Issue 
A&A
Volume 626, June 2019



Article Number  A82  
Number of page(s)  17  
Section  Planets and planetary systems  
DOI  https://doi.org/10.1051/00046361/201833674  
Published online  18 June 2019 
Layered semiconvection and tides in giant planet interiors
II. Tidal dissipation
^{1}
AIM, CEA, CNRS, Université ParisSaclay, Université Paris Diderot, Sorbonne Paris Cité,
91191 GifsurYvette, France
email: quentin.andre@cea.fr; stephane.mathis@cea.fr
^{2}
LESIA, Observatoire de Paris, CNRS UMR 8109, UPMC, Université ParisDiderot,
5 place Jules Janssen, 92195 Meudon, France
^{3}
Department of Applied Mathematics, School of Mathematics, University of Leeds,
Leeds, LS2 9JT, UK
email: a.j.barker@leeds.ac.uk
Received:
19
June
2018
Accepted:
12
February
2019
Context. Recent Juno observations have suggested that the heavy elements in Jupiter could be diluted throughout a large fraction of its gaseous envelope, providing a stabilising compositional gradient over an extended region of the planet. This could trigger layered semiconvection, which, in the context of giant planets more generally, may explain Saturn’s luminosity excess and play a role in causing the abnormally large radii of some hot Jupiters. In giant planet interiors, it could take the form of density staircases, which are convective layers separated by thin stably stratified interfaces. In addition, the efficiency of tidal dissipation is known to depend strongly on the planetary internal structure.
Aims. We aim to study the resulting tidal dissipation when internal waves are excited in a region of layered semiconvection by tidal gravitational forcing due to other bodies (such as moons in giant planet systems, or stars in hot Jupiter systems).
Methods. We adopt a local Cartesian model with a background layered density profile subjected to an imposed tidal forcing, and we compute the viscous and thermal dissipation rates numerically. We consider two sets of boundary conditions in the vertical direction: periodic boundaries and impenetrable, stressfree boundaries, with periodic conditions in the horizontal directions in each case. These models are appropriate for studying the forcing of shortwavelength tidal waves in part of a region of layered semiconvection, and in an extended envelope containing layered semiconvection, respectively.
Results. We find that the rates of tidal dissipation can be enhanced in a region of layered semiconvection compared to a uniformly convective medium, where the latter corresponds with the usual assumption adopted in giant planet interior models. In particular, a region of layered semiconvection possesses a richer set of resonances, allowing enhanced dissipation for a wider range of tidal frequencies. The details of these results significantly depend on the structural properties of the layered semiconvective regions.
Conclusions. Layered semiconvection could contribute towards explaining the high tidal dissipation rates observed in Jupiter and Saturn, which have not yet been fully explained by theory. Further work is required to explore the efficiency of this mechanism in global models.
Key words: hydrodynamics / waves / methods: numerical / planets and satellites: dynamical evolution and stability / planets and satellites: interiors / planetstar interactions
© Q. André et al. 2019
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1 Introduction
Based on astrometric measurements spanning more than a century, Lainey et al. (2009, 2012, 2017) found that the rates of tidal dissipation in Jupiter and Saturn are one order of magnitude higher than previously thought. This has important astrophysical consequences since tidal interactions are a key mechanism for driving the rotational, orbital, and thermal evolution of moons and planets (and also stars) on very long timescales.
Moreover, we know that this evolution is linked to the efficiency of tidal dissipation in celestial bodies and strongly depends on their internal structures (see reviews by Mathis & Remus 2013; Ogilvie 2014; Mathis 2017, and references therein). In this framework, seismology has proven itself very useful for inferring the properties of, and understanding, the Earth’s interior. However, there have been no clear detections of oscillations of the surfaces of Jupiter and Saturn because the radial velocities of the excited modes have very small amplitudes (Gaulme et al. 2011). Thus, the internal structures of giant planets remain poorly constrained.
Some progress has been made recently, however. By analysing the properties of density waves excited in Saturn’s rings by the gravitational forcing due to global oscillation modes inside the planet, Fuller (2014) showed that these waves’ properties were compatible with an interior model that contains an extended stably stratified region outside a solid core that supports gravity modes. In addition, the ongoing Juno mission opens a path to improving our understanding of Jupiter’s interior (Miguel et al. 2016; Bolton et al. 2017). For instance, it has been estimated from Juno’s gravitational measurements that Jupiter’s zonal flows extenddown to only 3000 km below cloud level, which constrains the internal rotation of Jupiter (Kaspi et al. 2018; Guillot et al. 2018). In addition, and more relevant to the present study, it has been suggested by Wahl et al. (2017) that the deep interior structure of Jupiter is consistent with models in which the heavy elements of its core are diluted in its envelope. This observation, if confirmed, could corroborate a number of theoretical studies that suggest more complex models of giant planet interiors containing stabilising compositional gradients that hamper largescale convection in their deep interiors (Stevenson 1982, 1985; Leconte & Chabrier 2012; Vazan et al. 2016, 2018). This picture significantly departs from the standard threelayer model in which a molecular H/He envelope surrounds a metallic H/He envelope, on top of a rocky/icy core composed ofheavy elements (see Guillot et al. 2004). Among the relevant works, some have suggested that regions exhibiting a stable compositional gradient could exist, either at the core boundary due to its erosion (Guillot et al. 2004; Mazevet et al. 2015), or at the interface between metallic and molecular H/He due to gravitational settling of He droplets in the molecular region (Stevenson & Salpeter 1977; Nettelmann et al. 2015). In particular, the most recent study by Vazan et al. (2018) estimates that compositional gradients could persist from the primordial evolution of Jupiter for ~40% of its mass.
The presence of a stabilising compositional gradient alongside the destabilising entropy gradient (driving the convection) could trigger oscillatory doublediffusive convection in the form of layered semiconvection (see Garaud 2018, for a recent review) in which a large number of wellmixed convective layers are separated by thin stably stratified interfaces (Leconte & Chabrier 2012; Wood et al. 2013, and references therein). The associated density profile is nearly constant in the convective steps and undergoes a sharp jump in stably stratified interfaces, giving a density staircaselike structure. These kind of structures are also observed on Earth, for instance in the Arctic Ocean (Ghaemsaidi et al. 2016) and in geothermally active lakes (Wüest et al. 2012). The number of layers, their thickness, and the longterm evolution of the staircase are not well constrained based on our current understanding of the physics of these layers and of giant planet interiors more generally. A region of layered semiconvection could be important in the thermal evolution of giant planets, and may explain Saturn’s luminosity excess (Leconte & Chabrier 2013) and may contribute to the inflated radii of some hot Jupiters (e.g. Chabrier & Baraffe 2007). Finally, we note that Vazan et al. (2018) have estimated the region in which layered semiconvection could potentially be present in Jupiter today as ~ 10% of its mass.
In this work, we study for the first time the impact of layered semiconvection upon the efficiency of tidal dissipation within an idealised Cartesian model. Two tidal components are usually distinguished: the equilibrium tide, a largescale flow induced by the quasihydrostatic adjustment to the gravitational potential of the perturber (such as the moons of giant planets; see Zahn 1966; Remus et al. 2012), and the dynamical tide, composed of internal waves excited by the perturber (Zahn 1975; Ogilvie & Lin 2004). Their restoring forces are buoyancy and the Coriolis acceleration, thus they are often called gravitoinertial waves. Their dissipation by viscosity and thermal diffusion will lead to the longterm rotational, orbital, and thermal evolution of the system (e.g. Ogilvie 2014). In our Cartesian model, we adopt a tidallike forcing that is designed to mimic certain aspects of the periodic forcing of tidal gravitoinertial waves by the gravitational potential of a moon orbiting a giant planet. The orbital frequency of a moon is generally small compared to the dynamical frequency of the planet, and we mostly expect waves in the subinertial frequency range (i.e. with a frequency less than the Coriolis frequency 2Ω, where Ω is the mean rotation rate of the planet) to be excited resonantly by tidal forcing (e.g. Ogilvie 2014).
Recently, several papers have begun to study how a region of layered semiconvection could modify the propagation of internal (and inertial) waves, and to analyse the properties of their associated oscillation modes. Belyaev et al. (2015) derived the dispersion relation for the free modes of a staircase, showed that regions of layered semiconvection could sustain gmodes, and considered the effects of rotation at the pole and at the equator. Sutherland (2016) studied the transmission of an incident internal wave upon a density staircase embedded in a stably stratified medium under the traditional approximation, which consists of neglecting the horizontal component of the rotation vector in the Coriolis acceleration. Finally, André et al. (2017; hereafter Paper I) have generalised both of these previous studies by analysing the effects of rotation including the full Coriolis acceleration at any latitude, and studied its effects on the free modes of a density staircase and on the transmission of incident waves. We found that waves incident on a region of layered semiconvection are preferentially transmitted if their frequencies match those of a free mode of the staircase.
The present paper focuses on how the dissipation of the dynamical tide is affected by the presence of a region of layered semiconvection. In particular, our underlying motivation is to determine whether the dissipation of tidal waves in a region of layered semiconvection could be significantly enhanced compared to a fully convective (adiabatic) medium. If so, layered semiconvection could play a key role in explaining the high tidal dissipation rates observed in Jupiter (Lainey et al. 2009) and Saturn (Lainey et al. 2017), alongside other physical mechanisms such as turbulent friction applied to tidal inertial waves in convective envelopes (e.g. Ogilvie & Lin 2004; Mathis et al. 2016), the viscoelastic dissipation in rocky/icy dense central regions (e.g. Remus et al. 2012; Guenel et al. 2014), or the resonant locking of tidal gravitoinertial modes (Fuller et al. 2016).
In Sect. 2 we introduce the relevant mathematical and physical aspects of the forcing and dissipation of linear internal (and inertial) waves. In Sect. 3 we present our study of the layered case. In particular, we explore how the rates of tidal dissipation depend on the properties of the staircase and other control parameters of our model. We compare our results with the fully convective case, since this is the most commonly adopted model of giant planet interiors. Finally, we discuss in Sect. 4 some of the implications of our results, particularly for solar system giant planets, and we also present our conclusions and discuss some possible directions for future work.
2 Numerical calculation of the forcing and dissipation of internal waves in a region of layered semiconvection
2.1 Main assumptions
Our main assumptions are the same as in Paper I, except that we now take into account dissipative processes. We adopt the Boussinesq approximation in a local Cartesian model (Gerkema & Shrira 2005; Mathis et al. 2014) that represents a small patch of a giant planet. We centre our box on a point M of the gaseous envelope (see Fig. 1). We thus neglect the sphericity of the problem as the first step (see e.g. the appendix in Ogilvie & Lin 2004; Auclair Desrotour et al. 2015; André et al. 2017, for the cases of pure inertial waves, gravitoinertial waves, and gravitoinertial waves in the layered case, respectively). Our aim is to study the dissipation of shortwavelength internal waves by viscosity and thermal diffusion, which are represented here by a constant kinematic viscosity ν, and a constant thermal diffusivity κ. In the case of convective layers, these coefficients represent an effective viscosity/diffusivity that accounts for turbulent friction acting on tidal waves (e.g. Zahn 1966, 1989; Goldreich & Keeley 1977; Ogilvie & Lesur 2012; Mathis et al. 2016).
We adopt the same notation as in Paper I, in particular our local system of coordinates (x, y, z) corresponds to the local azimuthal, latitudinal, and radial directions, respectively. The rotation vector Ω is inclined by an angle Θ with respect to the gravity vector g, which is (anti)aligned with the vertical direction. Thus, the latitudinal and vertical components of the rotation vector are, respectively,
so that We follow Gerkema & Shrira (2005) and we introduce a reduced horizontal coordinate, χ, which makes an angle α with respect to the xaxis: (3)
This will allow us to treat the problem within a twodimensional framework. We finally define (4)
Fig. 1 Left panel: global view of a giant planet: the gaseous envelope (in yellow, the shading denoting density), lies on top of the core (in red). Right panel: magnified picture of the local Cartesian box, centred on a point M of a giant planet envelope, corresponding to a colatitude Θ. The box is tilted with respect to the spin axis, and its vertical axis z, corresponding to the local radial direction, is thus antialigned with gravity. The x and yaxes correspond to the local azimuthal and latitudinal directions, respectively, while the χaxis makes an angle α with respect to the xaxis. 

