Statistics of near-inertial waves over a background flow via quantum and statistical mechanics
Alexandre Tlili, Basile Gallet

TL;DR
This paper develops a quantum and statistical mechanics framework to predict the organization and concentration of near-inertial waves in turbulent flows, validated by numerical simulations and explaining observed phenomena.
Contribution
It introduces an exact analogy between the YBJ equation and quantum dynamics, deriving wave statistics in two asymptotic limits and validating predictions with simulations.
Findings
Good agreement between theory and numerical simulations.
Quantitative description of NIW energy concentration in anticyclones.
Maximal anticyclonic NIW concentration at intermediate background flow strength.
Abstract
We revisit the interaction of an initially uniform near-inertial wave (NIW) field with a steady background flow, with the goal of predicting the subsequent organization of the wave field. To wit, we introduce an exact analogy between the Young Ben Jelloul (YBJ) equation and the quantum dynamics of a charged particle in a steady electromagnetic field, whose potentials are expressed in terms of the background flow. We derive the time-averaged spatial distributions of wave kinetic energy, potential energy and Stokes drift in two asymptotic limits. In the `strongly quantum' limit where the background flow is weak compared to wave dispersion, we compute the wave statistics by extending a strong-dispersion expansion initially introduced by YBJ. In the `quasi-classical' limit where the background flow is strong compared to wave dispersion, we compute the wave statistics by leveraging the…
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Taxonomy
TopicsParticle Dynamics in Fluid Flows · Dust and Plasma Wave Phenomena · Ocean Waves and Remote Sensing
