Direct Statistical Simulation of Jets and Vortices in 2D Flows

TL;DR

This paper uses Direct Statistical Simulations to study the transition from jets to vortices in 2D flows, showing that a second-order zonal cumulant approach captures jet formation and the transition but not the fully nonlinear vortex correlations.

Contribution

It demonstrates that zonal CE2 can effectively model jet formation and transitions in 2D turbulence, advancing statistical turbulence theories.

Findings

Zonal CE2 captures jet structures across Reynolds numbers.

Transition from jets to vortices depends on domain aspect ratio.

Fully nonlinear vortex correlations are not reproduced by zonal CE2.

Abstract

In this paper we perform Direct Statistical Simulations of a model of two-dimensional flow that exhibits a transition from jets to vortices. The model employs two-scale Kolmogorov forcing, with energy injected directly into the zonal mean of the flow. We compare these results with those from Direct Numerical Simulations. For square domains the solution takes the form of jets, but as the aspect ratio is increased a transition to isolated coherent vortices is found. We find that a truncation at second order in the equal-time but nonlocal cumulants that employs zonal averaging (zonal CE2) is capable of capturing the form of the jets for a range of Reynolds numbers as well as the transition to the vortex state, but, unsurprisingly, is unable to reproduce the correlations found for the fully nonlinear (non-zonally symmetric) vortex state. This result continues the program of promising advances in statistical theories of turbulence championed by Kraichnan.