Hostname: page-component-74656f9884-2dmjx Total loading time: 0 Render date: 2026-11-10T20:11:24.999Z Has data issue: false hasContentIssue false

A sufficient condition for inviscid shear instability: hurdle theorem and its application to alternating jets

Published online by Cambridge University Press:  10 October 2024

K. Deguchi*
Affiliation:
School of Mathematics, Monash University, VIC 3800, Australia
M. Hirota
Affiliation:
Institute of Fluid Science, Tohoku University, Sendai 980-8577, Japan
T. Dowling
Affiliation:
Department of Physics and Astronomy, University of Louisville, KY 40292, USA
*
†Email address for correspondence: kengo.deguchi@monash.edu

Abstract

We propose a simple method to identify unstable parameter regions in general inviscid unidirectional shear flow stability problems. The theory is applicable to a wide range of basic flows, including those that are non-monotonic. We illustrate the method using a model of Jupiter's alternating jet streams based on the quasi-geostrophic equation. The main result is that the flow is unstable if there is an interval in the flow domain for which the reciprocal Rossby Mach number (a quantity defined in terms of the zonal flow and potential vorticity distribution), surpasses a certain threshold or ‘hurdle’. The hurdle height approaches unity when we can take the hurdle width to greatly exceed the atmosphere's intrinsic deformation length, as holds on gas giants. In this case, the Kelvin–Arnol’d sufficient condition of stability accurately detects instability. These results improve the theoretical framework for explaining the stable maintenance of Jupiter and Saturn's jets over decadal time scales.

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 (http://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), 2024. Published by Cambridge University Press.
Figure 0

Figure 1. Example Jupiter profiles with respect to latitude of zonal wind, $U$ (solid line), and PV gradient, $Q' = {\rm d} Q/{{\rm d}y} = Q_y$ (dashed line), from the southern hemisphere, at 11 hPa pressure. A strong correlation between $U$ and $Q_y$ is evident. Here, ${{\rm d}y} = R \,{\rm d}\phi$, where $y$ is latitude in metres, $\phi$ is latitude in radians (planetographic) and $R(\phi )$ is the local radius of curvature (see (5) in Dowling & Ingersoll 1989). These are a sample of the profiles produced by Read et al. (2006) using the Cassini Composite Infrared Spectrometer (CIRS). Similar correlations to this figure are found at other pressure levels.

Figure 1

Figure 2. Classification of basic flow profiles. For all these examples, consider the PV gradient $Q'(y)$ profile shown in (a). The two PV extrema are indicated by the horizontal red dashed lines. The $U(y)$ profile shown in (b) is class (i). The $U(y)$ profile shown in (c) is class (ii) but not class (i). The $U(y)$ profile shown in (d) is not class (ii).

Figure 2

Figure 3. Comparison of Jupiter profiles of $U$ (solid) and $\kappa _0^{-2}Q_y$ (dashed), using the same data as in figure 1. Since $L/L_d \gg 1$ on Jupiter, it follows that $\kappa _0^2 \approx L_d^{-2}$, such that the similarity between the two profiles implies $M^{-1} \approx 1$ with $\alpha \approx 0$. This, and further evidence discussed in the text, support the identification of class (i) as the Jupiter-style class. The deformation length is set here to $L_d = c_{gw}/|\,f_0| = 1750\,{\rm km}$, using the gravity wave speed, $c_{gw} = 454\,{\rm m}\,{\rm s}^{-1}$, inferred from the Comet Shoemaker-Levy 9 impact analysis (Hammel et al.1995) and the Coriolis parameter, $f_0$, evaluated at the G-fragment impact site, latitude $\phi _0 = -47.5^\circ$ (planetographic); the figure is centred on $\phi _0$.

Figure 3

Figure 4. The PV gradient profile $Q'(y)$ defines the sets $\varOmega _+=\{y\in \varOmega \,|\, Q'(y)>0\}$, $\varOmega _-=\{y\in \varOmega \,|\, Q'(y)<0 \}$. For the zonal wind profiles $U(y)$ shown in (b,c), the set $\mathcal {D}=\mathcal {R}\backslash (\{U(y)\,|\,y\in \varOmega _+\}\cup \{U(y)\,|\,y\in \varOmega _-\})$, has two and one points, respectively (indicated by orange bullets and lines). Furthermore, in the vicinity of these points, there are no points belonging to the set (3.8). Therefore, both cases are class (ii).

Figure 4

Figure 5. Example of an unstable $M^{-1}_{\alpha }(y)$ profile. Observe that the blue curve overcomes the hurdle $h$.

Figure 5

Figure 6. (a) The eigenmodes of (4.6) for $L=16$, $L_d=1$, $a=1.5$ and $b=3.5$. There are four neutral modes for this parameter set. The solid curves are the theoretical results assuming large $L$ ($k\approx 1.225, 0.6707, 0.5494, 0.2476$). The symbols are the numerical results ($k\approx 1.269, 0.7178, 0.6016, 0.3564$). The red curve and the filled circles is the localised mode. The green curves and the open circles are the oscillatory modes. (b) The neutral $k$ for $L_d=1$, $a=1.5$ and $b=3.5$. The solid curves are the theoretical results, and the larger $L$, the better the agreement with the numerical results, shown by the symbols. In the limit $L\rightarrow \infty$, the oscillatory modes (green curves) form a continuous spectrum in the interval $k\in (0,\sqrt {0.5})$. There is only one localised mode (red curve) at $k=\sqrt {1.5}$.

