Stochastic Parametrization of the Richardson Triple

TL;DR

This paper develops a stochastic fluid flow model for the Richardson triple, capturing interactions across multiple scales using homogenisation and stochastic Hamiltonian mechanics, with applications to turbulence and rigid body dynamics.

Contribution

It introduces a stochastic parametrization of the Richardson triple using homogenisation, stochastic Hamiltonian principles, and Lie-Poisson structures, providing new insights into multi-scale fluid interactions.

Findings

Derived a stochastic Kelvin circulation theorem for Richardson triples.

Formulated the stochastic dynamics using Hamilton's principle and Lie-Poisson brackets.

Applied the framework to fluid flows and rigid body motion, including the stochastic heavy top.

Abstract

A Richardson triple is an ideal fluid flow map $g_{t/\ep,t,\ep t} = h_{t/\ep}k_t l_{\ep t}$ composed of three smooth maps with separated time scales: slow, intermediate and fast; corresponding to the big, little, and lesser whorls in Richardson's well-known metaphor for turbulence. Under homogenisation, as $\lim \ep\to0$, the composition $h_{t/\ep}k_t $ of the fast flow and the intermediate flow is known to be describable as a single stochastic flow $\dd g$. The interaction of the homogenised stochastic flow $\dd g$ with the slow flow of the big whorl is obtained by going into its non-inertial moving reference frame, via the composition of maps $(\dd g)l_{\ep t}$. This procedure parameterises the interactions of the three flow components of the Richardson triple as a single stochastic fluid flow in a moving reference frame. The Kelvin circulation theorem for the stochastic dynamics of the Richardson triple reveals the interactions among its three components. Namely, (i) the velocity in the circulation integrand acquires is kinematically swept by the large scales; and (ii) the velocity of the material circulation loop acquires additional stochastic Lie transport by the small scales. The stochastic dynamics of the composite homogenised flow is derived from a stochastic Hamilton's principle, and then recast into Lie-Poisson bracket form with a stochastic Hamiltonian. Several examples are given, including fluid flow with stochastically advected quantities, and rigid body motion under gravity, i.e., the stochastic heavy top in a rotating frame.