Direct Statistical Simulation of a Jet

TL;DR

This paper reviews the use of Direct Statistical Simulation (DSS) to model anisotropic, inhomogeneous geophysical and astrophysical flows, emphasizing second-order cumulant truncation and its implications for jet dynamics.

Contribution

It provides a systematic overview of DSS methods, assesses different cumulant truncations, and demonstrates their application to jet modeling on spherical surfaces.

Findings

Second-order cumulant expansion captures key jet features.

Higher-order interactions influence jet spacing and strength.

Numerical experiments reveal the strengths and limitations of DSS approximations.

Abstract

We review progress that has been made in utilizing one form of Direct Statistical Simulation (DSS) to describe geophysical and astrophysical flows that are anisotropic and inhomogeneous. We first explain the approach, which is based upon a systematic and conservative expansion of the equations of motion for low-order equal-time cumulants. We place the method into context with other statistical procedures. Truncation at second order in the hierarchy of cumulants is equivalent to retaining the interaction between zonal mean flows and eddies. Eddy-eddy interactions appear at higher orders, but care must be taken to keep the higher-order expansions realizable with non-negative probability distribution functions. The strengths and weaknesses of different levels of approximation are assessed with numerical experiments on the fiducial problem of a stochastically forced jet on a spherical surface. The results give an insight into the mechanisms that may control jet spacing and strength, and indicate interesting avenues for future research.