English

Local and Nonlocal Dispersive Turbulence

Fluid Dynamics 2009-02-20 v2 Atmospheric and Oceanic Physics

Abstract

We consider the evolution of a family of 2D dispersive turbulence models. The members of this family involve the nonlinear advection of a dynamically active scalar field, the locality of the streamfunction-scalar relation is denoted by α\alpha, with smaller α\alpha implying increased locality. The dispersive nature arises via a linear term whose strength is characterized by a parameter ϵ\epsilon. Setting 0<ϵ10 < \epsilon \le 1, we investigate the interplay of advection and dispersion for differing degrees of locality. Specifically, we study the forward (inverse) transfer of enstrophy (energy) under large-scale (small-scale) random forcing. Straightforward arguments suggest that for small α\alpha the scalar field should consist of progressively larger eddies, while for large α\alpha the scalar field is expected to have a filamentary structure resulting from a stretch and fold mechanism. Confirming this, we proceed to forced/dissipative dispersive numerical experiments under weakly non-local to local conditions. For ϵ1\epsilon \sim 1, there is quantitative agreement between non-dispersive estimates and observed slopes in the inverse energy transfer regime. On the other hand, forward enstrophy transfer regime always yields slopes that are significantly steeper than the corresponding non-dispersive estimate. Additional simulations show the scaling in the inverse regime to be sensitive to the strength of the dispersive term : specifically, as ϵ\epsilon decreases, the inertial-range shortens and we also observe that the slope of the power-law decreases. On the other hand, for the same range of ϵ\epsilon values, the forward regime scaling is fairly universal.

Keywords

Cite

@article{arxiv.0709.2897,
  title  = {Local and Nonlocal Dispersive Turbulence},
  author = {Jai Sukhatme and Leslie M. Smith},
  journal= {arXiv preprint arXiv:0709.2897},
  year   = {2009}
}

Comments

19 pages, 8 figures. Significantly revised with additional results

R2 v1 2026-06-21T09:18:50.927Z