Statistical Dynamics and Subgrid Modelling of Turbulence: From Isotropic to Inhomogeneous
Jorgen S. Frederiksen, Vassili Kitsios, Terence J. O'Kane

TL;DR
This paper reviews advances in statistical turbulence modeling, focusing on inhomogeneous closures and subgrid models for geophysical flows, highlighting developments that improve realism and computational efficiency.
Contribution
It introduces new inhomogeneous closure models like EDMAC and EDMIC, extending turbulence theory to complex real-world interactions and improving simulation accuracy.
Findings
Development of realizable inhomogeneous closures like QDIA and MIC.
Formulation and testing of efficient EDMAC and EDMIC models.
Application of subgrid models to geophysical flows with Rossby waves and topography.
Abstract
Turbulence is the most important, ubiquitous, and difficult problem of classical physics. Feynman viewed it as essentially unsolved, without a rigorous mathematical basis to describe the statistical dynamics of this most complex of fluid motion. However, the paradigm shift came in 1959, with the formulation of the Eulerian direct interaction approximation (DIA) closure by Kraichnan. It was again based on renormalized perturbation theory, like quantum electrodynamics, and is a bare vertex theory that is manifestly realizable. Here, we review some of the subsequent exciting achievements in closure theory. We also document in some detail the progress that has been made in extending statistical dynamical turbulence theory to the real world of interactions with mean flows, waves and inhomogeneities such as topography. This includes numerically efficient inhomogeneous closures, like the…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Complex Systems and Time Series Analysis