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2.2 Equations of motion and energetics
We study the linear excitation of gravitoinertial waves subject to dissipative processes, namely viscosity and thermal diffusion. We now include an external body forcing F, with components (F_{x}, F_{y}, F_{z}) in the local Cartesian model. We note that tidal gravitoinertial waves are not forced directly by the tidal potential, but by the Coriolis acceleration applied to the equilibrium tide (see e.g. Ogilvie 2014, and references therein). We focus on the linear tidal response in this study, neglecting the effects of fluid nonlinearities on the dissipation (or excitation) of waves (Jouve & Ogilvie 2014; Favier et al. 2014). This is likely to be an appropriate assumption for studying the excitation of waves in giant planets excited by their natural satellites, though it is possible that nonlinear effects could still play some role in damping shortwavelength waves, which is neglected here.
The linearised components of the momentum equation in the Boussinesq approximation are
where u, v, and w are the components of the velocity perturbation in the local azimuthal, latitudinal, and radial directions, respectively; ρ_{0} is a constant reference value for the density; p is the pressure fluctuation; and (8)
The continuity equation is (9)
Finally, the thermal energy equation is (10)
is the fluid buoyancy, ρ is the density fluctuation, and N^{2}(z) is the squared buoyancy frequency whose zdependence is chosen to model a layered density structure (see Sect. 2.4).
From the above set of equations, we derive in Appendix A the forced Poincaré equation, (13)
Equation (13) governs the spatiotemporal evolution of the vertical velocity of gravitoinertial waves driven by a prescribed body force F in the presence of dissipative mechanisms. Our adopted body force will be designed to mimic certain aspects of tidal forcing.
We wish to understand how efficiently tidally forced waves are dissipated in a region of layered semiconvection. From Eqs. (5)–(10), we thus derive an energy balance equation (15)
where Ē is the total (pseudo)energy of the wave, the sum of kinetic and (available) potential energies (both spatially averaged over the box): (16)
respectively. We also define Π = pu, the flux density (flux per unit area) of energy, and the volumeaveraged dissipation by viscosity and thermal diffusion:
respectively. Finally, the mean rate of energy injection by the forcing is (20)
Our goal is to calculate numerically the volumeaveraged rates of viscous and thermal dissipation, and , respectively, and the averaged total dissipation rate, (21)
as various parameters of our problem are varied. In particular, we compute the frequency dependence of the dissipation by varying the frequency of the forcing, ω, and thus obtain what we refer to as dissipation spectra. We are also interested in computing frequencyaveraged dissipation, following Ogilvie (2013), (22)
which provides a measure of the dissipation at low frequencies. This quantity will be useful for studying how the dissipation varies with the parameters of our problem, including the properties of the background density staircase (see Sect. 2.4). The fact that this is weighted with the inverse of the tidal frequency, naturally makes it a frequencyaveraged measure of the dissipation in the lowfrequency range corresponding to inertial waves, which is usually the relevant range for tidal forcing (e.g. Ogilvie 2014). Moreover, the final result will strongly depend on the dependence of the forcing to the tidal frequency. We also note that the expression given by Eq. (22) has been used for applications to giant planets (Guenel et al. 2014) and stars (Mathis 2015; Gallet et al. 2017; Bolmont et al. 2017), and provides a representative order of magnitude of the tidal dissipation, so that its consequences on the evolution of planetary systems can be studied (Bolmont & Mathis 2016; Damiani & Mathis 2018).
2.3 Numerical statement of the problem
We consider our variables to vary as (23)
where the wavenumbers in the horizontal direction, k_{x} and k_{y}, and the frequency ω, are the same as that of the tidallike forcing F. The latter is taken to be 2π periodic in the x and ydirections, and in time. Thus, we write (24)
Here, the vector contains the Fourier components of F in the local azimuthal, latitudinal and radial directions, respectively.
We note that the frequency ω is not necessarily equal to the orbital frequency of a companion. Indeed, in the case of a circular aligned orbit, the dominant component of the tidal potential has ω = 2(n − Ω) (where n is the orbital frequency), which is not equal to n in general. In addition, it is appropriate for us to solve only for the k_{x}, k_{y}, and ω of the forcing because we are considering a linear problem (so that all horizontal wavenumbers and frequencies are uncoupled). In the case of an eccentric or inclined orbit, several frequencies should instead be considered (e.g. Zahn 1966, 1977; Mathis & Le PoncinLafitte 2009; Ogilvie 2014).
2.3.1 Vertically periodic boundary conditions
For the first set of calculations, we have assumed quantities to be periodic in the vertical direction, which is equivalent to considering part of a more vertically extended staircase. To solve the system of Eqs. (5)–(10) numerically, we can therefore use a Fourier collocation method (Boyd 2001). This method assumes that approximate solutions are represented as a discrete Fourier series that matches the exact solution on a set of collocation points, defined by (25)
where N_{z} is the number of grid points, and z_{i} and z_{o} define the inner and outer edge of the box, respectively. Here we choose z_{i} = −L_{z}∕2 and z_{o} = L_{z}∕2. A spectral collocation method is used in preference to finite differences to approximate the derivatives because spectral methods are more accurate for smooth solutions, allowing us to use fewer grid points to obtain the same accuracy, which is computationally more efficient. Vertical derivatives are performed using the derivative matrix D_{1} (see e.g. Appendix F of Boyd 2001), defined by (26)
We adopt a collocation method, rather than a Fourier Galerkin method because this allows us to solve for modes in a spatially varying (with z) density structure more efficiently.
While considering periodic boundary conditions in the vertical is relevant for studying global modes propagating in a portion of a more vertically extended staircase, this assumption does exclude certain effects. In particular, this model prevents reflection of internal waves from a solid core, which can be important in the geometrical focusing of internal wave beams along wave attractors (e.g. Ogilvie & Lin 2004). This should be considered in an equivalent study in a global geometry. Nevertheless, here we extend our study in this Cartesian model by modifying boundary conditions.
2.3.2 Vertically rigid and stressfree boundary conditions
To address this point, we also consider a model with the same setup as above, but with impenetrable, stressfree boundary conditions in the vertical. For clarity, hereafter we refer to them as rigid boundary conditions. This model permits the reflection of waves from the boundaries, and leads to a modification of the global modes, as in the case of periodic boundary conditions. We implement these conditions by using a Chebyshev collocation method instead of a Fourier method in the vertical direction. Our setup assumes impenetrable, stressfree boundary conditions, with zero buoyancy perturbation at the upper and lower boundaries. Namely, at z = z_{i} and z = z_{o}, we impose that: (27)
We otherwise solve the same system of equations as in Sect. 2.3.1 at the Gauss–Lobatto points, such that (28)
Derivatives are calculated using a different derivative matrix D_{1} (see e.g. Appendix F of Boyd 2001) than in Sect. 2.3.1, which is now defined by (30)
where p_{0} = p_{N} = 2, and p_{j} = 1 otherwise.
This setup represents a planeparallel model of an extended giant planet envelope filled with a region of layered semiconvection. The reflection of internal waves from the core and surface are then allowed. This model may be more realistic than the one considered in Sect. 2.3.1, but for simplicity we continue to neglect global curvature effects that would be present in spherical geometry, and continue to adopt the Boussinesq approximation, which prevents us from studying realistic planetary density profiles (where the density should vary over several orders of magnitude).
2.4 Modelling the layered structure and the forcing
The assumption of periodicity in the vertical direction is appropriate if we consider our model to represent part of a more vertically extended density staircase. We can then consider our staircase to have a periodicity of m steps. We also consider rigid upper and lower boundaries, which is appropriate if we consider our model to represent a planeparallel layer of a giant planet entirely filled with layered semiconvective steps and containing m stably stratified interfaces.
Fig. 2 Buoyancy frequency N(z) for an example with 3 steps. Convective layers of size d, within whichN(z) = 0, are separated by stably stratified interfaces of size l, within whichN(z) > 0, given by Eq. (31). The amplitude of the peaks, N_{0}, is calculated so that the mean stratification equals . Here, . 

