1. Introduction
Internal gravity waves generated by astronomical tides play pivotal roles in oceanic environments and the global climate system. These waves account for the majority of turbulent energy dissipation below the pycnocline, promoting vertical mixing of seawater – a process that significantly influences the distributions of heat, greenhouse gases and nutrients, as well as the ocean’s meridional overturning circulation (MacKinnon et al. Reference MacKinnon2017; Whalen et al. Reference Whalen, De Lavergne, Naveira Garabato, Klymak, Mackinnon and Sheen2020). Additionally, the momentum transfer associated with internal wave propagation is a crucial factor in shaping the slowly varying part of ocean currents (Shakespeare & Hogg Reference Shakespeare and Hogg2019). Modelling the mixing and drag forces induced by internal waves has long been recognised as a key task in various areas of geosciences (Staquet & Sommeria Reference Staquet and Sommeria2002). Effectively parametrising these effects in general circulation models remains a major challenge in modern physical oceanography (Fox-Kemper et al. Reference Fox-Kemper2019).
For the generation of internal waves by the tidal forcing, the interaction between fluid motion and seafloor topography is essential. Planetary-scale variations in a tidal potential first induce a vertically homogeneous oscillatory horizontal motion of seawater, known as the barotropic tide. When this tide passes over sloping topography, it lifts the water masses, disturbing isopycnal surfaces to generate internal waves. These waves can have horizontal wavelengths exceeding 100 km, as observed by satellite altimeters (Zhao et al. Reference Zhao, Alford, Girton, Rainville and Simmons2016; Zhao Reference Zhao2018). Modern numerical ocean models are capable of simulating the generation and propagation of large-scale internal waves with horizontal scales of approximately greater than 10 km (Niwa & Hibiya Reference Niwa and Hibiya2014). However, due to limitations in model resolution and uncertainty in wave decay processes (Onuki & Hibiya Reference Onuki and Hibiya2018; Olbers, Pollmann & Eden Reference Olbers, Pollmann and Eden2020) on which the simulation result depends, analytical expressions are often used to estimate the energy generation rates of tidally forced internal waves in recent parametrisations (de Lavergne et al. Reference de Lavergne, Falahat, Madec, Roquet, Nycander and Vic2019, Reference de Lavergne, Vic, Madec, Roquet, Waterhouse, Whalen, Cuypers, Bouruet-Aubertot, Ferron and Hibiya2020). Therefore, precise theoretical formulations of internal wave generation under the forcing of barotropic tides are fundamental to developing a reliable parametrisation.
Historically, numerous studies have analytically addressed the tidal generation of internal waves. A recent paper by Papoutsellis, Mercier & Grisouard (Reference Papoutsellis, Mercier and Grisouard2023), as well as a comprehensive review by Garrett & Kunze (Reference Garrett and Kunze2007), provides a useful overview of the literature and the relationships between various theoretical approaches. Most studies have examined internal wave generation in a static reference state. Under this framework, small-amplitude internal waves of a fixed frequency can be uniquely decomposed into discrete standing modes – a set of exact solutions for a linearised system over flat bottom topography derived by solving a Sturm–Liouville eigenvalue problem. This decomposition underpins key theoretical approaches such as the Green’s function method (Llewellyn Smith & Young Reference Llewellyn Smith and Young2003) and the coupled-mode system (Papoutsellis et al. Reference Papoutsellis, Mercier and Grisouard2023), which address finite-height topography with small tidal excursions, and the formulation by Khatiwala (Reference Khatiwala2003), who considered small topography with finite tidal excursions. This strategy is effective even when incorporating steady barotropic flow (Dossmann et al. Reference Dossmann, Shakespeare, Stewart and Hogg2020).
The situation changes dramatically when a vertically sheared steady flow is introduced into the reference state. In the absence of planetary rotation, the vertical structure of a sheared internal gravity wave, for a prescribed horizontal wavenumber and frequency, is governed by the Taylor–Goldstein equation. This equation admits not only regular eigenmodes, but also singular solutions associated with critical levels, i.e. levels where the horizontal phase speed matches the background flow. As a result, the usual modal decomposition must be augmented; in addition to the discrete spectrum of regular modes, one must account for a continuous spectrum parametrised by the critical-level location.
Continuous spectra and critical-layer singularities are a generic feature of wave–mean interaction in a wide range of geophysical and plasma settings. Here ‘mean’ denotes a slowly varying background, such as a sheared mean flow in geophysical fluids and an inhomogeneous mean magnetic field in magnetohydrodynamics. For a sheared stratified flow, Booker & Bretherton (Reference Booker and Bretherton1967), Engevik (Reference Engevik1971) and Brown & Stewartson (Reference Brown and Stewartson1980) made fundamental contributions to the theoretical understanding of critical-layer processes, as reviewed in relatively recent papers by Roy & Subramanian (Reference Roy and Subramanian2014) and Jose et al. (Reference Jose, Roy, Bale and Govindarajan2015). Critical layer absorption of internal gravity waves is thought to be the primary driving source of the quasi-biennial oscillation in the stratosphere (Dunkerton Reference Dunkerton1997). Critical layers also play key roles in the dissipation of atmospheric Rossby waves (Dickinson Reference Dickinson1970; Warn & Warn Reference Warn and Warn1976; Killworth & McIntyre Reference Killworth and McIntyre1985), and in magnetohydrodynamics phenomena taking place in the outermost layer of the Earth’s core or the solar tachocline (Nakashima & Yoshida Reference Nakashima and Yoshida2024). These studies highlight that singular solutions form essential parts in wave dynamics in various geophysical and astrophysical systems. By contrast, in the internal-tide literature, the continuous-spectrum contribution has received comparatively little attention, despite the ubiquity of shear in realistic ocean currents. Although several past studies (Hibiya & LeBlond Reference Hibiya and LeBlond1993; Lamb & Dunphy Reference Lamb and Dunphy2018; Masunaga, Uchiyama & Yamazaki Reference Masunaga, Uchiyama and Yamazaki2019) considered periodic tidal forcing in a continuously sheared steady flow (strictly speaking, Hibiya & LeBlond (Reference Hibiya and LeBlond1993) considered a modulation of the velocity field induced by a spring-neap cycle of tidal mixing intensity, which should be distinguished from the tide-generated internal waves. However, their mathematical treatment falls in the same category), they focused on the discrete-mode response and did not quantify the contributions of the continuous spectrum to the generated wave field.
In addition to the spectral properties, velocity shear also complicates the energetics of the wave–mean-flow system. In a resting ocean, the barotropic-to-baroclinic conversion rate can be directly related to the radiated internal-wave energy flux (Pétrélis, Llewellyn Smith & Young Reference Pétrélis, Llewellyn Smith and Young2006). In the presence of vertical shear, however, internal waves exchange energy and momentum with the mean flow during propagation, so the wave energy alone does not form a closed budget. This motivates a reformulation of the disturbance energy equation that consistently accounts for mean-flow energy changes.
