous works employed numerical models to simulate both ocean circulation and the spread of particles FIGURE 1 | Bathymetric map of the Mediterranean.…”

Section: Introductionmentioning

confidence: 99%