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Rapidly rotating wall-mode convection

Published online by Cambridge University Press:  26 August 2025

Geoffrey M. Vasil*
Affiliation:
School of Mathematics & the Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh EH9 3FD, UK
Keaton J. Burns
Affiliation:
Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Center for Computational Astrophysics, Flatiron Institute, New York, NY 10010, USA
Daniel Lecoanet
Affiliation:
Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208, USA CIERA, Northwestern University, Evanston, IL 60201, USA
Jeffrey S. Oishi
Affiliation:
Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA
Benjamin Brown
Affiliation:
Department of Astrophysical & Planetary Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
Keith Julien
Affiliation:
Department of Applied Mathematics, University of Colorado Boulder, Boulder, CO 80309, USA
*
Corresponding author: Geoffrey M. Vasil, gvasil@ed.ac.uk

Abstract

In the rapidly rotating limit, we derive a balanced set of reduced equations governing the strongly nonlinear development of the convective wall-mode instability in the interior of a general container. The model illustrates that wall-mode convection is a multiscale phenomenon where the dynamics of the bulk interior diagnostically determine the small-scale dynamics within Stewartson boundary layers at the sidewalls. The sidewall boundary layers feedback on the interior via a nonlinear lateral heat-flux boundary condition, providing a closed system. Outside the asymptotically thin boundary layer, the convective modes connect to a dynamical interior that maintains scales set by the domain geometry. In many ways, the final system of equations resembles boundary-forced planetary geostrophic baroclinic dynamics coupled with barotropic quasi-geostrophic vorticity. The reduced system contains the results from previous linear instability theory but captured in an elementary fashion, providing a new avenue for investigating wall-mode convection in the strongly nonlinear regime. We also derive the dominant Ekman-flux correction to the onset Rayleigh number for large Taylor number, ${\textit {Ra}} \approx 31.8 \,{\textit{Ta}}^{1/2} - 4.43 \,{\textit{Ta}}^{5/12} + {\mathcal{O}}({\textit{Ta}}^{1/3})$ for no-slip boundaries. However, we find that the linear onset in a finite cylinder differs noticeably compared with a Cartesian channel. We demonstrate some of the reduced model’s nonlinear dynamics with numerical simulations in a cylindrical container.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Approximate stability regions and experimental parameters. The respective sources are all laboratory experiments: R69 (Rossby 1969) ZES93 (Zhong et al.1993); LE11 (Liu & Ecke 2011); KSNHA09 (King et al.2009); KSOSHC11 (Kunnen et al.2011); ABGHV18 (Aurnou et al.2018). In each case, the current author gathered the information from the respective sources by hand. All values are approximate and intended to get an idea of the relative ranges of data. The cross-hatched region shows the wall-mode regime between the asymptotic stability scalings ${\textit{Ra}}_{\,{bulk}} \approx 8.7 \, {\textit{Ta}}^{2/3}$ and ${\textit{Ra}}_{\,{wall}} \approx 31.8 \, {\textit{Ta}}^{1/2}$. The 31.8 coefficient is roughly an upper bound; the actual value somewhat lower in a finite-aspect-ratio cylinder (see figure 5). Except for ${\textit{ABGHV18}}$, all experiments use moderate Prandtl numbers, approximately between 4 and 7. The steep dashed line shows the convective Rossby number threshold ${\textit{Ro}} \approx 1$ for Prandtl $\approx 7$. The ${\textit{ABGHV18}}$ experiment used gallium with Prandtl $\approx 0.025$ with markedly different onset behaviour, but still well below ${\textit{Ro}} = 1$.

Figure 1

Figure 2. Schematic diagram of the basic domain. Each region, I–III, comprises different length, time and amplitude scalings in terms of powers of $\varepsilon = {\textit{E}}^{\,1/3}$. The asymptotic analysis considers each region separately and connects each through a series of matching conditions, eventually being left entirely with ${\mathcal{O}}( 1 )$ dynamics in the bulk (Region I). We refer to region II as the Stewartson sidewall layer and region III as the Ekman layer (at both the top and bottom of the domain). We conduct the asymptotic analysis in Cartesian coordinates $(x,\,y,\,z)$ without loss of generality. After obtaining the final results, it is straightforward to use general coordinates and re-pose the system in cylindrical polar coordinates with $x \to r$, $y \to \phi$ and $z \to z$.

Figure 2

Figure 3. Thermal Stewartson boundary layer solutions for no-slip tangential velocities: the blue line shows $1-\mathcal{X}(x)$. The orange line shows $\mathcal{X}'(x)$. The orange line compares well with figure 2(b) from Buell & Catton (1983) for ${\textit{Ta}} \approx 1400^{2}$.

Figure 3

Table 1. Direct spectral element calculations of the stability threshold at various Ekman numbers. Values of $R$, $k$ and $\omega$ have estimated respective uncertainties of $4\times10^{-4}$, $3\times10^{-4}$ and $3\times10^{-3}$, with asymptotic analytical results reported to the same number of digits.

Figure 4

Figure 4. Plots of critical parameters versus Ekman number for $6 \le -\log _{10} {\textit{E}} \le 11$ from the spectral-element calculations of (5.43)–(5.49). (a) Scaled Rayleigh number, $R$, (b) tangential wave number, $k$, and (c) precession frequency, $\omega$. Table 2 gives the coefficients of the best-fit expansions in powers of $E^{1/6}$. The orange dashed lines show the asymptotic predictions in (5.40)–(5.42).

