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2002 LAPCOD Meeting
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Oceanic turbulence and stochastic models from Lagrangian data: an overview.
Annalisa Griffa(a,b), Milena Veneziani(a)
(a)RSMAS/MPO, University of Miami, USA, (b)CNR, La Spezia, Italy
anna@rsmas.miami.edu(Abstract received 10/10/2002 for session A)
ABSTRACT
Lagrangian data are especially suitable to study the properties of mesoscale turbulent transport. A general framework to interpret and parameterize turbulent results is provided by particle stochastic models. Previous studies on Lagrangian data (e.g. Falco et al., 200; Bauer et al., 2002) show that off-equatorial flows away from strongly sheared mean currents can be approximated using a simple linear stochastic model, 1-dimensional and of 1-order. This implies that the turbulent flow is mostly diffusive and coherent structures do not play a major role.
The picture changes significantly when highly sheared regions are considered. Here, sub and super diffusive behaviors are present, and coherent vortices are expected to play an important role. A number of different linear stochastic models have been recently proposed in the literature (e.g. Berloff and Mc Williams, 2002; Reynolds, 2002) to reproduce these behaviors. They include higher order 1-dimensional models, and 2-dimensional models with spin. Their statistical properties and relative differences are discussed, in terms of trajectories, autocovariances and cross-covariances of velocity and acceleration.
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2002 LAPCOD Meeting, Key Largo, Florida, December 12-16, 2000