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2.4.1 Layered structure and buoyancy frequency profile
In a layered structure, the buoyancy frequency N (and accordingly the background density gradient) is not uniform and can vary with z on rather short length scales. Unlike in Paper I, we adopt a smooth buoyancy frequency profile, which is advantageous numerically. We take a profile likethat displayed in Fig. 2 to model the alternation of convective and stably stratified layers. Namely, we take (31)
such that stably stratified interfaces correspond to positive values of the squared buoyancy frequency, while this is taken to be zero in convective layers (such that they are isentropic and well mixed). We define m to be the number of steps in the domain (or equivalently the number of interfaces), l to be the size of the stably stratified layers, and z_{j} to be the position of the jth interface, defined by (32)
The size of the convective layers is then d = (L_{z} − ml)∕m. This placement of the interfaces ensures that the distance between adjacent interfaces equals d, except at both ends of the domain in z. We also define the aspect ratio ε, as the ratio between the size of the stably stratified interfaces, l, and the size of the convective layers, d, (33)
This parameter is expected to be small in the planetary regime. The step size, d, is expected to be smaller than the density (or pressure) scale height, H, with a ratio d∕H that is likely to be in the range 10^{−6} ≲ d∕H ≲ 1 (Leconte & Chabrier 2012; Nettelmann et al. 2015).
The amplitude of the buoyancy frequency, N_{0}, is calculatedto obtain the prescribed mean stratification (34)
where the dimensionless variable ζ = z∕L_{z}. This gives (35)
Figure 2 shows an example profile of N(z) with three steps, for which .
2.4.2 Box parameters and dimensionless numbers
The vertical extent of the box is chosen such that L_{z} = 1, with the domain extending from z_{i} = −1∕2 to z_{o} = 1∕2. The rotation rate is such that 2Ω = 1, and the spin axis is chosen here to make an angle Θ = π∕4 with respectto the direction of gravity in order to study the midlatitude. By choosing these parameters, we have defined our units of length to be L_{z} and time to be . We finally set ρ_{0} = 1 to define our unit of mass. To quantify the relative importance of diffusive processes, we use the Ekman number, (36)
and its equivalent for thermal dissipation, (37)
Unless specified otherwise, we set E = K, thus giving a Prandtl number Pr ≡ ν∕κ = E∕K = 1. In planetary interiors, we expect smaller values for Pr, which can typically be of order 10^{−2} or smaller (Wood et al. 2013). Similarly, E and K are expected to reach much smaller values in reality than we have chosen here. Typically, the microscopic viscosity estimated by the models of Guillot et al. (2004) correspond to E of order 10^{−18} (Ogilvie & Lin 2004). However, such values are computationally inaccessible, with smaller values making the problem much more computationally demanding. Our intention is to probe the physics using accessible parameter values, with the hope that we can extrapolate to the astrophysical regime. On the other hand, in the case of convective layers, a Prandtl number associated with an effective turbulent viscosity and thermal diffusivity may be of order 1.
In order to quantify the importance of stratification relative to rotation, we also define the dimensionless number (38)
Unless specified otherwise, we take . The relevant value for this parameter is uncertain. For example, in the Arctic ocean, Ghaemsaidi et al. (2016) found that 70 mrad s^{−1}, while 2Ω_{Earth} ~ 0.07 mrad s^{−1} (and 2Ω_{Jupiter} ~ 0.35 mrad s^{−1}). However, it is unclear from theory or simulation what this parameter could be in the deep interiors of giant planets. Fuller (2014) adopts a typical value of to model a stably stratified region outside the core of Saturn. In Sect. 3.3.3 we explore how tidal dissipation varies as a function of .
2.4.3 Forcing term
We adopt a body force vector (39)
with and k_{⊥} = k_{z} = 2π. We recall that χ = xcosα + ysinα, where we have chosen α = π∕2. Our choice of F is somewhatacademic, but is designed to mimic aspects of largescale tidal forcing, i.e. forcing of waves by the equilibrium tide, which acts as an effective force driving the dynamical tide. In reality, this is radially nodeless (so not oscillatory in z), but we first take it to be periodic in z with the longest wavelength for numerical convenience. In order to relax the assumption of periodicity of the forcing with rigid boundaries, we have also performed calculations for which the forcing term was given a linear dependence in z, namely . This is a more realistic approximation to the driving of waves by the equilibrium tide in a local model. However, this did not produce any significant modification to our results with a periodic forcing in z (in general). We therefore focus on cases with periodic forcing in z.
In addition, we have explored the effect of modelling a frequencydependent expression for the forcing term when computing frequencyaveraged dissipation rates (see Sect. 3.3) according to Eq. (22). This is physically more realistic in the sense that the equilibrium tide (e.g. Zahn 1966; Remus et al. 2012), which is responsible for forcing the tidal waves, has a velocity amplitude that is proportional to the tidal frequency ω (e.g. Ogilvie & Lin 2004; Ogilvie 2013). The resulting forcing of the dynamical tide itself is composed of two terms: the acceleration of the equilibrium tide and the Coriolis acceleration applied to the equilibrium tide (see e.g. Eq. (B6) of Ogilvie 2005). The first has a frequency dependence in ω^{2}, while the second has a frequency dependence in ω (e.g. Ogilvie & Lin 2004; Ogilvie 2013). When computing frequencyaveraged dissipation spectra in Sect. 3.3, we take (instead of 1 for calculations of dissipation spectra) to account for the term that dominates at low (subinertial) tidal frequencies, but in principle both terms should be taken into account. This property also ensures that the dissipation goes to 0 when the tidal frequency ω vanishes, such as when spinorbit synchronisation occurs.
We have chosen a simplistic expression for the forcing as a first step to study the problem of tidal dissipation in layered semiconvection because our main goal is to clearly identify the physical effects of a layered density structure on tidal dissipation. Choosing a more general form for F, while it might be more realistic, would result in more resonant peaks, making the physical interpretation more challenging. We defer calculations adopting this more realistic tidal forcing to a future study in spherical geometry.
2.5 Test case in a uniformly stratified medium
In order to check the validity of our numerical code using both the Fourier and Chebyshev collocation methods, we present two test cases with uniform buoyancy frequency profiles, as in the appendix of Ogilvie & Lin (2004) and in Auclair Desrotour et al. (2015). We have verified that our code closely agrees with their results in the appropriate cases. For the uniform case with vertically periodic boundary conditions, a Fourier transform can also be used in the zdirection and the system (Eqs. (5)–(10)) can be solved analytically.
In Fig. 3, we show our results for a uniformly stably stratified medium with , using periodic (left) and rigid (right) boundary conditions in the vertical direction. This can be compared with Auclair Desrotour et al. (2015), among others, in the appropriate cases. In the case of periodic boundary conditions, we find perfect agreement for the dissipation spectra obtained using the two separate methods, indicating that our code works correctly. The corresponding averaged viscous and thermal dissipation spectra, and , respectively, are shown in both panels of Fig. 3 as a function of the normalised forcing frequency, ω∕2Ω.
Fig. 3 Viscous (in blue) and thermal (in red) dissipation spectra in a uniformly stably stratified medium with throughout the domain in the case of periodic (left) and rigid (right) boundary conditions. Left panel: resonant peak centred on the single gravitoinertial mode that is resonant with the forcing, with frequency given by Eq. (40). Right panel: rigid boundary conditions do not perfectly excite only a single global mode, they instead excite many modes that match the roots of the dispersion relation of gravitoinertial waves when k_{z} = nπ, for n = {1, …20}. 