The purpose of the present study is to clarify the roles of background shear in tidally forced internal waves, with an eye towards mixing and wave-drag parametrisations. We focus on temporally periodic but spatially localised forcing by small-amplitude bottom topography, and analytically elucidate the resulting wave structure based on a spectral decomposition of the response into discrete and continuous constituents. We then formulate the net barotropic-to-baroclinic energy conversion rates separately for the discrete and continuous spectral components.
In this setting, the configuration considered closely matches the numerical simulations reported by Lamb & Dunphy (Reference Lamb and Dunphy2018). For clarity of interpretation and to enable direct comparison with this earlier work, we neglect the Coriolis effect. This simplification eliminates the additional singular behaviour that arises when the Doppler-shifted frequency approaches the Coriolis frequency (Jones Reference Jones1967; Xie & Vanneste Reference Xie and Vanneste2017), thereby making a fully analytical treatment tractable. In passing, recent works by Le Dizes et al. (Reference Le Dizes, Grisouard, Thual and Mercier2025) and Maitland-Davies & Bühler (Reference Maitland-Davies and Bühler2025) have developed advanced numerical approaches to topographic internal-wave generation in shear flows including rotation; our analysis without rotation can therefore be viewed as a complementary step towards such more realistic configurations.
To formulate energy conversion rates while making the wave–mean-flow interaction explicit, we use standard wave-activity diagnostics – pseudomomentum and its associated pseudoenergy – which relate the induced mean-flow response to quadratic forms of the leading-order wave fields. These quantities arise naturally from the symmetry properties of the governing equations and provide conserved measures in the absence of forcing and dissipation (e.g. Shepherd Reference Shepherd1990; Bühler Reference Bühler2014). They remain well defined even in the presence of rotation and therefore provide a natural starting point for extensions to more general oceanic conditions.
With this framework in place, we begin by deriving the leading-order linear system and boundary conditions in the small-topography regime, and by specifying the asymptotic expansion that underpins the remainder of the analysis (§ 2). We then recast the linear problem using horizontal Fourier and temporal Laplace transforms, so that the forced response is controlled by the resolvent of a wave operator (§ 3). This formulation makes the spectral content of the dynamics explicit: isolated singularities correspond to regular eigenmodes (discrete spectrum), while critical-level singular solutions generate branch-cut contributions that form a continuous spectrum. Identifying where a forcing frequency intersects these spectra provides a precise criterion for resonant behaviour and sets the stage for a systematic decomposition of the response.
Building on this spectral viewpoint, we solve the stationary boundary-value problem for each tidal harmonic and connect the Fourier-space solution to physical-space wave fields for localised forcing (§ 4). An asymptotic evaluation of the inverse Fourier integral yields a transparent far-field picture: discrete poles produce persistent standing-mode wave trains, whereas branch cuts associated with the continuous spectrum produce dispersive wave packets whose velocity amplitudes decay algebraically while their vertical gradients grow during propagation. Having established this structure, we turn to energetics and derive a closed expression for the net barotropic-to-baroclinic conversion rate in the presence of shear, using pseudomomentum and pseudoenergy to diagnose the induced mean-flow response and to partition the conversion into discrete- and continuous-spectrum contributions (§ 5). We conclude by discussing implications and limitations of the idealised setting, and outlining extensions towards more general oceanic configurations, including rotation (§§ 6 and 7).
2. Problem set-up: Boussinesq fluid with rigid bottom and upper boundaries
This section sets up the mathematical model used throughout the paper. We consider a two-dimensional inviscid, incompressible fluid under the Boussinesq approximation, in which a prescribed barotropic tidal flow is superimposed on a steady vertically sheared current over a corrugated bottom. Their interaction with a small-amplitude topography excites internal gravity waves that propagate through a stably stratified background with shear. In what follows, we derive the linear disturbance equations governing this wave response. The sole approximation invoked is the small-topography assumption, which enables a systematic asymptotic expansion and linearisation of the governing equations; in particular, we do not introduce any additional scale separation in space or time.
2.1. Governing equations
We start from the incompressible Euler equations under the Boussinesq approximation. The governing equations are
where
$\boldsymbol{u}(x,z,t) = (u, w)$
is the velocity vector,
$p(x,z,t)$
is the pressure,
$\rho (x,z,t)$
is the density,
$\rho ^\star$
is the reference density,
$g$
is the gravitational acceleration and
$\boldsymbol{e}_z$
is the upward unit vector. For the sake of conciseness, differentiation is also denoted as
$\partial u / \partial t = \partial _t u = u_t$
in the following. Fluid is bounded in the vertical direction by a flat top (
$z = H$
) and a corrugated bottom (
$z = h(x)$
) boundary, such that
are understood. Although the equation for the density (2.1b
) does not require boundary conditions in general, to simplify the problem, we shall assume that density is homogeneous along each boundary such that
$\rho = \rho _{min}$
at
$z = H$
and
$\rho = \rho _{max}$
at
$z = h(x)$
hold, where
$\rho _{min}$
and
$\rho _{max}$
are the minimum and maximum values of the density in the system, respectively. If this condition is initially fulfilled, it remains valid all the time.
We define the reference state as a combination of density stratification, vertically sheared horizontal flow and homogeneous oscillating tidal flow; i.e.
$\rho = \rho _0 (z)$
,
$u = u_0(z, t) \equiv U(z) - U_T \cos \omega _T t$
and
$w = 0$
. The stratification is statically stable and the buoyancy frequency is defined as
$N = \sqrt {(- g / \rho ^\star )\, {\rm d} \rho _0 / {\rm d} z}$
. Figure 1 illustrates the situation under consideration.
Situation considered in this study. Internal gravity waves are generated over a spatially localised small bottom topography forced by an oscillatory barotropic flow in the presence of a sheared background current.

For a flat bottom boundary case,
$h = 0$
, the reference state
$(\boldsymbol{u}, \rho ) = (\boldsymbol{u}_0, \rho _0)$
is an exact solution of (2.1), but generally, the bottom topography acts as an obstacle for the current and a flow rising up the sloping boundary generates internal gravity waves. Therefore, we may write the solution as a superposition of the reference components and wave disturbances,
Inserting these expressions into (2.1) and (2.2), and regarding the reference pressure as
we derive a set of governing equations for the wave motion,
as well as their boundary conditions,
In the following, we shall assume that the bottom topography and the disturbance at the initial time are horizontally localised such that
$\lim _{x \to \pm \infty } \{ h, u', w' \} = 0$
at
$t = 0$
is understood. This condition, as well as the incompressible constraint (2.1c
), makes the net horizontal volume transport governed by the reference state and independent of the bottom-generated disturbance. This point is made explicit by a formula,
$\int _{h(x)}^H u(x, z, t)\,\text{d}z = \int _0^H u_0(z, t) \,\text{d}z$
, or equivalently,
whose horizontal derivative conforms to the bottom boundary condition in (2.6).