Figure 5

Table 2. Best-fit coefficients for critical parameters as a function of powers of $\varepsilon = {\textit{E}}^{\,1/3}$, computed using spectral-element calculations of (5.43)–(5.49) and plotted in figure 4.

Figure 6

Figure 5. Critical parameters for a finite cylinder with aspect ratio, $\Gamma$. In each case, the dashed lines show the value for the semi-infinite channel. The critical wavenumber is typically within one of $m \approx \lfloor \Gamma \,k_{{c}}/2 \rfloor$, where $k_{{c}}$ is the critical wavenumber from the semi-infinite case. Starting from $m=1$, for low aspect ratio, each cusp feature in $R_{{c}}$ indicates a unit increase in $m$. The overall minimum happens for $\Gamma \approx 0.366196$ and $m=1$ with $R \approx 26.3789$ and $\omega \approx 82.9854$.

Figure 7

Figure 6. Mid-plane linear temperature perturbations from two critical modes at aspect ratios $1$ and $3$, respectively. The $\Gamma =1$ case prefers $m=3$ angular wavenumber, while $\Gamma = 3$ prefers $m=9$.

Figure 8

Figure 7. Nusselt number and relative frequency slopes as a function of aspect ratio in a finite cylinder. For the Nusselt number, the horizontal dashed grey line indicates the analytical value of $12/7$ as $\Gamma \to 0$ and the dashed grey curve shows the asymptotic scaling $\sim\! 0.701822/\Gamma$ as $\Gamma \to \infty$ derived from a flat Cartesian wall bounding an infinite bulk interior. For the relative frequency slope, the dashed grey curves indicate the analytical value $173/252$ as $\Gamma \to 0$ and the Cartesian result $\sim \!1.533634$ as $\Gamma \to \infty$. The jagged behaviour in both plots results from jumps in the critical mode number, $m_{c}$, as a function of aspect ratio.

Figure 9

Figure 8. Temperature space–time propagation diagram as a function of azimuth, $\phi$, and time, $t$. The pattern shows the $R/R_{{c}} = 2$, no-slip case. The simulation starts with low-amplitude noise. The modes $m=2,3,4,5,6$ are all unstable, with $m=3, 4$ having the largest growth rates. The pattern starts with approximately three full wavelengths, undergoes a coarsening defect and settles into a consistent two-wave pattern.

Figure 10

Table 3. Summary of all simulation parameters. In every case, for $\Gamma = 4/5$, the critical scaled Rayleigh number, $R_{{c}} = 28.237851887421087$, and the critical frequency, $\omega _{{c}} = 69.02735982770973$. For the weakly nonlinear parameters, $K = 0.8028404111646181$, $\Upsilon = 1.0933189545586768$. By convention, $\omega \gt 0$ corresponds to retrograde propagation, consistent with the linear instability calculation. For top/bottom boundary conditions, NS is no-slip, and SF is stress-free. While $R,\Gamma ,\sigma$ are input control parameters, figure 12 shows the output parameters, $\omega$ and ${\textit{Nu}}$. Note that the Prandtl number, $\sigma$, drops out of the system in the no-slip case.

Figure 11

Figure 9. Temperature patterns at the sidewall: (a) the no-slip case and (b) the stress-free case. The rows show $R/R_{{c}} = 2,3,4$, respectively.

Figure 12

Figure 10. Pressure patterns at the top: (a) the no-slip case and (b) the stress-free case. The rows show $R/R_{{c}} = 2,3,4$, respectively.

Figure 13

Figure 11. Boundary-layer divergence and curl patterns at the sidewall: (a) the no-slip case and (b) the stress-free case. Both cases correspond to $R/R_{{c}} =4$.

Figure 14

Figure 12. Diagrams of heat transport. (a) Nusselt number, ${\textit{Nu}}$, versus the supercriticality, $R/R_{{c}}$; by definition ${\textit{Nu}}_{\,{c}} = 1$ at onset. The dashed line shows the approximate linear dependence ${\textit{Nu}}-1 \approx 0.807\, (R/R_{c}-1)$ near onset; weakly nonlinear predicts a slope of $\approx \,$0.803 (an $\approx \,$0.5 % difference). (b) Depth-dependent diffusive ($F_{d}$, blue) and convective fluxes ($F_{c}$, red), along with their total ($F_{t} = F_{c} + F_{d}$, gold) for simulations with $R=4R_{{c}}$. The solid lines correspond to the no-slip case, and the dashed lines correspond to stress-free. The independence of $F_{t}$ on depth, $z$, implies the systems are in statistically steady state with a well-defined ${\textit{Nu}}$.

Figure 15

Figure 13. Propagation rate, $\omega / \omega _{{c}}$ versus the supercriticality, $R/R_{{c}}$. The dashed line shows the approximate linear dependence $\omega /\omega _c-1 \approx 1.05\, (R/R_{c}-1)$ near onset; compared with a predicted slope of approximately 1.09. The rates continue to increase up to $R/R_{{c}} \approx 2$. At that point, the stress-free case continues the trend, while the no-slip rate declines and eventually becomes prograde beyond $R/R_{{c}} \approx 5$.

Figure 16

Figure 14. Mean zonal flow in meridional planes: (a) no-slip case and (b) stress-free case. Both cases correspond to $R/R_{{c}} =4$.