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Periodic boundary conditions
In the left panel of Fig. 3, the viscous and thermal dissipation spectra both show a resonant peak centred on the frequency (40)
which corresponds with the positive root of the dispersion relation for gravitoinertial waves for our chosen parameters. At this particular frequency, the forcing is resonant with the boxscale gravitoinertial mode, which is influenced by both rotation and stable density stratification. This leads to enhanced dissipation around that frequency. We note that given the simple form we have chosen for the forcing, we only obtain one resonant peak. More peaks would be obtained if we were to take a forcing that was a sum over many wavenumbers (Ogilvie & Lin 2004; Auclair Desrotour et al. 2015). In a spherical shell, the tidal response is also likely to contain more resonant peaks (e.g. Ogilvie & Lin 2004).
Rigid boundary conditions
In the right panel of Fig. 3, we use rigid boundary conditions in the vertical direction, such that the condition w(−L_{z}∕2) = w(+L_{z}∕2) = 0 is imposed. The vertical wave number is then given by (41)
where k_{⊥} = 2π is imposed by the forcing. We can deduce the corresponding theoretical eigenfrequencies using the quantisation relation (42)
where n is an integer (Gerkema & Shrira 2005). The resulting frequencies are shown as grey vertical dashed lines, for n ={1, …, 20}. For n ={1, …, 15}, these match perfectly the resonant peaks obtained with our numerical code using the Chebyshev method, indicating that this is working correctly. Higher values of n correspond to modes oscillating on smaller scale, which are efficiently damped by diffusive processes. We note that our forcing does not excite only a single mode in this case, but instead excites many modes.
3 Dynamical tide in layered semiconvection
We now analyse the forced problem for a layered semiconvective medium. The background buoyancy profile associated with layered semiconvection differs drastically from a uniformly stably stratified or fully convective medium. Accordingly, we expect to obtain different resonances that are associated with the layered density structure, as we also found in Paper I. In this section we identify these resonances, try to understand their underlying physics, and compare the dissipation of a density staircase with a fully convective medium, which is the standard model for giant planet deep interiors.
3.1 Resonance with free modes of the staircase
Armed with the numerical setup described in Sect. 2, we computed spatially averaged dissipation rates as a function of the forcing frequency. We focus first on the case with periodic boundary conditions, with one stably stratified interface in the middle of the box, an aspect ratio ε = 0.2, and diffusivity coefficients E = K = 10^{−5}. The dissipation spectrum obtained is displayed in the top panel of Fig. 4 (solid blue line). We have chosen to represent only the dissipation spectra for positive frequencies, adopting a logarithmic scale for clarity, keeping in mind that the dissipation is symmetric with respect to ω = 0 in this model (see also Ogilvie & Lin 2004; Auclair Desrotour et al. 2015).
The first feature to note is that the dissipation spectrum contains a number of peaks with enhanced dissipation, which differs from the case of a uniform medium (e.g. left panel of Fig. 3). This illustrates that a region of layered semiconvection possesses a richer set of resonances than a fully convective medium.
To determine the free modes, we set F = 0 in Eq. (A.4), to obtain the unforced Poincaré equation. This is solved as an eigenvalue problem for the eigenfrequencies and eigenmodes using the same Fourier collocation method. We have also done this for one stably stratified interface with an aspect ratio ε = 0.2 and E = K = 10^{−5}. The eigenfrequencies are plotted in the top panel of Fig. 4 as red crosses. The magnitude of the imaginary part of each eigenfrequency (effectively the damping rate of the associated eigenmode) is plotted as a function of its real part (effectively its temporal frequency). We plot only the least damped modes as they are likely to be the best resolved using our numerical method, and we have discarded certain “junk” eigenmodes that oscillate on the gridscale.
We see that each peak on the dissipation spectrum corresponds to the frequency of a free mode of the staircase, indicating that their excitation by our forcing is responsible for the peaks. In addition, the narrowest dissipation peaks correspond to the least damped modes, as expected. By lowering the diffusivities, we expect even more free modes to be excited by the forcing.
We now analyse the spatial structure of the free modes. In the bottom left panel of Fig. 4, we plot the zdependence of the vertical velocity, Ŵ(z), of a shortwavelength inertial eigenmode corresponding to the leftmost resonance. This is localised within the convective layer, (and has , using the same notation as in Sect. 3.2.1). In the bottom right panel of Fig. 4, we plot the zdependence of the vertical velocity, Ŵ(z), of the gravity eigenmode of the staircase, corresponding to the rightmost resonance. This is primarily localised inside the stably stratified interface. Finally, in the bottom middle panel of Fig. 4, we plot the zdependence of the vertical velocity, Ŵ(z), of a shortwavelength gravitoinertial eigenmode of the staircase, corresponding to ω∕2Ω ~ 2.31. In each panel, the solid blue line represents the real part of Ŵ(z) while the dashed orange line represents its imaginary part.
Fig. 4 Top panel: dissipation spectrum in our reference case with periodic boundary conditions and one step (solidblue line), also displaying the eigenfrequencies (red crosses) of the free Poincaré equation for which the magnitude of the imaginary part is represented as a function of their real part. Bottom panel: zdependence of the vertical velocity, Ŵ(z), of a shortwavelength inertial eigenmode corresponding to ω∕2Ω ~ 0.258, the leftmost resonance (left panel); of a shortwavelength gravitoinertial eigenmode corresponding to ω∕2Ω ~ 2.31 (middle panel); and of the gravity eigenmode of the staircase, corresponding to ω∕2Ω ~ 16.1, the rightmost resonance (right panel). For each panel, the solid blue line represents the real part of Ŵ (z), while the dashed orange line represents its imaginary part. 

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3.2 Understanding the resonant modes
In this section we are interested in understanding the forced spectral response of the layered structure. We use a forcing amplitude equal to unity, thus independent of frequency.
Figure 5 shows three dissipation spectra obtained using periodic boundary conditions, each computed for one stably stratified interface with ε = 0.2. The different panels correspond to decreasing diffusivities such that E = K = 10^{−3}, 10^{−4}, and 10^{−5} (from top to bottom). For each panel, the total dissipation rate, , is represented by the solid orange line, while its viscous and thermal contributions, and , are represented by the dotted blue and red lines, respectively. For comparison, the dissipation spectrum in a fully convective medium, , is represented by the dashed light blue line, and all the dissipation rates have been normalised by .
In agreement with Ogilvie & Lin (2004) and Auclair Desrotour et al. (2015), the resonant peaks are more numerous and narrower when the viscosity (and thermal diffusivity) is decreased to reach the smaller values that are more relevant to planetary or stellar interiors. However, while our choice of parameters would give only one resonant peak in a uniformly stably stratified or fully convective medium, centred on ω∕2Ω = 1 in the latter case (see Fig. 5), we clearly see that the layered structure introduces new resonances. As a result, it is clear that for E = K ≤ 10^{−4} (see the twobottom panels of Fig. 5), the total dissipation in the layered case is higher than in the convective case, except in a narrow frequency window around the Coriolis frequency, 2Ω. This discrepancy also seems to become more important when diffusivities get smaller, especially near the resonances introduced by the layered structure. Another observation is that these additional resonances are broadly distributed over the frequency spectrum. Some correspond to resonances with inertial modes, corresponding to frequencies ω ≲2Ω (red region in top panel of Fig. 5); some with superinertial gravitoinertial modes, corresponding to frequencies (purple region in top panel of Fig. 5); and finally some with gravity modes, corresponding to frequencies (blue region in top panel of Fig. 5).
In what follows, we identify the underlying physics behind these resonances, building upon Sect. 3.1. In the bottom panel of Fig. 5, corresponding to the lowest value of the diffusivities (E = K = 10^{−5}), we indicate the position of particular frequencies. These frequencies are described by simple dispersion relations, also found in André et al. (2017) to correspond with waves that are efficiently transmitted across a density staircase. They are found to be good candidates to explain the resonances that are observed, and are described in further detail below.
Fig. 5 Dissipation spectra with periodic boundary conditions for a single interface with three different diffusivities (Ekman numbers), E = K = 10^{−3} (top), 10^{−4} (middle), and 10^{−5} (bottom), and an aspect ratio ε = 0.2. The total dissipation is represented by the solid orange line, and its viscous and thermal contributions are represented by the dotted blue and red lines, respectively. The dashed light blue line represents the spatially averaged dissipation for a fully convective medium, . For each panel, the quantity represented is , where as a functionof the normalised frequency ω∕2Ω. In the bottom panel the vertical dashdotted lines indicate the position of characteristic frequencies discussed in Sect. 3.2 (from left to right): resonance with shortwavelength inertial modes (in grey), resonances with shortwavelength superinertial gravitoinertial modes (in green), and resonance with a free gravity mode of the staircase (in light red). 

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3.2.1 Resonance with shortwavelength inertial modes
In the inertial regime (ω < 2Ω), a succession of resonances with enhanced dissipation appear as we decrease the viscosity. These resonances correspond to inertial modes with vertical semiwavelengths that fit inside the convective layer. The grey dashed lines in the bottom panel of Fig. 5 thus correspond to frequencies that obey the relation λ_{z} ∕2 = nd, or equivalently (43)
for different integers n. Here, d is the vertical extent of the convective region (see Fig. 2), and to draw the vertical lines in Fig. 5, we use the vertical wavenumber in the adiabatic limit, (44)
where the superscript “(c)” is used to indicate that this is the vertical wave number in a convective medium. We recall that the expressions of the quantities f and are given in Sect. 2.1. The expression above is obtained from the dispersion relation of pure inertial waves, (45)
where .
The discrepancy between the predicted and actual positions of those resonances can be partly explained in two ways. Firstly, the vertical wavenumber above corresponds to the adiabatic case. Secondly, the stably stratified interface in the middle of the box has a nonnegligible vertical extent in which even pure inertial waves become influenced by buoyancy. This differs from the idealised model that was used in Paper I, in which stably stratified interfaces were infinitesimally thin. We recall that in Paper I the modes matching the condition given by Eq. (43) were also found to be efficiently transmitted through a density staircase.
3.2.2 Resonance with shortwavelength superinertial gravitoinertial modes
Based on a similar idea, we also looked for modes in the gravitoinertial regime with vertical semiwavelengths that fit inside the thin stably stratified interfaces, where they are propagative. In the bottom panel of Fig. 5, the dotdashed green vertical lines correspond to frequencies such that (46)
for three different integers n = {1, 2, 3}. The frequency is given by the dispersion relation of gravitoinertial waves, (47)
where k_{z} is now the vertical wavenumber in a stably stratified medium, characterised by the constant buoyancy frequency N_{0}. We note that these waves are evanescent in the convective layer since 2Ω < ω < N_{0} (see Mathis et al. 2014).
Since the buoyancy frequency is not constant in the stably stratified region (see Fig. 2), N_{0} was chosen to match the corresponding peaks as closely as possible. Its value was restricted so that . However, we note that we do not expect the vertical lines to perfectly match the position of the resonant peaks because N^{2} (z) is not constant in the interfaces, and additionally the dispersion relation used above (Eq. (47)) was obtained in the adiabatic case. Nevertheless, this clearly explains the physics of these resonances with enhanced dissipation.
3.2.3 Resonance with the free gravity mode of the staircase
In Paper I, we derived the following dispersion relation for the free modes of the staircase (extending prior work by Belyaev et al. 2015): (48)
where the stably stratified interfaces were modelled as discontinuous jumps. Here, k_{z} is given by Eq. (47), , and cosθ is one of theroots of the polynomial (49)
where T_{m} and U_{m} are Chebyshev polynomials of the first and second kinds, respectively, with their order m being equal to the number of convective steps.
Since k_{z} has a complex dependence on ω, it is challenging to extract the roots of the dispersion relation given by Eq. (48) in general. However, when looking at gravity modes, the effect of rotation can be neglected, so that Eq. (48) reduces to (50)
(Belyaev et al. 2015). This particular frequency (when m = 1) is displayed in the bottom panel of Fig. 5 (light red dotdashed vertical line). Its position matches rather well the position of the rightmost resonant peak, though we do not expect a perfect match because we have neglected the effects of rotation and diffusion, and we have modelled the interfaces as smooth rather than discontinuous jumps, unlike the assumptions that went into the derivation of this expression.
The dispersion relation above has exactly m roots, so that there could be up to m resonant peaks corresponding to resonances with free modes of the staircase, visible on the dissipation spectra. We retrieve this property when using rigid boundary conditions with more than one step. This is shown in Fig. 6, which displays the same quantities as in the bottom panel of Fig. 5 but using rigid boundary conditions in the case with m = 5 and ε = 0.5. The five roots of the dispersion relation written above (Eq. (50)) are overplotted (grey dashdotted vertical lines). They approximately match the five resonant peaks on the dissipation spectra; these frequencies were found to match more closely than the free modes of a uniformly stratified medium with rigid conditions. The discrepancy can be explained, as in the previous case, by noting that Eq. (50) was derived in a nonrotating planeparallel model, assuming infinitesimally thin stably stratified interfaces. This differs from our numerical setup which includes rotation, and contains stably stratified layers with a finite size for numerical reason.
3.2.4 Changing the aspect ratio and the number of steps
Given the physical interpretation in the previous sections, we expect the location of the resonant peaks to change withthe size of the convective layers (for resonances with shortwavelength subinertial modes) and the size of the stably stratified layers (for resonances with shortwavelength superinertial gravitoinertial modes). We also expect this to be true for resonances with free modes of the staircase since the corresponding dispersion relation, given by Eq. (50), explicitly depends on the size of the convective layers d and the number of stably stratified interfaces m. To illustrate this, we show how dissipation spectra are modified when we vary the aspect ratio ε, and the number of stably stratified interfaces m.
Fig. 6 Sameas the bottom panel of Fig. 5, but using rigid boundary conditions in the case with m = 5 and ε = 0.5. Vertical grey dashed dotted lines indicate the five eigenfrequencies calculated from Eq. (50). The vertical dotted lined at ω = 2Ω indicates the upper limit of the subinertial frequency range. 