2.2. Scaling and dimensionless constants
Up to now, we have not made any approximations; the set of equations governing the disturbance motions, (2.5) and (2.6), is equivalent to the original ones, (2.1) and (2.2). A key step to making the problem more tractable is linearising the equations based on proper scaling and asymptotic expansion. We write the typical velocity as
$U^\star$
, the typical buoyancy frequency as
$N^\star$
and the typical topographic height as
$h^\star$
. We then scale and redefine the variables as
\begin{align} x + \int ^t_0 U_T \cos \omega _T t' \text{d}t' = H \tilde {x}, \quad z = H \tilde {z}, \quad t = \frac {\tilde {t}}{N^\star } , \nonumber \\ (u', w') = U^\star \left (- \frac {\partial \tilde {\psi }}{\partial \tilde {z}}, \frac {\partial \tilde {\psi }}{\partial \tilde {x}} \right ), \quad \rho ' = \frac {\rho ^\star U^\star N^\star \tilde {\rho }}{g}, \quad p' = \rho ^\star U^\star N^\star H \tilde {p} , \nonumber \\ \left ( U, U_T \right ) = U^\star \big( \tilde {U}, \tilde {U}_T \big), \quad \omega _T = N^\star \tilde {\omega }_T, \quad N = N^\star \tilde {N}, \quad h = h^\star \tilde {h} , \end{align}
where the horizontal coordinate is changed to follow the background oscillating current, and
$\tilde {\psi }$
and
$\tilde {\rho }$
represent the streamfunction and the density perturbation for the wave component, respectively.
In the present setting, two dimensionless constants naturally arise as
in which
$\epsilon$
measures the nonlinearity of the topographically generated internal waves and
$\mu$
represents the Froude number of the reference flow.
2.3. Asymptotic regime and expansion
To apply the asymptotic expansion, we assume a small topography regime
$\epsilon \ll 1$
so that the nonlinear effects are negligible in the leading order. If we regard the full depth
$H$
as the typical length scale of the reference velocity,
$\mu ^{-2}$
roughly represents the gradient Richardson number. Accordingly, the assumption that
$\mu$
is small would allow the use of the WKB approximation in the vertical direction. However, we do not rely on such an approximation here; from now on, we set
$\mu =1$
, which means that the velocity variables are scaled by
$N^\star H$
. For simplicity, we will omit the tilde on all symbols in the following.
We expand the unknown variables in terms of a small parameter
$\epsilon$
as
Accordingly, from (2.5) to (2.7), the equations governing the first-order terms are derived as
with the boundary conditions,
Note that the bottom boundary condition is now set at
$z = 0$
instead of
$z = \epsilon h$
. This treatment is common for topographic wave generation theory and valid as far as we consider linear processes. However, it requires some modifications in the energy budget equation. We will discuss this point in § 5.
Compared with the original nonlinear equations, the reduced linear equations, (2.11) and (2.12), are simple enough to be solved analytically. In the following, we assume
$N(z)$
and
$U(z)$
are sufficiently smooth functions and satisfy the condition for the Richardson number
$N^2 / U_z^2 \gt 1/4$
everywhere in
$0 \leq z \leq 1$
, which ensures the flow stability (Howard Reference Howard1961; Miles Reference Miles1961). In addition, we also assume
$U_z\gt 0$
to let
$N^2 / U_z^2$
be finite.
3. Formal solutions of the linear problem
The linearised system (2.11)–(2.12) describes the leading-order internal-wave response generated by small topography, while neglecting the feedback on the prescribed background flow. In this section, we obtain a formal solution of this initial-value problem using a horizontal Fourier transform and a temporal Laplace transform. This formulation expresses the response in terms of the resolvent of a wave operator.
Our main goal is to make the spectral structure of this operator explicit. This spectral viewpoint underpins the more explicit stationary solutions derived in § 4 and provides the foundation for the energetics and conversion-rate formulae developed in § 5.
3.1. Horizontal Fourier transform
Since the coefficients in (2.11) do not depend on
$x$
, it is useful to take the Fourier transform in the horizontal direction,
Following Bell (Reference Bell1975), we apply the Jacobi–Anger expansion to the Fourier transform of the bottom boundary condition in (2.12) in terms of the harmonics of the tidal frequency to obtain
\begin{align} \hat {\psi }_1 (k, 0, t) = \sum _{n = -\infty }^\infty \frac {(k U_0 - \omega _n) \hat {h}}{k} J_n \left ( \frac {k U_T}{\omega _T} \right ) e^{- \textrm {i} \omega _n t} , \end{align}
where
$U_0 \equiv U(0)$
,
$\omega _n \equiv n \omega _T$
and
$J_n$
is the
$n$
th-order Bessel function of the first kind (Equation (3.2) involves an infinite number of terms corresponding to the harmonics of the tidal frequency. Their relative contributions depend on the parameters
$k U_T / \omega_T$ and $k U_0 / \omega_T$
. If the steady current is absent at the bottom (
$U_0 = 0$
), it is classically known that the tidal frequency
$\vert n \vert = 1$
is dominant when
$k U_T / \omega_T \ll 1$
, while high harmonics,
$\vert n \vert \gt 1$
, are important when
$k U_T / \omega_T \gtrsim 1$
. On the other hand, if we take into account the steady current,
$U_0 \neq 0$
, a stationary component,
$n = 0$
, also appears (Shakespeare Reference Shakespeare2020) and is dominant when
$k U_T / \omega_T \ll 1$
.). The governing equations (2.11) are transformed into
with
${\nabla} ^2_k \equiv -k^2 + \partial _z^2$
. Equations (3.2) and (3.3), as well as the upper boundary condition,
$\hat {\psi }_1(k, 1, t) = 0$
, redefine the problem to be solved. Classically, there are two strategies to address this type of problem. The first is to directly find the solution that satisfies the inhomogeneous boundary condition. The second is to decompose the solution into two parts: one that satisfies the inhomogeneous boundary condition and is easily detectable, and the other that satisfies homogeneous boundary conditions and can be solved separately. This section employs the second approach because it provides a better insight into the basic spectral properties of waves inherent in shear flow problems. The first strategy will be applied in § 4, where we discuss the stationary response solution.
