Quantitatively mapping the Eady model onto a two-layer quasi-geostrophic model

TL;DR

This study establishes a quantitative mapping between the Eady model and a two-layer quasi-geostrophic model, enabling predictions of eddy diffusivity in the Eady model from the simpler 2LQG system, especially in turbulent regimes.

Contribution

It introduces a parameter-free mapping between the Eady and 2LQG models, bridging their differences and allowing for easier analysis of baroclinic turbulence.

Findings

Mapping enables prediction of Eady eddy diffusivity from 2LQG data.

The mapping is effective in turbulent regimes with weak bottom drag.

Numerical simulations validate the theoretical predictions.

Abstract

The two-layer quasigeostrophic model (2LQG) and the Eady model are two idealized systems illustrating the baroclinic instability of atmospheric jets and ocean currents. The two setups share many ingredients -- background vertically sheared zonal flow of density-stratified fluid in a rapidly rotating frame -- while differing in complexity and dimensionality. The Eady model has a continuous vertical direction, with baroclinic turbulence induced by boundary potential vorticity (PV) gradients at top and bottom. By contrast, the 2LQG sytem typically models baroclinic instability induced by interior PV gradients. This distinction challenges our ability to clearly identify a couple of 'modes' through which the Eady dynamics could be inferred from a simpler 2LQG system. In the present study, we show that this difficulty can be circumvented in the turbulent regime arising for weak bottom drag. Namely, guided by the common organization of both systems into a gas of coherent vortices, we identify a quantitative mapping between the Eady and the 2LQG models. The mapping allows for parameter-free predictions of the eddy diffusivity of the Eady model based on the knowledge of the 2LQG diffusivity. We illustrate these results using numerical simulations of the Eady and 2LQG models with linear or quadratic bottom drag.