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Fig. 7 Dissipation spectra obtained with m = 1 step for the different aspect ratios ε = 0.04 (solid blue line), 0.34 (green dashed line), and 1.00 (red dashdotted line) and E = K = 10^{−5}, using vertically periodic boundary conditions (top) and vertically rigid boundary conditions (bottom). For comparison, the dotted light blue line corresponds to the case of a fully convective medium. 

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Changing the aspect ratio
Figure 7 shows three different dissipation spectra corresponding to the aspect ratios ε = 0.04 (solid blue line), 0.34 (green dashed line), and 1.00 (red dashed dotted line), all with one step and E = K = 10^{−5}. The top panel corresponds to periodic boundary conditions, while the bottom panel corresponds to rigid ones.
Let us first focus on the viscous dissipation rate obtained in a fully convective medium (light blue lines). In the case with periodic boundary conditions (top panel), a single resonant peak is observed at ω =2Ω, while in the case with rigid boundary conditions (bottom panel), the forcing imperfectly excites a set of shortwavelength inertial modes. Thisis similar to what we have identified in the case of a uniformly stratified medium in Sect. 2.5.
Let us consider the dissipation spectra corresponding to the layered case. In the subinertial frequency range, resonant peaks are more numerous for small aspect ratios, while in the superinertial frequency range, resonant peaks are more numerous for high aspect ratios (since larger wavelength modes can then fit inside the stably stratified layer). In addition, the rightmost resonant peak shifts to smaller frequencies as the aspect ratio increases. This is consistent with Eq. (50), which tells us that ω is an increasing function of d (the size of the convective layer).
Let us now compare the differences between boundary conditions, i.e. between the two panels of Fig. 7. First, it can be seen that the dependence of the main features of the spectra in term of number of resonant peaks, their shapes, and their associated frequencies, is qualitatively similar with both sets of boundary conditions. However, we find some differences in the subinertial range: for the same aspect ratio, more resonances with shortwavelength inertial modes are observed in the case with periodic boundary conditions.
Changing the number of steps
Figure 8 shows three different dissipation spectra corresponding to different numbers of steps m = 1 (solid blue line), 2 (green dashed line), and 5 (red dashed dotted line), again all with E = K = 10^{−5}. In order to keep the volume fraction occupied by the stably stratified layers constant, we kept the aspect ratio constant (ε = 0.5) while changing the value of m. We note that changing the number of steps while keeping the length scale over which the forcing term varies (the size of the box), means changing the relative scale between the size of the steps and the forcing. The top panel corresponds to periodic boundary conditions while the bottom panel corresponds to rigid ones. In both panels, the viscous dissipation rate in a fully convective medium is displayed as the light blue dotted line.
The resonances with shortwavelength inertial waves (in the convective layers), and with subinertial gravitoinertial waves (in the stably stratified interfaces), both become weaker and less numerous as we increase the number of steps (see Fig. 8). This is partly because the forcing that we have adopted varies on the box scale, so it will most efficiently excite waves that vary on this length scale, and it will excite the shorterwavelength waves much less efficiently. It is also partly due to the increasing damping efficiency of viscosity and thermal diffusion for these shortwavelength waves.
Let us now compare the differences between boundary conditions, i.e. between the two panels of Fig. 8. First, we find the same differences in the subinertial range as mentioned in the paragraph above. In the gravitoinertial frequency range, the strengthand number of the resonant peaks that are observed is qualitatively similar. However, in the frequency range of gravity modes, the following major differences arise. In the case with periodic boundary conditions (top panel of Fig. 8), the forcing only excites one global mode of the staircase, that is on the box scale. Thus, only one resonant peak corresponds to a resonance with a free gravity mode of the staircase. We note that the corresponding frequency is shifted to lower frequencies when the number of steps is increased because the size of the convective steps, d, then gets smaller (see discussion above). On the other hand, in the case of rigid boundary conditions (bottom panel of Fig. 8) the forcing excites exactly m resonances that correspond to the m free modes of the staircase described in Sect. 3.2.3. Understanding why these m resonances do not appear separately when adopting vertically periodic boundary conditions requires further investigation, but we think this isunlikely to be the case in a more realistic calculation.
Fig. 8 Dissipation spectra obtained with ε = 0.5 for different numbers of steps m = 1 (solid blue line), 2 (green dashed line), and 5 (red dashed dotted) and E = K = 10^{−5}, using vertically periodic boundary conditions (top) and vertically rigid boundary conditions (bottom). For comparison, the dotted light blue line corresponds to the case of a fully convective medium. 

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Fig. 9 Frequencyaveraged dissipation rates as a function of the aspect ratio (left), of the number of steps (middle), and of the ratio (right), using vertically periodic boundary conditions. These results were obtained for one stably stratified interface and E = K = 10^{−5}. In each panel the orange filled circles correspond to the total dissipation rate, while its viscous and thermal contributions are represented by the empty red triangles and blue squares, respectively. On the yaxis, the frequencyaveraged dissipation rates in the layered case, , is normalised by the frequencyaveraged dissipation rate of the fully convective case, , which is indicated by the horizontal blue dashed line. We adopted a forcing amplitude that is proportional to ω for these calculations. 

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Fig. 10 Same as Fig. 9, but using vertically rigid boundary conditions. 