3.2. Potential and vortical flow decomposition
To handle the inhomogeneous boundary condition at the bottom, we employ the Helmholtz decomposition for the velocity field to write the streamfunction as
$\hat {\psi }_1 = \hat {\psi }_1^p + \hat {\psi }_1^v$
. Here,
$\hat {\psi }_1^p$
and
$\hat {\psi }_1^v$
represent the potential and vortical flow parts, respectively. The potential flow solves
${\nabla} ^2_k \hat {\psi }_1^p = 0$
and satisfies the inhomogeneous bottom boundary condition (3.2) and the homogeneous upper boundary condition. An analytical solution is immediately derived as
\begin{align} \hat {\psi }^p_1 = \frac {\sinh \left [ k(1 - z) \right ]}{\sinh k} \sum _{n = -\infty }^\infty \frac {(k U_0 - \omega _n) \hat {h}}{k} J_n \left ( \frac {k U_T}{\omega _T} \right ) e^{- \textrm {i} \omega _n t} . \end{align}
The vertical structure of the potential flow depends on the magnitude of the horizontal wavenumber. When the wavenumber is small,
$\vert k \vert \ll 1$
, the horizontal component of the potential flow,
$-\partial _z \hat {\psi }^p_1$
, is homogeneous in the vertical direction, representing the barotropic response in the hydrostatic regime. If the wavenumber is large,
$\vert k \vert \gg 1$
, the potential flow is localised close to the bottom and exponentially weak in the upper part of the fluid.
Now that a solution of the potential flow part is obtained, the remaining vortical flow part
$\hat {\psi }_1^v$
as well as the density perturbation
$\hat {\rho }_1$
are determined from (3.3) as the solutions of a set of inhomogeneous equations,
with the homogeneous boundary conditions,
$\hat {\psi }^v_1 (k, 1, t) = \hat {\psi }^v_1 (k, 0, t) = 0$
. Our present problem is thus to investigate the linear response of prognostic variables
$(\hat {\psi }^v_1, \hat {\rho }_1)$
to time-dependent external forcing originating from
$\hat {\psi }_1^p$
as governed by (3.5). Equations (3.5) are valid for each
$k$
independently. Since all the terms on the right-hand sides vanish when
$k=0$
, we may set
$\hat {\psi }_1^v(0, z, t) = \hat {\rho }_1(0, z, t) = 0$
.
3.3. Formal solutions derived from Laplace transform
To derive the general solution of (3.5), it is convenient to introduce a linear operator
$\unicode{x1D648}_k$
and rewrite the system as a forced Schrödinger-type evolution equation
\begin{align} \textrm {i} \frac {\partial \hat {\boldsymbol{v}}}{\partial t} = \unicode{x1D648}_k \hat {\boldsymbol{v}} + \sum _{n = -\infty }^\infty \hat {\boldsymbol{f}}_{\!n} e^{- \textrm {i} \omega _n t} , \end{align}
where
and
\begin{align} \unicode{x1D648}_k = \left (\!\begin{array}{cc} k U - k U_{zz} {\nabla} _k^{-2} & k \\[3pt] - k N^2 {\nabla} ^{-2}_k & k U \end{array} \!\right )\!. \end{align}
Here, the inverse of the Laplacian is defined by
${\nabla} _k^{-2} A = B \Leftrightarrow A = {\nabla} _k^2 B$
with
$\left . B \right |_{z = 0,1} = 0$
for a prescribed
$A$
, and its explicit representation is given in (A2). For an arbitrary initial condition
$\hat {\boldsymbol{v}}(k,z,0) = \hat {\boldsymbol{v}}_0(k, z)$
, the solution of (3.6) can be formally obtained using a temporal Laplace transform. We define
where
$\sigma$
is a complex number with
$\Im \sigma$
sufficiently large for the integral to converge. Applying this transform to (3.6) yields
\begin{align} \sigma \tilde {\boldsymbol{v}} = \unicode{x1D648}_k \tilde {\boldsymbol{v}} + \textrm {i} \hat {\boldsymbol{v}}_0 + \sum _{n = -\infty }^\infty \frac {\textrm {i} \hat {\boldsymbol{f}}_{\!n}}{(\sigma - \omega _n)} . \end{align}
The inverse transform then gives the general solution
\begin{align} \hat {\boldsymbol{v}} = \frac {\textrm {i}}{2 \pi } \int _{-\infty + \textrm {i} \gamma }^{\infty + \textrm {i} \gamma } \frac {e^{- \textrm {i} \sigma t} \hat {\boldsymbol{v}}_0}{\sigma \unicode{x1D644} - \unicode{x1D648}_k} \,\text{d}\sigma + \frac {\textrm {i}}{2 \pi } \sum _{n = - \infty }^\infty \int _{-\infty + \textrm {i} \gamma }^{\infty + \textrm {i} \gamma } \frac {e^{- \textrm {i} \sigma t} \hat {\boldsymbol{f}}_{\!n}}{(\sigma - \omega _n) (\sigma \unicode{x1D644} - \unicode{x1D648}_k)} \,\text{d}\sigma , \end{align}
where
$\unicode{x1D644}$
is the identity matrix and
$\gamma \gt 0$
is chosen so that (3.9) converges for all
$\sigma$
with
$\Im \,\sigma \gt \gamma$
.
Equation (3.11) expresses the solution as an inverse Laplace transform whose integrand contains
$(\sigma \unicode{x1D644}-\unicode{x1D648}_k)^{-1}$
, the resolvent of the operator
$\unicode{x1D648}_k$
. In general, such inverse transforms are evaluated by deforming the contour and accounting for the singular behaviour of the integrand in the complex
$\sigma$
-plane. It is therefore essential to identify the set of values of
$\sigma$
for which the resolvent fails to be well defined. For systems with finitely many degrees of freedom, the relevant singularities typically reduce to isolated poles, so the residue theorem yields the familiar decomposition into free modal oscillations and a particular forced response. In the present shear-flow problem, however, the unknowns are functions of the continuous vertical coordinate
$z$
and the resolvent can exhibit non-isolated singular behaviour that cannot be captured by residues alone. We refer to this set as the spectrum of
$\unicode{x1D648}_k$
, which we determine in the next subsection.
3.4. Spectrum of the operator
$\unicode{x1D648}_k$
To make the previous statement concrete, we regard the resolvent
$(\sigma \unicode{x1D644}-\unicode{x1D648}_k)^{-1}$
as a function of the complex parameter
$\sigma$
. For each fixed
$(k,\sigma )$
, (3.10) is a boundary-value problem in
$z$
. When this problem admits a regular solution in the entire domain
$0 \leq z \leq 1$
, the resolvent is well defined. Conversely, values of
$\sigma$
for which the boundary-value problem fails to have a regular solution correspond to singularities of the resolvent. We denote the set of such values of
$\sigma$
for a given
$k$
by
$\varSigma _k$
and call it the spectrum of
$\unicode{x1D648}_k$
.
The spectrum
$\varSigma _k$
is directly assessed by making explicit the resolvent of
$\unicode{x1D648}_k$
, or equivalently, solving the boundary-value problem (3.10) for each
$(k,\sigma )$
. In practice, this programme reduces to solving a second-order differential equation. This point is made clear by reorganising (3.10) in terms of the streamfunction as
where
$F(z)$
collects the inhomogeneous terms involving
$\hat {\boldsymbol{v}}_0$
and
$\hat {\boldsymbol{f}}_{\!n}$
. The homogeneous counterpart of this equation,
$\mathcal{T}_{k,\sigma }\tilde {\psi }=0$
, is the Taylor–Goldstein equation governing unforced internal waves in shear flows. For the inhomogeneous problem (3.12), the solution can be written as an integral representation in terms of the corresponding Green function (e.g. Bender & Orszag Reference Bender and Orszag2013). We summarise this Green-function solution in Appendix A; for our purposes, the key point is that it becomes singular for particular values of
$\sigma$
and these values constitute
$\varSigma _k$
.
