Hostname: page-component-74656f9884-8r8nv Total loading time: 0 Render date: 2026-11-09T19:53:17.758Z Has data issue: false hasContentIssue false

Floquet stability analyses of stratified oscillating boundary layers on adiabatic slopes

Published online by Cambridge University Press:  09 December 2022

Bryan E. Kaiser*
Affiliation:
X-Computational Physics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Lawrence J. Pratt
Affiliation:
Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA
*
†Email address for correspondence: bkaiser@lanl.gov

Abstract

The presence of a no-slip, impermeable, adiabatic, sloped boundary in an otherwise quiescent, stably stratified, Boussinesq flow generates baroclinic vorticity within a diffusive boundary layer. Such conditions are typical of the oscillating boundary layers on adiabatic abyssal slopes, sloped lake bathymetry and sloped coastal bathymetry in the absence of high-wavenumber internal waves, mean flows, far-field turbulence on larger scales, and resonant tidal–bathymetric interaction. We investigate the linear stability of the oscillating flow within non-dimensional parameter space typical of the $M_2$ tide and hydraulically smooth, middle-latitude abyssal slopes through Floquet linear stability analysis. The flow dynamics depends on three non-dimensional variables: the Reynolds number for Stokes’ second problem, the Prandtl number, and a frequency ratio that accounts for the resonance conditions ($C$, criticality) of the buoyant restoring force and the tidal forcing. The Floquet analysis results suggest that oscillating laminar boundary layers on adiabatic abyssal slopes are increasingly unstable as Reynolds number, criticality parameter and/or spanwise disturbance wavenumber are increased. We also show that the two-dimensional Floquet linear instability necessarily generates three-dimensional baroclinic vorticity, which suggests that the evolution of the gravitational instabilities may be nonlinear as $t\rightarrow \infty$.

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 in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. Illustration of Boussinesq boundary layers on abyssal slopes arising from the heaving of density surfaces up and down slope by internal waves with wavelengths ${O}(10)$ km.

Figure 1

Figure 2. Coordinate system and vorticity components.

Figure 2

Table 1. Solution coefficients for subcritical slopes, ${C}<1$. Here, $\delta _1$, $\delta _2$ and $L_b$ have units of length; all other variables are dimensionless.

Figure 3

Table 2. Solution coefficients for supercritical slopes, ${C}>1$. Here, $\delta _1$, $\delta _2$ and $L_b$ have units of length; all other variables are dimensionless.

Figure 4

Figure 3. The modulation ratio, the ratio of the spin-up time scale of the diffusion-driven component of flow to the tide period, for two different Prandtl numbers.

Figure 5

Figure 4. The neutral stability curve for Stokes’ second problem. Verification of spatial discretization, temporal discretization and eigenvalue calculation. The computed Floquet multipliers are shown by the grey shading, and the calculated ${\rm Re}[\mu ]=1$ contour is represented with the blue line. Here, $k$ is the streamwise wavenumber (analogous to the across-isobath wavenumber on a slope); see Appendix D for the governing equation for spanwise vorticity disturbances for Stokes’ second problem.

Figure 6

Figure 5. Grid convergence occurs only for stable calculations. Stable Floquet multiplier calculations achieve grid convergence. Near the neutral stability curve, the Floquet multiplier calculations fail to achieve grid convergence because finite differences of the identity matrix initial condition of the principal fundamental solution matrix introduce grid independent noise. Therefore the ‘wiggles’ of the blue curve in figure 4 are due to the sensitivity of the multiplier value to noise introduced at just after $t=0$ when finite differences are taken of discontinuities in the principal fundamental solution matrix.

Figure 7

Figure 6. $\log _{10}({\rm Re}[\mu ])$ for the streamwise vorticity $\zeta _1$ for subcritical and supercritical slopes as functions of criticality parameter (${C}=N\sin \theta /\omega$), Reynolds number ($\textit {Re}=U_0\delta /\nu$) and spanwise disturbance wavenumber ($l=2{\rm \pi} \delta /\lambda$). The pink lines are the Floquet neutral stability curves (${\rm Re}[|\mu |]=1$, ${\rm Re}[|\gamma |]=0$).

Figure 8

Figure 7. Integrated $\zeta _1$, $b$ budgets for $\textit {Re}=420$, $l=1.0$. Percentages of the right-hand sides of (2.42) and (2.43) are calculated by spatio-temporal integration of $\boldsymbol {A}(z,t)$, for the most unstable Floquet mode at each value of ${C}$. The flow is Floquet unstable at $\textit {Re}=420$, $l=1.0$ for all $C$ investigated, therefore the dominant mechanisms induce disturbance growth.

Figure 9

Figure 8. The neutral stability curve for Mathieu's equation; verification of the temporal discretization scheme and the eigenvalue calculation. The computed Floquet multipliers are shown by the grey shading, and the ${\rm Re}[\mu ]=1$ contour lies under the yellow line of Kovacic, Rand & Sah (2018) to graphical accuracy.

Figure 10

Figure 9. Grid convergence of buoyancy derivatives.

Figure 11

Figure 10. Test function for $\psi$.

Figure 12

Figure 11. Grid convergence of finite differences for the vorticity.