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3.3 Exploration of frequencyaveraged dissipation rates in parameter space
We have so far explored the response of a layered density structure to an imposed forcing, and we have given a physical interpretation for each of the corresponding resonances with enhanced dissipation. Now we explore how the resulting dissipation in a region of layered semiconvection compares with that in a fully convective medium. In this section, we thus compute frequencyaveraged dissipation rates with a forcing amplitude that is proportional to the tidal frequency ω. This is a more realistic model for the excitation of tidal waves because the amplitude of the forcing term, which drives tidal waves, contains two terms that scale as2Ω ω and ω^{2} (see e.g. Ogilvie 2005, 2014, and discussion in Sect. 2.4.3). We choose here to keep the one that is dominant in the regime of low tidal frequencies. We keep in mind that the term in ω^{2} enhances the contribution of resonances that are excited at higher frequencies, namely resonances with shortwavelength gravitoinertial modes, and gravitylike modes (which are excited at frequencies ω > 2Ω, see Sect. 3.2). These are specific to the layered case. We note that we have explored calculations for which the forcing scales as ω^{2} using a cutoff frequency to cut the nonresonant part of the spectra. These gave the same qualitative trends as for an ω forcing described below.
In order to unravel the influence of the layered structure alone, we successively focus on three quantities that parametrise the layered structure: . We then compute frequencyaveraged dissipation rates according to Eq. (22), and quantify how a density staircase modifies the dissipation over a fully convective medium.
3.3.1 Dependence on the aspect ratio
First, we focus on a structure containing one stably stratified interface, and we vary its size. We do this by varying the aspect ratio ε, defined by Eq. (33). It is unclear what the aspect ratio should be in planetary interiors, though it is likely to be very low. We note that Leconte & Chabrier (2012) found that the condition ε < 1 was necessary in order for the layered structure to be stable. Here, we explore values ranging from 0.1 to 1. As we decrease ε, the amplitude of the buoyancy bump (N_{0}) must increase according to Eq. (35) in order to keep the mean buoyancy frequency constant over the domain.
The corresponding frequencyaveraged quantities can be seen in the left panel of Fig. 9 for periodic boundary conditions, and of Fig. 10 for rigid boundary conditions. The results of these calculations (represented by orange filled circles for the total dissipation, and blue squares and red triangles for the viscous and thermal dissipation rates) have been normalised by the frequencyaveraged dissipation rate of the fully convective case, which is also indicated by the horizontal blue dashed lines.
The qualitative behaviour obtained with the two sets of boundary conditions is very similar and is as follows. Thefrequencyaveraged viscous (blue triangles) and thermal (red squares) dissipation rates do not show a clear monotonic trend. The total frequencyaveraged dissipation is approximately constant for ε < 0.6, and is apparently independent of ε in the astrophysically relevant case in which ε → 0, but it exhibits oscillatory behaviour (with a tendency for higher dissipation) for higher aspect ratios. When comparing the layered case to the fully convective case, our main conclusion is that the frequencyaveraged dissipation is higher, including layered semiconvection, for all aspect ratios considered here. This occurs because a layered structure permits more resonances than a fully convective medium, and these contribute to increasing the resulting dissipation. In particular, the additional resonances with shortwavelength gravitoinertial, and free gravity modes (which are specific to the layered structure), contribute to the frequencyaveraged dissipation to a greater extent than the modes in the subinertial range, and the latter are those which are preferably excited in a fully convective medium.
Finally, we intuitively expect that the viscous and thermal dissipation rates in the layered case may be higher when ν and κ are decreased to values that are more relevant to planetary interiors, since more modes are then available to be resonantly excited. However, we would expect the shortest wavelength modes to be excited less efficiently, so the dominant contribution to the dissipation is probably from the global modes that are excited even as ν and κ are decreased.
3.3.2 Dependence on the number of steps m
We now vary the number of stably stratified layers in the domain, m. We recall that this also has the effect of changing the ratio between the characteristic scale of the forcing and the sizeof the steps. It is unclear what number of steps could exist in an extended region of layered semiconvection in deep planetary interiors. Leconte & Chabrier (2012) estimate that it could lie anywhere in a range 10^{2} ≲ m ≲ 10^{9}, but ab initio modelling of layered semiconvection in the context of planetary evolution models is very challenging (e.g. Vazan et al. 2016, 2018). Here we explore values from 1 to 5 because calculations with much larger m are computationally very demanding. As we increase m, we keep the aspect ratio constant, ε = 0.5. As a result, the relative size of the layers to the size of the domain decreases in order to keep the mean stratification constant and equal to 10 × (2Ω).
The corresponding frequencyaveraged quantities can be seen in the middle panels of Fig. 9 for periodic boundary conditions, and Fig. 10 for rigid boundary conditions. The results of these calculations (orange filled circles) have been normalised by the frequencyaveraged dissipation rate of the fully convective case, which is also indicated (blue dashed horizontal lines). Our main conclusion is that a region of layered semiconvection is more dissipative (in the frequencyaveraged sense) than a fully convective medium for the range of m that we have considered here.
3.3.3 Dependence on the ratio /2Ω
Finally, we focus on the influence of the parameter , which characterises the relative strength of the buoyancy force to the Coriolis force. What value this parameter could take in the deep interiors of giant planets is unknown. Here we vary it from 10^{−2} (weakly stratified and/or fast rotator) to 10^{2} (strongly stratified and/or slow rotator) by varying the mean buoyancy frequency , and thus the amplitude N_{0}, through the relation given by Eq. (35). This is done for one stably stratified interface with an aspect ratio ε = 0.2 and diffusivity coefficients chosen such that E = K = 10^{−5}.
The corresponding frequencyaveraged quantities can be seen in the right panel of Fig. 9 for periodic boundary conditions, and of Fig. 10 for rigid boundary conditions. The results of these calculations (orange filled circles) have been normalised by the frequencyaveraged dissipation rate of the fully convective case, which is also indicated (blue dashed horizontal lines).
The qualitative behaviour obtained with the two sets of boundary conditions is very similar and is as follows. Both viscous and thermal frequencyaveraged dissipation rates show a clear increase when . This can be explained by noting that when increases (and thus N_{0} increases, as we can see from Eq. (35)), the resonances with shortwavelength gravitoinertial waves and free gravity modes of the staircase get stronger.
We recall that the free gravity mode given by Eq. (50) is such that ω is proportional to (by some factor depending on wave number and the size of the steps). Thus, the corresponding resonant peak, which is potentially the main contribution to the dissipation (see discussion in Sect. 4.1), moves to higher frequency linearly with . If is less than 1, this resonant peak falls into the subinertial frequency range, and the associated dissipation is weak compared to the ones associated with the resonances with shortwavelength inertial modes. In this case, considering the medium as fully convective becomes a good approximation to quantify the dissipation. In a giant planet, we expect that this could be the case if the equilibrium layered structure has very large convective steps (of the order of a scale height) and/or if the planet is rotating very rapidly. In this sense, the parameter is the control parameter that determines the relative importance of the effects of the layered structure compared to a fully convective medium, with a layered structure being more dissipative when this ratio is higher than one.
4 Conclusions, discussion, and future work
A region of layered semiconvection consists of density staircases, in which convective layers are separated by thin stably stratified interfaces. We have presented exploratory linear calculations to study how layered semiconvection, which is potentially present in giant planet interiors, affects the rates of tidal dissipation. We adopted a local Cartesian model to study the dissipation of shortwavelength internal (gravitoinertial) waves excited in a region of layered semiconvection by a gravitational tidallike forcing. We have computed the response of such a density structure, and we have provided a physical interpretation for each of the associated resonances with enhanced dissipation. We also computed frequencyaveraged dissipation rates to determine how dissipative asemiconvective medium compares to a fully convective medium as the various parameters of our model are varied. Our calculations were undertaken with two different and complementary sets of boundary conditions: vertically periodic, relevant to study a portion of a vertically extended region of layered semiconvection, and vertically rigid (and stressfree), equivalent to a planeparallel model of a region filled with layered semiconvection. This was done assuming horizontal periodicity in each case, and the results lead to modifications of resulting global modes.
Our primary intended application was to understand tidal dissipation in giant planets and the consequent evolution of their natural satellite systems, though our results could also be relevant for tides in shortperiod extrasolar planets interacting with their host stars. Our main conclusions are the following:

A regionof layered semiconvection possesses a richer set of free modes than a fully convective medium, which is the model that is usually adopted for giant planet deep interiors. As a result, more resonances can potentially be excited compared to a convective medium. This makes it more likely for a satellite or host star to enter a resonance with enhanced tidal dissipation, potentially by several orders of magnitude.

These resonances are more broadly distributed over the frequency spectrum compared to a fully convective medium. Shortwavelength inertial modes can be excited (like in a fully convective medium), but we have also identified shortwavelength gravitoinertial modes (localised within the stably stratified interfaces, though we expect these to be very thin in reality), and gravity modes (gmodes), influenced by the mean stratification, characterised by the mean buoyancy frequency . Thus, the frequency range in which we expect resonances to be excited is extended from − 2Ω ≲ ω ≲ 2Ω in a convective medium to in a medium with layered semiconvection.