As elucidated in Appendix A, the spectrum
$\varSigma _k$
consists of two parts with distinct physical origins. First, isolated values of
$\sigma \in \varSigma _k$
correspond to regular eigenvalue solutions of the Taylor–Goldstein equation. We collect such values of
$\sigma$
to define a subset of the spectrum
$\varSigma ^d_k = \{\sigma \,\vert \, D(k,\sigma )=0\}$
, where
$D(k,\sigma )$
specifies the dispersion relation of vertically standing internal waves and is obtained by enforcing the boundary conditions on the Taylor–Goldstein equation (see Appendix A.2.1). Since these solutions are regular throughout the domain, the Miles–Howard stability theorem applies and ensures that
$\varSigma ^d_k \subset \mathbb{R}$
under the assumption
$N^2/U_z^2 \gt 1/4$
for all
$0 \leq z \leq 1$
.
Second, when
$\sigma /k$
lies within the range of the background flow
$U(z)$
, the Taylor–Goldstein equation admits singular solutions associated with a critical level at which
$kU=\sigma$
(Appendix A.2.5). The corresponding values of
$\sigma$
then form a continuous interval,
$\varSigma ^c_k = \left \{\sigma \,\vert \, U(0) \leq \sigma /k \leq U(1)\right \}$
. In the following, we refer to
$\varSigma ^d_k$
and
$\varSigma ^c_k$
as the discrete and continuous spectra, respectively.
Integration contour of the inverse Laplace transform for a positive
$k$
. We shift the contour originally defined in the upper half of the complex plane in the negative direction along the imaginary axis. There exist an infinite number of poles, which involve the eigenvalues of
$\unicode{x1D648}_k$
, i.e. the discrete spectrum
$\varSigma ^d_k$
, and the forcing frequency
$\omega _n$
. An element of the discrete spectrum,
$\sigma \in \varSigma ^d_k$
, is either in a range
$\sigma \lt k U(0)$
or
$\sigma \gt k U(1)$
, while the forcing frequency
$\omega _n$
may be located anywhere on the real axis. There also exist three branch points on the real axis. Two branch points
$kU(0)$
and
$kU(1)$
originate from the factors
$\gamma ^\pm (0)$
and
$\gamma ^\pm (1)$
, and the intermediate point
$kU(z)$
from
$\gamma ^\pm (z)$
, which are involved in the solutions of the Taylor–Goldstein equation, (A4). Since the location of the intermediate point depends on
$z$
and thus ranges from
$k U(0)$
to
$k U(1)$
, the continuous spectrum,
$\varSigma ^c_k$
, is composed of
$\sigma \in [ k U(0), kU(1)]$
.

To examine how each element in the spectrum
$\varSigma _k$
affects the solution (3.11), we consider the integration contour illustrated in figure 2; we shift the contour in the negative direction of the imaginary axis, but circumventing the singular points (elements of
$\varSigma _k$
). The net contribution to the integration is constituted of the residues from poles and integration along branch cuts. In the first term in (3.11), which represents the free wave solution, the residues of
$\sigma \in \varSigma ^d_k$
represent standing waves that are the discrete eigenmodes of the system, in agreement with the fact that
$D(k, \omega ) = 0$
represents the dispersion relations of these modes. In contrast, integration along a branch cut that extends from a point in
$\varSigma ^c_k$
originates from the steady shear flow. There exist three branch points as indicated in figure 2, among which the middle one dependent on
$z$
reflects the critical level. This point appears in the integrand in the form
where
$m$
is an integer, and
$\nu$
is a function of
$\sigma$
and
$k$
(see Appendix A). Because the exponent is not an integer, the residue theorem is not applicable there. An asymptotic evaluation shows that the contributions from the branch cuts behave algebraically in time and the wave energy will not grow from a smooth initial profile in the long-term limit (Brown & Stewartson Reference Brown and Stewartson1980; Jose et al. Reference Jose, Roy, Bale and Govindarajan2015). The unforced system is, therefore, stable.
The integrand of the second term in (3.11) possesses another singularity at the forcing frequency,
$\sigma = \omega _n$
. If
$\omega _n$
does not belong to the spectrum
$\varSigma _k$
, the residue of this pole yields harmonic oscillation and, hence, the system is still stable. However, if the forcing frequency matches an element of the spectrum, integration around this point can exhibit algebraic growth in time. To focus on this resonant process, it is convenient to add a small relaxation term that mimics viscosity to the time derivative, setting
$\partial _t \to \partial _t + r$
with
$r \gt 0$
in (3.6). In this system,
$\varSigma _k$
is slightly lowered along the imaginary axis so that the contributions to the integral in (3.11) from the spectrum are exponentially damped with time. The residue from
$\sigma = \omega _n$
is solely responsible for the long-term behaviour. Accordingly, the stationary response solution is derived as
\begin{align} \hat {\boldsymbol{v}} = \sum _{n = - \infty }^\infty \frac {e^{- \textrm {i} \omega _n t} \hat {\boldsymbol{f}}_{\!n}}{ (\omega _n + \textrm {i} r) \unicode{x1D644} - \unicode{x1D648}_k} . \end{align}
This solution is regular everywhere for a finite
$r$
, but when taking the inviscid limit
$r \to 0$
, singularity can arise. Specifically, if the forcing frequency
$\omega _n$
belongs to the discrete spectrum
$\varSigma ^d_k$
, the solution diverges almost everywhere in
$z$
. On the other hand, if
$\omega _n$
is an interior point of the continuous spectrum
$\varSigma ^c_k$
, the solution is singular at a particular level (Appendix A.2.5). In either case, wave energy
$E$
diverges – energy is unboundedly supplied from the forcing term. The spectrum inherent in the unforced system determines the condition of the permanent energy supply from the external tidal force.
Although we are mainly interested in the inviscid problem, keeping a small but finite
$r \gt 0$
throughout the paper is useful in that it moves the location of a singular point slightly from a real axis in the
$z$
- or
$k$
-plane. This enables us to: (i) display the vertical structure of a solution that possesses a critical level (figure 3
d); (ii) determine in which half-plane a pole or branch point exists (figure 4); (iii) learn the behaviour of a solution in the genuine resonant situation (figure 5); and (iv) derive the explicit formula for the energy production rate (§ 5.3).