Figure 6

Figure 7. (a) The theoretical neutral curve (4.7) for $L_d=1$. (b) Comparison of the theoretical neutral curve (green) and the numerical results (black) for $L_d=1$. The three numerical neutral curves are computed using $L=10,12,16$. (c) Comparison of the numerical neutral curve (black) and the unstable parameter region by Theorem 3.2 (red shaded). Here $L=16$, $L_d=1$. The $b$–$a$ plane is used to make it easier to see the relationship with figure 10. (d) The theoretical curve (4.7) for $L_d^{-1}=1,2,4,8$. The blue shaded region is stable from Theorem 3.1.

Figure 7

Figure 8. The black crosses are numerical solutions of the eigenvalue problem (2.3) with the PV gradient profile (4.2) and the parameters $L=16$, $L_d=1$, $a=1.5$ and $b=3.5$: (a) $U=\sin (2{\rm \pi} y)$; (b) $U=\tanh (y)$. The magenta squares are the neutral modes computed in figure 6(a). The dotted curves indicate the analytic upper bound of $c_i$ shown in the supplementary material available at https://doi.org/10.1017/jfm.2024.728. The panels on the right depict contour plots of the streamfunction $\psi (y)\,{\rm e}^{{\rm i}kx}+\psi ^*(y)\,{\rm e}^{-{\rm i}kx}$ at the wavenumber that maximises the growth rate $kc_i$. The sign of the contours is distinguished by red and blue.

Figure 8

Figure 9. Stability analysis in the fourth quadrant of figure 7(a), with $U=\sin (2{\rm \pi} y)$. Red plus symbols: $L=16$, $L_d=1$, $a=0.5$ and $b=2$. Green cross symbols: $L=16$, $L_d=1/8$, $a=0.5$ and $b=1.2$. In both cases, the most unstable eigenfunctions are indicated by arrows. The red and blue curves are contours of the streamfunction; see figure 8 caption.

Figure 9

Figure 10. The stability of the basic flow $U=\tanh (y)$ with the parameters $L=16$, $L_d=1$. The black curve is the numerically obtained neutral curve. The red shaded area is the unstable parameter region found by Theorem 3.2.

Figure 10

Figure 11. (a) Reciprocal Mach number profile for $L_d=1$, $L=16$, $a=0.5$ and $b=-0.5$. The basic flow $U=\tanh (y)$ is used. (b) The numerically obtained neutral modes at the same parameters. They have the phase speed $c_r\approx 0.7071$.

Figure 11

Figure 12. The same plots as figure 8 but for $L_d=1$, $L=16$, $a=0.5$ and $b=-0.5$. The basic flow $U=\tanh (y)$ is used. The neutral solutions, indicated by the magenta squares, are identical to those shown in figure 11(b). The red and blue curves are contours of the streamfunction; see figure 8 caption.

Figure 12

Figure 13. The black curve is the neutral curve for $L_d =1/2{\rm \pi}$, $L=16$. The basic flow profiles (4.2) and (4.4) are used. The blue shaded region is stable from Theorem 3.1. The red shaded region is unstable from Theorem 3.2.

Figure 13

Figure 14. Idealised, non-dimensional zonal wind profiles relevant to Jupiter. Note that the domain of latitudes shown is an enlarged view near the origin of the full domain, and $L/L_d \gg 1$ is assumed such that $\kappa _0^{-2}\approx L_d^2$. (a) The solid black curve is $U(y) = \sin (2{\rm \pi} y)$. The blue curve is $U_{deep}(y)$ corresponding $M^{-1} = 1$, which amounts to a positive shift by $\beta = 0.3$. The dashed black curve is the profile $M^{-1}(y) = a+(b-a){\rm sech}^2(y)$, with $(a,b) = (0.6,1.1)$, which is a point on the neutral curve shown in figure 13; the red curve is the corresponding $U_{deep}(y)$. (b) Profiles of $U$ (solid) and $\kappa _0^{-2}Q_y$ (dashed) corresponding to the dashed $M^{-1}$ and red $U_{deep}$ profiles in (a); compare with figure 3.

Figure 14

Figure 15. The stability of the Rayleigh equation with the model flow profile (C1). The blue regions are KA stable because there are no inflection points in $U(y)$. The red region is unstable according to Theorem 3.2. Numerical computations detect instability for $a\in (-0.5,0)$.

Figure 15

Figure 16. The green curve is the solution of the asymptotic problem (C4). The red filled circles are the solution of the Rayleigh equation with the basic flow (C1). The growth rate $c_i$ computed for various $k$ for $a=-0.45$, and then the data are rescaled as $c_{0i}=c_i/\epsilon ^4$, $k_0=k/\epsilon$, using $\epsilon =\sqrt {0.5-0.45}\approx 0.2236$.

Supplementary material: File

Deguchi et al. supplementary material

Deguchi et al. supplementary material
Download Deguchi et al. supplementary material(File)
File 357.3 KB