Extrapolating the trends that we have observed, additional resonances are expected for lower diffusivities and thinner interfaces, potentially leading to an enhancement in the rates of tidal dissipation over an even wider frequency range in the astrophysical regime.
4.1 Consequences for tidal dissipation in giant planets
Our calculations within this local Cartesian model cannot be used to directly make quantitative predictions for the rates of tidal dissipation in giant planets because the forcing that we have adopted is highly idealised. Nevertheless, we have clearly identified some of the most important physical effects that may lead to higher dissipation in a region of layered semiconvection compared to a fully convective medium.
We have seen that the dissipation is higher for a wider range of frequencies in the layered case compared with a fully convective medium in our model. This corresponds with the excitation of particular global modes that are resonant with our adopted forcing. Adopting a realistic dependence for the forcing amplitude on the tidal frequency, we have seen that the frequencyaveraged dissipation rates exhibited a clear trend to higher dissipation in the layered case versus the fully convective case because the primary contribution to the averaged dissipation is due to the resonances with free gravity modes.
In reality, the scale over which the equilibrium tide (which acts as an effective forcing for tidal waves) varies should be much larger than the size of the box that we model, and it should be radially nodeless. For clarity (and numerical convenience), in this study we assumed the forcing to be periodic in the local radial direction, which has the effect of artificially enhancing the strength of this resonance with the boxscale inertial mode if the medium is fully convective, but only when periodic boundary conditions are assumed. This is indeed a drawback from our local analysis, since in the realistic tidal problem the forcing should vary on a large length scale compared to the size of the semiconvective layers. When considering the realistic tidal problem, a possibility is that the resonances with shortwavelength inertial and gravitoinertial modes (described in Sect. 3.2) could be significantly weakened because the coupling between the largescale tidal forcing and the smallscale oscillation modes could be decreased. However, we expect that the astrophysically relevant lower diffusivities would partly counteract this effect since less damping of the resonances would be expected. On the other hand, the resonances with the free gravity modes of the staircase (which have an internal gravity wavelike character with respect to the mean stratification) should remain robust and will probably be the most significant contribution to the dissipation in layered semiconvection regions.
In our model we also considered the effect of adopting rigid boundary conditions in the vertical direction, which may be a closer approximation to the global problem in which an extended envelope would be filled with layered semiconvection. We found that this had the effect of modifying the resonances with free gravitymodes of the staircase, which were then more numerous when additional layers were included. This was consistent with the work of Belyaev et al. (2015) and Paper I. Our other main conclusions were independent of the boundary conditions that we adopted in the vertical direction.
While this paper constitutes a necessary first step, in order to compute astrophysically and quantitatively meaningful tidal dissipation rates as a function of the structural parameters of the region of layered semiconvection, it is crucial to extend this study to spherical geometry. This will enable us to consider a more realistic situation where curvature effects are included and the tidal gravitational forcing can be included selfconsistently. Performing a calculation along these lines in spherical geometry will be the focusof a future paper.
In the near future, as we hope that our understanding of giant planet internal structures will continue to improve (thanks especially tothe Juno spacecraft), it is important to be able to include the most important structural details and their effects on the rates of tidal dissipation. We recall that, based on astrometric observations spanning more than a century, tidal dissipation in Jupiter and Saturn has been found to be much higher than previously thought (e.g. Lainey et al. 2017). These results have not yet been fully explained, motivating us to consider more sophisticated tidal models. However, we note that several mechanisms have already been proposed to explain high tidal dissipation rates in giant planets. Ogilvie & Lin (2004) have studied in detail the frequencydependence of the dissipation of tidal inertial waves by turbulent friction in convective envelopes (see also Auclair Desrotour et al. 2015; Mathis et al. 2016). Moreover, Remus et al. (2012, 2015) have studied the viscoelastic dissipation of a possible rocky/icy core in central regions of giant planets, for different rheologies and tidal frequencies. It has then been shown by Guenel et al. (2014) that these two potential sources of tidal dissipation could be of comparable strengths depending on the rheology of the core, while the viscous friction in a solid core was found to be compatible with the tidal dissipation rates and frequencydependence found by Lainey et al. (2017) in Saturn. In particular, these recent works point out very clearly the importance of being able to carefully take into account each type of dissipation mechanism. To do so, it is in turn crucial to rely on realistic models of giant planet interiors. Finally, Fuller et al. (2016) have studied the possibility that some moons of Jupiter or Saturn could migrate outwards while being locked in a resonance (for which the dissipation is very efficient) with a tidal gravitoinertial mode of the central giant planet, leading to fast outward migration.
This paper thus represents a first step towards understanding how layered semiconvection, which is potentially present in giant planets, affects the rates of tidal dissipation. We tentatively conclude that layered semiconvection, if present in giant planets, could play an important role in enhancing the rates of tidal dissipation in giant planets, alongside the mechanisms that have been described in the previous paragraph. These may be key to explaining the high tidal dissipation rates observed by Lainey et al. (2009, 2012, 2017) and Polycarpe et al. (2018) in Jupiter and Saturn, and could be important in the evolution of shortperiod extrasolar planetary systems.
4.2 Link between transmission and dissipation
In Paper I, we showed that shortwavelength internal (and inertial) waves are only efficiently transmitted across a region of layered semiconvection if they are resonant with a free mode of the staircase. Here, we showed that free modes of the staircase can be excited by a gravitational tidallike forcing, leading to enhanced dissipation. It is also interesting to note that a region of layered semiconvection lying below a convective region could act as a rigid wall for waves that do not excite one of the free modes. Those waves would then only dissipate their energy in the overlying convective region. However, we expect tidal waves that excite a free mode of the staircase to be efficiently transmitted, and thus to be able to reach the deepest layers of the fluid envelope where they may be dissipated and could heat the deep interior.
4.3 Prospects and future work
Further work is required to explore and confirm the influence of layered semiconvection on tidal dissipation in global models. Other mechanisms should also be taken into account, such as differential rotation (Baruteau & Rieutord 2013; Guenel et al. 2016a,b), magnetic fields (Barker & Lithwick 2014; Wei 2016, 2018), and the impact of rotation on the semiconvective background structure (Moll & Garaud 2017).
In the context of the ongoing Juno mission, these two physical ingredients have recently been shown to be of significant importance in Jupiter. New constraints obtained on Jupiter’s zonal flows indeed suggest that differential rotation is significant in a shell extending down to 3000 km in radius. The deeper interior is expected to rotate as a solid body due to the action of magnetic stresses associated with an increase of the electric conductivity of the gas at this location (Guillot et al. 2018). In the near future, the Juno mission should provide additional constraints on the internal structure of Jupiter, and its magnetic field (Connerney et al. 2018). These could hopefully be extrapolated to further constrain other giant planets (including hot Jupiters) and brown dwarfs. Including additional physical effects, motivated by these observational constraints, is currently the best way to build more realistic tidal models of systems involving such bodies.
Acknowledgements
The authors thank the referee for a constructive report that allowed us to improve the clarity and completeness of this paper. Q.A. thanks Kyle Augustson for useful discussions. Q.A. and S.M. acknowledge funding by the European Research Council through ERC SPIRE grant 647383, the support of ISSI to the international team Encelade 2.0, and the PLATO CNES grant at CEASaclay. A.J.B. was supported by the Leverhulme Trust through the award of an Early Career Fellowship and by STFC Grant ST/R00059X/1.
Appendix A Derivation of the forced Poincaré equation
The linearised system we consider when we adopt the Boussinesq approximation is given by Eqs. (5)–(10). The aim of this appendix is to derive the forced Poincaré equation.
First, taking the combination ∂_{y}(Eq. (7)) − ∂_{z}(Eq. (6)) gives (A.1)
where , and . Then, taking the combination ∂_{z}(Eq. (5)) − ∂_{x}(Eq. (7)) and using Eq. (9) gives (A.2)
where .
Then, taking the combination ∂_{x}(Eq. (6)) − ∂_{y}(Eq. (5)) and using Eq. (9) gives (A.3)
where .
Then, by taking the combination D_{κ} D_{ν}(∂_{y} (Eq. (A.1)) − ∂_{x} (Eq. (A.2))) and using Eqs. (9), (10), and (A.3), we finally obtain an equation for the vertical component of the velocity w, (A.4)
where , D_{α} = ∂_{t} − α∇^{2}, and (A.5)
References
 André, Q., Barker, A. J., & Mathis, S. 2017, A&A, 605, A117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Auclair Desrotour, P., Mathis, S., & Le PoncinLafitte, C. 2015, A&A, 581, A118 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Barker, A. J., & Lithwick, Y. 2014, MNRAS, 437, 305 [NASA ADS] [CrossRef] [Google Scholar]
 Baruteau, C., & Rieutord, M. 2013, J. Fluid Mech., 719, 47 [NASA ADS] [CrossRef] [Google Scholar]
 Belyaev, M. A., Quataert, E., & Fuller, J. 2015, MNRAS, 452, 2700 [NASA ADS] [CrossRef] [Google Scholar]
 Bolmont, E., & Mathis, S. 2016, Celest. Mech. Dyn. Astron., 126, 275 [NASA ADS] [CrossRef] [Google Scholar]
 Bolmont, E., Gallet, F., Mathis, S., et al. 2017, A&A, 604, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Bolton, S. J., Adriani, A., Adumitroaie, V., et al. 2017, Science, 356, 821 [NASA ADS] [CrossRef] [Google Scholar]
 Boyd, J. 2001, Chebyshev and Fourier Spectral Methods: Second Revised Edition (New York: Dover Publications) [Google Scholar]
 Chabrier, G., & Baraffe, I. 2007, ApJ, 661, L81 [NASA ADS] [CrossRef] [Google Scholar]
 Connerney, J. E. P., Kotsiaros, S., Oliversen, R. J., et al. 2018, Geophys. Res. Lett., 45, 2590 [NASA ADS] [CrossRef] [Google Scholar]
 Damiani, C., & Mathis, S. 2018, A&A, 618, A90 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Favier, B., Barker, A. J., Baruteau, C., & Ogilvie, G. I. 2014, MNRAS, 439, 845 [NASA ADS] [CrossRef] [Google Scholar]
 Fuller, J. 2014, Icarus, 242, 283 [NASA ADS] [CrossRef] [Google Scholar]
 Fuller, J., Luan, J., & Quataert, E. 2016, MNRAS, 458, 3867 [NASA ADS] [CrossRef] [Google Scholar]
 Gallet, F., Bolmont, E., Mathis, S., Charbonnel, C., & Amard, L. 2017, A&A, 604, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Garaud, P. 2018, Ann. Rev. Fluid Mech., 50, 275 [NASA ADS] [CrossRef] [Google Scholar]
 Gaulme, P., Schmider, F.X., Gay, J., Guillot, T., & Jacob, C. 2011, A&A, 531, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Gerkema, T., & Shrira, V. I. 2005, J. Fluid Mech., 529, 195 [NASA ADS] [CrossRef] [Google Scholar]
 Ghaemsaidi, S. J., Dosser, H. V., Rainville, L., & Peacock, T. 2016, J. Fluid Mech., 789, 617 [NASA ADS] [CrossRef] [Google Scholar]
 Goldreich, P., & Keeley, D. A. 1977, ApJ, 211, 934 [NASA ADS] [CrossRef] [Google Scholar]
 Guenel, M., Mathis, S., & Remus, F. 2014, A&A, 566, L9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Guenel, M., Baruteau, C., Mathis, S., & Rieutord, M. 2016a, A&A, 589, A22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Guenel, M., Mathis, S., Baruteau, C., & Rieutord, M. 2016b, ArXiv eprints [arXiv:1612.05071] [Google Scholar]
 Guillot, T., Stevenson, D. J., Hubbard, W. B., & Saumon, D. 2004, The Interior of Jupiter, eds. F. Bagenal, T. E. Dowling, & W. B. McKinnon (Cambridge: Cambridge University Press), 35 [Google Scholar]
 Guillot, T., Miguel, Y., Militzer, B., et al. 2018, Nature, 555, 227 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Jouve, L., & Ogilvie, G. I. 2014, J. Fluid Mech., 745, 223 [NASA ADS] [CrossRef] [Google Scholar]
 Kaspi, Y., Galanti, E., Hubbard, W. B., et al. 2018, Nature, 555, 223 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Lainey, V., Arlot, J.E., Karatekin, Ö., & van Hoolst, T. 2009, Nature, 459, 957 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Lainey, V., Karatekin, Ö., Desmars, J., et al. 2012, ApJ, 752, 14 [NASA ADS] [CrossRef] [Google Scholar]
 Lainey, V., Jacobson, R. A., Tajeddine, R., et al. 2017, Icarus, 281, 286 [NASA ADS] [CrossRef] [Google Scholar]
 Leconte, J., & Chabrier, G. 2012, A&A, 540, A20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Leconte, J., & Chabrier, G. 2013, Nat. Geosci., 6, 347 [NASA ADS] [CrossRef] [Google Scholar]
 Mathis, S. 2015, A&A, 580, L3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Mathis, S. 2017, Handbook of Exoplanets (Switzerland: Springer International Publishing), 42 [Google Scholar]
 Mathis, S., & Le PoncinLafitte, C. 2009, A&A, 497, 889 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Mathis, S., & Remus, F. 2013, Lect. Notes Phys., eds. J.P. Rozelot & C. Neiner (Berlin: Springer Verlag), 857, 111 [NASA ADS] [CrossRef] [Google Scholar]
 Mathis, S., Neiner, C., & Tran Minh, N. 2014, A&A, 565, A47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Mathis, S., AuclairDesrotour, P., Guenel, M., Gallet, F., & Le PoncinLafitte, C. 2016, A&A, 592, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Mazevet, S., Tsuchiya, T., Taniuchi, T., BenuzziMounaix, A., & Guyot, F. 2015, Phys. Rev. B, 92, 014105 [NASA ADS] [CrossRef] [Google Scholar]
 Miguel, Y., Guillot, T., & Fayon, L. 2016, A&A, 596, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Moll, R., & Garaud, P. 2017, ApJ, 834, 44 [NASA ADS] [CrossRef] [Google Scholar]
 Nettelmann, N., Fortney, J. J., Moore, K., & Mankovich, C. 2015, MNRAS, 447, 3422 [NASA ADS] [CrossRef] [Google Scholar]
 Ogilvie, G. I. 2005, J. Fluid Mech., 543, 19 [NASA ADS] [CrossRef] [Google Scholar]
 Ogilvie, G. I. 2013, MNRAS, 429, 613 [NASA ADS] [CrossRef] [Google Scholar]
 Ogilvie, G. I. 2014, ARA&A, 52, 171 [NASA ADS] [CrossRef] [Google Scholar]
 Ogilvie, G. I., & Lesur, G. 2012, MNRAS, 422, 1975 [NASA ADS] [CrossRef] [Google Scholar]
 Ogilvie, G. I., & Lin, D. N. C. 2004, ApJ, 610, 477 [NASA ADS] [CrossRef] [Google Scholar]
 Polycarpe, W., Saillenfest, M., Lainey, V., et al. 2018, A&A, 619, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Remus, F., Mathis, S., & Zahn, J.P. 2012, A&A, 544, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Remus, F., Mathis, S., Zahn, J.P., & Lainey, V. 2015, A&A, 573, A23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Stevenson, D. J. 1982, Ann. Rev. Earth Planet. Sci., 10, 257 [NASA ADS] [CrossRef] [Google Scholar]
 Stevenson, D. J. 1985, Icarus, 62, 4 [NASA ADS] [CrossRef] [Google Scholar]
 Stevenson, D. J., & Salpeter, E. E. 1977, ApJS, 35, 239 [NASA ADS] [CrossRef] [Google Scholar]
 Sutherland, B. R. 2016, Phys. Rev. Fluids, 1, 013701 [NASA ADS] [CrossRef] [Google Scholar]
 Vazan, A., Helled, R., Podolak, M., & Kovetz, A. 2016, ApJ, 829, 118 [NASA ADS] [CrossRef] [Google Scholar]
 Vazan, A., Helled, R., & Guillot, T. 2018, A&A, 610, L14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Wahl, S. M., Hubbard, W. B., Militzer, B., et al. 2017, Geophys. Res. Lett., 44, 4649 [NASA ADS] [CrossRef] [Google Scholar]
 Wei, X. 2016, ApJ, 828, 30 [NASA ADS] [CrossRef] [Google Scholar]
 Wei, X. 2018, ApJ, 854, 34 [NASA ADS] [CrossRef] [Google Scholar]
 Wüest, A., Sommer, T., Schmid, M., & Carpenter, J. R. 2012, Environ. Fluid Mech., 271, 06923 [Google Scholar]
 Wood, T. S., Garaud, P., & Stellmach, S. 2013, ApJ, 768, 157 [NASA ADS] [CrossRef] [Google Scholar]
 Zahn, J.P. 1966, Ann. Astrophys., 29, 313 [NASA ADS] [Google Scholar]
 Zahn, J.P. 1975, A&A, 41, 329 [NASA ADS] [Google Scholar]
 Zahn, J.P. 1977, A&A, 500, 121 [NASA ADS] [Google Scholar]
 Zahn, J.P. 1989, A&A, 220, 112 [NASA ADS] [Google Scholar]
All Figures
Fig. 1 Left panel: global view of a giant planet: the gaseous envelope (in yellow, the shading denoting density), lies on top of the core (in red). Right panel: magnified picture of the local Cartesian box, centred on a point M of a giant planet envelope, corresponding to a colatitude Θ. The box is tilted with respect to the spin axis, and its vertical axis z, corresponding to the local radial direction, is thus antialigned with gravity. The x and yaxes correspond to the local azimuthal and latitudinal directions, respectively, while the χaxis makes an angle α with respect to the xaxis. 