4. Stationary solution from a boundary value problem
The stationary solution in the form (3.14) is informative for a direct qualitative physical interpretation of the linear response to external forcing. However, (3.14) is not convenient for explicit calculations because the resolvent operator involves an intricate integral transform (A5). We therefore proceed by solving an equivalent one-dimensional boundary-value problem: combining the potential and vortical parts yields a single Taylor–Goldstein equation with an inhomogeneous bottom boundary condition, which we solve for each tidal harmonic.
(a) Spectrum of an operator
$\unicode{x1D648}_k$
for a constant shear and stratification case,
$N = 1$
and
$U = 0.15 z$
. Blue and red curves correspond to
$D(k, \sigma ) = 0$
and represent the dispersion relations of vertically standing eigenmodes. The magenta region represents the continuous spectrum. (b–d) Spatial structures of stationary solutions for each horizontal wavenumber are demonstrated by drawing the real part of
$A_1(z; k, \sigma ) e^{\textrm {i} k x}$
.

Having obtained these stationary solutions, we interpret and classify them using the spectrum identified in § 3.4. In particular, whether the forcing frequency intersects the discrete spectrum
$\varSigma ^d_k$
or lies within the continuous spectrum
$\varSigma ^c_k$
determines the qualitative character of the response (standing modes versus critical-level behaviour). For spatially localised topography, this spectral classification becomes particularly transparent in the far field: an asymptotic evaluation of the inverse Fourier integral separates pole contributions associated with the discrete spectrum from branch-cut contributions associated with the continuous spectrum (§ 4.2). This viewpoint provides a direct link between the initial-value resolvent formulation of § 3 and the boundary-value approach developed below.
4.1. Single-wavenumber solution
Now, we inherit the idea of the previous section that the model involves a small relaxation term specified by
$r \gt 0$
and the system reaches a stationary state. Consequently, the solution in the inviscid limit consists of the linear superposition of harmonic oscillations as
\begin{align} \big [ \hat {\psi }_1(k, z, t), \hat {\rho }_1(k, z, t) \big ] = \lim _{r \to 0} \sum _{n = -\infty }^\infty \big [\hat {\psi }_{1n} (z; k, r), \hat {\rho }_{1n} (z; k, r) \big ] e^{- \textrm {i} \omega _n t}. \end{align}
Each element of the streamfunction solves the homogeneous Taylor–Goldstein equation,
$\mathcal{T}_{k,\omega _n + \textrm {i} r} \hat {\psi }_{1n} = 0$
, with the inhomogeneous bottom boundary condition (3.2) and the homogeneous upper boundary condition. The density perturbation is then related via (3.3b
). We readily write down the solutions as
where
$A_1$
represents a vertical structure function that is a solution for
$\mathcal{T}_{k,\omega _n + \textrm {i} r} A_1 = 0$
with a one-side boundary condition
$\left . A_1 \right \vert _{z=1} = 0$
and
$D$
plays the role of normalisation such that
$\left . A_1 \right \vert _{z=0} = D$
is understood. Since the solutions in physical space,
$\psi$
and
$\rho$
, are real functions, their Fourier transform should satisfy the symmetric property as to changes in signs of wavenumber and frequency, i.e.
$\hat {\psi }_{1n} (z; k, r) = \hat {\psi }^\dagger _{1-n} (z; - k, r)$
and
$\hat {\rho }_{1n} (z; k, r) = \hat {\rho }^\dagger _{1-n} (z; - k, r)$
, where
${}^\dagger$
denotes the complex conjugate. Therefore, it is enough to consider the cases of
$n \geq 0$
in the following.
Integration contour of the Fourier integral (3.1) for positive
$x$
. The contour originally defined on the real axis is shifted over a finite distance on the complex plane along the imaginary axis. For a wavenumber
$k = k_r + \textrm {i} k_i$
, the exponential factor in the integrand becomes
$e^{\textrm {i} k x} = e^{\textrm {i} k_r x - k_i x}$
. Therefore, for a large
$x$
, contributions from the line segments in the upper half of the complex plane become exponentially small, and the integration is dominated by those around the poles and branch points, which approach the real axis in the inviscid limit
$r \to 0$
. For negative
$x$
, the integration contour is shifted in the opposite direction. Note that the branch point around which the solution (4.11) is evaluated is
$k' = (\omega _n + \textrm {i} r) / U(z)$
. Currently, we are considering the case when
$U\gt 0$
for any
$z \in [0, 1]$
. For
$U \lt 0$
, the corresponding branch point exists in the lower half-plane.

The equation
$\mathcal{T}_{k,\sigma } A_1 = 0$
can be solved for a general set of
$N(z)$
and
$U(z)$
numerically, but for the simplest case of uniform shear and stratification,
$N=1$
and
$U = U_0 +{} (U_1 - U_0) z$
, an analytical expression is available (Appendix B). Figure 3 shows the spectrum of
$\unicode{x1D648}_k$
as well as some examples of the vertical structure function
$A_1 (z)$
where we set
$U_0 = 0$
and
$U_1 = 0.15$
. In these plots, we augment the structure function by multiplying
$e^{\textrm {i} k x}$
to illustrate both the vertical and horizontal structures. Depending on the horizontal wavenumber and the forcing frequency, the wave structure exhibits distinct characteristics. For
$(k, \sigma ) = (-5, 1.5)$
as in figure 3(b), because the generated wave’s frequency is greater than the background buoyancy frequency, the solution exhibits an evanescent structure localised close to the bottom. If we choose a wavenumber and frequency close to a dispersion curve of a discrete mode (i.e. the discrete spectrum
$\varSigma ^d_k$
), specifically
$(k, \sigma ) = (2.5, 0.6)$
in figure 3(c), the solution becomes a vertically standing wave structure (we cannot define a stationary solution if the forcing frequency lies in the dispersion curves since a denominator
$D$
in (4.2) vanishes in that limit). There exist an infinite number of such standing modes in the vicinity of the edges of the continuous spectrum (Appendix A.2.3).
By contrast, when the forcing frequency lies within the continuous spectrum,
$\omega _n \in \varSigma ^c_k$
, the inviscid stationary solution exhibits a singularity at a critical level where
$k U$
coincides with
$\omega _n$
. More specifically, according to (A4) and (A8), the vertical structure function
$A_1$
admits a local representation
where
$z^c$
and
$\nu$
are functions of
$k$
and
$\sigma = \omega _n + \textrm {i} r$
defined through
\begin{align} k U(z^c) = \sigma \quad \text{and} \quad \nu = \sqrt {\left . \frac {N^2}{U_z^2} \right \vert _{z = z^c} - \frac {1}{4}} , \end{align}
and
$\alpha _1(z)$
and
$\alpha _2(z)$
are smooth functions. In the inviscid limit
$r \to 0$
, the branch point
$z = z^c$
approaches the real axis and the two local solutions in (4.3) are connected across
$z^c$
according to the rule (A10). The upper-boundary condition then imposes
$\alpha _2 = \alpha _1^\dagger$
. Above the critical level, since the two terms in (4.3) have the same amplitude,
$A_1$
exhibits a standing wave structure. Below the critical level, the amplitudes of the two terms differ by a factor
$e^{2 \pi \nu }$
, so that the upward-propagating component dominates the downward-propagating component. The wave amplitude in the upper layer is smaller than that of the lower layer by a factor
$e^{\pi \nu }$
. These features are evident in figure 3(d),
$(k, \sigma ) = (5, 0.5)$
.
This amplitude jump across the critical level is a classical signature of wave focusing and absorption into the background flow at a critical layer, most transparently discussed in initial-value problems (Booker & Bretherton Reference Booker and Bretherton1967). The previous discussion, however, assumes a single horizontal wavenumber, which corresponds to a sinusoidal topography. For localised topography, the forcing excites a continuum of horizontal wavenumbers, and the manifestation of the critical-layer behaviour is qualitatively different, as we discuss in the following.
4.2. Wave generation from localised topography
We now turn to wave generation by bottom topography that is localised in physical space. In this case, the full solution is obtained by performing the inverse Fourier transform, i.e. inserting (4.2) and (4.1) into (3.1). This step requires some care compared with the inverse Laplace transform discussed earlier. Even when the integrand is analytic in
$k$
along the real axis, shifting the contour arbitrarily far into the complex plane is generally inappropriate because the analytic structure of
$\hat {h}$
must also be taken into account. For instance, for a Gaussian ridge
$h(x) \propto e^{-x^2/2}$
, the Fourier transform behaves as
$\hat {h}(k) \propto e^{-k^2/2}$
and diverges as
$k \to \pm \textrm {i} \infty$
. Closed-form expressions are therefore available only for special choices of
$U$
,
$N$
and
$h$
. Here, we instead adopt an asymptotic approach to describe the solution far from the localised topography. As illustrated in figure 4, the integration contour is shifted a finite distance into the complex plane while circumventing the relevant singularities. In the limit
$|x| \to \infty$
, the dominant contributions arise from singularities located near the real axis, since the integrand decays exponentially away from it. This contour-deformation argument applies to a broad class of spatially localised topographies.
Spectrum of an operator
$\unicode{x1D648}_k$
for a constant shear and stratification case,
$N = 1$
and
$U = 0.05 +{} 0.15 z$
. On the dispersion curves of discrete modes, there exist points where group velocity
$c^g_j$
vanishes.

In the present problem, the relevant singularities are poles and branch points, which originate from the discrete and continuous spectra of the system, respectively. We first investigate the contributions from the poles. For a prescribed real
$k$
, the location of the zeros of
$D(k, \sigma )$
is specified by the discrete spectrum as
$\varSigma ^d_k = \{ \sigma ^\pm _m \}_{m = 1, 2, \ldots }$
, where
$\sigma ^+$
and
$\sigma ^-$
are distinguished in terms of the sign of
$\sigma / k - U$
(Appendix A.2). Similarly, for a prescribed real
$\sigma$
, we shall write the location of the zeros of
$D(k, \sigma )$
on the real axis as
$K^d_\sigma = \{ k_j \}_{j = 1, 2, \ldots }$
. When
$r \gt 0$
is sufficiently small, in the vicinity of
$k = k_j \in K^d_{\omega _n}$
,
$D$
is locally expanded as
\begin{align} D(k, \omega _n + \textrm {i} r) & = - \left [ k - k_j - \frac {\textrm {i} r}{c^g_j} + \mathcal{R}(k, r) \right ] c^g_j D_\sigma\\[-10pt]\nonumber \end{align}
where
$\mathcal{R}$
is a residual factor that vanishes in the limits of
$r \to 0$
and
$k \to k_j$
faster than the other terms, i.e.
$\mathcal{R} = o(k - k_j, r)$
in Landau notation. Expression (4.5b
) represents the slope of the dispersion curve, i.e. the horizontal group velocity of an eigenmode. According to (4.5a
), the integrand of the Fourier integral (3.1) involves a pole at
$k = k_j + \textrm {i} r / c_j^g + o(r) \equiv k'_j$
. If
$c_j^g \gt 0$
, this pole is located slightly above the real axis and the circular integration around it contributes to the solution for
$x \to + \infty$
. If
$c_j^g \lt 0$
, by contrast, the pole is located below the real axis and it contributes when
$x \to - \infty$
. We shall write these factors involved in the Fourier integral in (3.1) as
\begin{align} \lim _{r \to 0} \frac {1}{2 \pi } \oint _{k \sim k'_j} \hat {\psi }_{1n} e^{\textrm {i} k x}\,\text{d}k = \frac {(k_j U_0 - \omega _n) \hat {h}(k_j)}{\textrm {i} k_j \big\vert c^g_j \big\vert D_\sigma (k_j, \omega _n)} J_n \left ( \frac {k_j U_T}{\omega _T} \right ) A_1(z; k_j, \omega _n) e^{\textrm {i} k_j x} , \end{align}
where integration is performed in the counterclockwise (clockwise) direction for
$c^g_j \gt 0$
(
$c^g_j \lt 0$
). Equation (4.6) represents a vertically standing-mode wave train that travels far away from the topography while not changing its amplitude. This is the solution discussed by Lamb & Dunphy (Reference Lamb and Dunphy2018).
Equations (4.5a
) and (4.6) are invalid when the group velocity vanishes,
$c^g_j = 0$
. An example of this situation is illustrated in figure 5. An alternative expansion of
$D$
in this case is
\begin{align} D(k, \omega _n + \textrm {i} r) = - \left [ \frac {(k - k_j)^2}{2} - \frac {\textrm {i} r}{c^g_{j k}} + \mathcal{R}(k, r) \right ] c^g_{j k} D_\sigma , \end{align}
where
$\mathcal{R} = o((k - k_j)^2, r)$
and
$c^g_{j k} = - D_{kk} / D_\sigma$
is understood. Supposing
$c^g_{jk} \lt 0$
, the integrand in (4.7) has a pair of poles at
\begin{align} k = k_j \pm (1 - \textrm {i}) \sqrt {\frac {r}{\big\vert c^g_{jk} \big\vert }} + o\big( r^{1/2} \big) \equiv k^\pm _j . \end{align}
Circular integration around these poles for small
$r$
is evaluated as
\begin{align} \frac {1}{2 \pi } \oint _{k \sim k^\pm _j} \hat {\psi }_{1n} e^{\textrm {i} k x} \,\text{d}k & = \frac {(k_j U_0 - \omega _n) \hat {h}(k_j)}{(1 + \textrm {i}) k_j \sqrt {r \big\vert c^g_{j k} \big\vert } D_\sigma (k_j, \omega _n)} J_n \left ( \frac {k_j U_T}{\omega _T} \right ) A_1(z; k_j, \omega _n) e^{\textrm {i} k^\pm _j x} \nonumber \\ \quad & + o \big(r^{-1/2} \big) . \end{align}
Accordingly, the stationary solution is divergent in the inviscid limit with the power law
$\vert \psi \vert \propto r^{-1 /2}$
. Physically, if the group velocity is 0, wave energy accumulates locally above the topography. Interference between the accumulating wave and the topographic forcing results in resonant amplification (this situation does not correspond to a convective or absolute instability, as no exponentially growing modes exist when
$Ri\gt 1/4$
(Miles–Howard theorem). Instead, the vanishing group velocity indicates a resonance condition, where the forced response is amplified due to the matching of the forcing frequency with the natural frequency of a stationary wave mode). Far from the topography, the wave amplitude is damped exponentially over the length scale
$\sqrt {\vert c^g_{jk} \vert / r}$
according to (4.8). In this process, the group velocity dispersion represented by the curvature of the dispersion curve,
$c^g_{jk}$
, plays distinctive roles. When
$\vert c^g_{jk} \vert$
is small, a broad range of wavenumbers is involved in the resonance so that the wave is much more amplified. At the same time, the group velocity of these side-band components is still small, which results in shortening the decay length scale.