Open with DEXTER  
In the text 
Fig. 2 Buoyancy frequency N(z) for an example with 3 steps. Convective layers of size d, within whichN(z) = 0, are separated by stably stratified interfaces of size l, within whichN(z) > 0, given by Eq. (31). The amplitude of the peaks, N_{0}, is calculated so that the mean stratification equals . Here, . 

Open with DEXTER  
In the text 
Fig. 3 Viscous (in blue) and thermal (in red) dissipation spectra in a uniformly stably stratified medium with throughout the domain in the case of periodic (left) and rigid (right) boundary conditions. Left panel: resonant peak centred on the single gravitoinertial mode that is resonant with the forcing, with frequency given by Eq. (40). Right panel: rigid boundary conditions do not perfectly excite only a single global mode, they instead excite many modes that match the roots of the dispersion relation of gravitoinertial waves when k_{z} = nπ, for n = {1, …20}. 

Open with DEXTER  
In the text 
Fig. 4 Top panel: dissipation spectrum in our reference case with periodic boundary conditions and one step (solidblue line), also displaying the eigenfrequencies (red crosses) of the free Poincaré equation for which the magnitude of the imaginary part is represented as a function of their real part. Bottom panel: zdependence of the vertical velocity, Ŵ(z), of a shortwavelength inertial eigenmode corresponding to ω∕2Ω ~ 0.258, the leftmost resonance (left panel); of a shortwavelength gravitoinertial eigenmode corresponding to ω∕2Ω ~ 2.31 (middle panel); and of the gravity eigenmode of the staircase, corresponding to ω∕2Ω ~ 16.1, the rightmost resonance (right panel). For each panel, the solid blue line represents the real part of Ŵ (z), while the dashed orange line represents its imaginary part. 

Open with DEXTER  
In the text 
Fig. 5 Dissipation spectra with periodic boundary conditions for a single interface with three different diffusivities (Ekman numbers), E = K = 10^{−3} (top), 10^{−4} (middle), and 10^{−5} (bottom), and an aspect ratio ε = 0.2. The total dissipation is represented by the solid orange line, and its viscous and thermal contributions are represented by the dotted blue and red lines, respectively. The dashed light blue line represents the spatially averaged dissipation for a fully convective medium, . For each panel, the quantity represented is , where as a functionof the normalised frequency ω∕2Ω. In the bottom panel the vertical dashdotted lines indicate the position of characteristic frequencies discussed in Sect. 3.2 (from left to right): resonance with shortwavelength inertial modes (in grey), resonances with shortwavelength superinertial gravitoinertial modes (in green), and resonance with a free gravity mode of the staircase (in light red). 

Open with DEXTER  
In the text 
Fig. 6 Sameas the bottom panel of Fig. 5, but using rigid boundary conditions in the case with m = 5 and ε = 0.5. Vertical grey dashed dotted lines indicate the five eigenfrequencies calculated from Eq. (50). The vertical dotted lined at ω = 2Ω indicates the upper limit of the subinertial frequency range. 

Open with DEXTER  
In the text 
Fig. 7 Dissipation spectra obtained with m = 1 step for the different aspect ratios ε = 0.04 (solid blue line), 0.34 (green dashed line), and 1.00 (red dashdotted line) and E = K = 10^{−5}, using vertically periodic boundary conditions (top) and vertically rigid boundary conditions (bottom). For comparison, the dotted light blue line corresponds to the case of a fully convective medium. 

Open with DEXTER  
In the text 
Fig. 8 Dissipation spectra obtained with ε = 0.5 for different numbers of steps m = 1 (solid blue line), 2 (green dashed line), and 5 (red dashed dotted) and E = K = 10^{−5}, using vertically periodic boundary conditions (top) and vertically rigid boundary conditions (bottom). For comparison, the dotted light blue line corresponds to the case of a fully convective medium. 

Open with DEXTER  
In the text 
Fig. 9 Frequencyaveraged dissipation rates as a function of the aspect ratio (left), of the number of steps (middle), and of the ratio (right), using vertically periodic boundary conditions. These results were obtained for one stably stratified interface and E = K = 10^{−5}. In each panel the orange filled circles correspond to the total dissipation rate, while its viscous and thermal contributions are represented by the empty red triangles and blue squares, respectively. On the yaxis, the frequencyaveraged dissipation rates in the layered case, , is normalised by the frequencyaveraged dissipation rate of the fully convective case, , which is indicated by the horizontal blue dashed line. We adopted a forcing amplitude that is proportional to ω for these calculations. 

Open with DEXTER  
In the text 
Fig. 10 Same as Fig. 9, but using vertically rigid boundary conditions. 

Open with DEXTER  
In the text 
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