We next consider the contributions from the branch cut. For a prescribed
$k$
and
$\sigma$
,
$A_1(z; k, \sigma )$
can have a branch point at
$z = z'$
where
$k U(z') = \sigma$
. In the same way, for a prescribed
$\sigma$
and
$z$
, a branch point
$k = k'$
is defined where
$k' U(z) = \sigma$
is satisfied. At a particular level where
$U(z) = 0$
, however, this consideration does not make sense because
$k U(z) = \sigma$
is identically satisfied for any
$k$
if
$\sigma = 0$
. This location is the critical level of the steady component,
$n = 0$
, where an inviscid stationary solution is undefinable. In the following, we neglect this level and set
$U(z) \neq 0$
and
$n \gt 0$
.
Now, we write the branch point corresponding to the critical level as
$k' (z, r) ={} (\omega _n + \textrm {i} r) / U(z)$
. Around this point, inserting
$z = z^c (k', \omega _n + \textrm {i} r)$
and
$z^c = z^c (k, \omega _n + \textrm {i} r)$
into (4.3), we expand
$A_1$
as
\begin{align} A_1(z; k, \omega _n + \textrm {i} r) & = \left ( \frac {U}{k' U_z} \right )^{1/2 - \textrm {i} \nu } \big(k - k' \big)^{1/2 - \textrm {i} \nu } \alpha _1(z) \nonumber \\ &\quad + \left ( \frac {U}{k' U_z} \right )^{1/2 + \textrm {i} \nu } \big(k - k' \big)^{1/2 + \textrm {i} \nu } \alpha _2(z) + \mathcal{R} , \end{align}
where
$\partial _k z^c = - U(z^c) / [k U_z(z^c)]$
has been used. Note that
$\nu$
was a function of
$z^c(k, \omega _n + \textrm {i} r)$
in (4.3), but it is now a function of
$z$
. This replacement yields an error
$\propto (k - k')^{3/2 \pm \textrm {i} \nu } \log (k - k')$
, which is negligible in the following result and hence included in the residual term
$\mathcal{R}$
. For
$U(z) \gt 0$
, the branch point is located in the upper half of the complex
$k$
plane. Its contribution to the integral at
$x \gg 1$
is evaluated as
\begin{align} \lim _{r \to 0} \frac {1}{2 \pi } \int _{k \sim k'} \hat {\psi }_{1n} e^{\textrm {i} kx} \,\text{d}k & = \left [ \left ( \frac {U^2}{\omega _n U_z} \right )^{1/2 - \textrm {i} \nu } \frac {e^{- \pi \nu / 2} \alpha _1 x^{\textrm {i} \nu }}{\varGamma (- 1/2 + \textrm {i} \nu )}\right.\nonumber \\ &\quad+ \left.\left ( \frac {U^2}{\omega _n U_z} \right )^{1/2 + \textrm {i} \nu } \frac {e^{\pi \nu / 2} \alpha ^\dagger _1 x^{- \textrm {i} \nu }}{\varGamma (- 1/2 - \textrm {i} \nu )} \right ] \nonumber \\ &\quad\times (U_0 - U) \hat {h} \left ( \frac {\omega _n}{U} \right ) J_n \left ( \frac {n U_T}{U} \right ) \frac {\textrm {i}^{- 1/2} x^{- 3/2} e^{\textrm {i} \omega _n x / U}}{D(\omega _n / U, \omega _n)} + o\big ( x^{-3/2} \big ) ,\end{align}
\begin{align} \lim _{r \to 0} \frac {1}{2 \pi } \int _{k \sim k'} \hat {\rho }_{1n} e^{\textrm {i} kx} \,\text{d}k & = \left [ \left ( \frac {U^2}{\omega _n U_z} \right )^{1/2 - \textrm {i} \nu } \frac {e^{- \pi \nu / 2} \alpha _1 x^{\textrm {i} \nu }}{\varGamma (1/2 + \textrm {i} \nu )} \right.\nonumber \\ & \quad+ \left.\left ( \frac {U^2}{\omega _n U_z} \right )^{1/2 + \textrm {i} \nu } \frac {e^{\pi \nu / 2} \alpha _1^\dagger x^{- \textrm {i} \nu }}{\varGamma (1/2 - \textrm {i} \nu )} \right ] \nonumber \\ &\quad\times \frac { (U_0 - U) \omega _n N^2}{U^2} \hat {h} \left ( \frac {\omega _n}{U} \right ) J_n \left ( \frac {n U_T}{U} \right )\nonumber \\ &\quad\times\frac {\textrm {i}^{1/2} x^{- 1/2} e^{\textrm {i} \omega _n x / U}}{D(\omega _n / U, \omega _n)} + o\big ( x^{-1/2} \big ) ,\\[6pt]\nonumber \end{align}
where an asymptotic formula in Appendix C is used. Note that the exponents on
$x$
in (4.11) match those reported by Camassa & Viotti (Reference Camassa and Viotti2013), who dealt with time-periodic but unforced disturbances in a stratified shear flow. The present study demonstrates that a forced problem solved with a different asymptotic approach yields consistent results.
A marked difference of (4.11) from the standing-mode wave solutions (4.6) is found in their spatial structure. The present solutions exhibit algebraic dependence on
$x$
. Furthermore, owing to the factor
$U(z)$
, the solution is not separable into the
$x$
- and
$z$
-dependent parts. As a result,
$\psi$
,
$\psi _z$
and
$\psi _{zz}$
obey different power laws. The perturbations of velocity, density and vertical shear exhibit the dependence on
$x \gg 1$
roughly as
While velocity and density decay, the velocity gradient grows far from the topography. Figure 6 illustrates the asymptotic formula (4.11a ). Notably, the structure of the solution differs from that in the single-wavenumber case. Now, the equiphase curves are almost straight and there does not exist a level where the solution is discontinuous. The angle of the equiphase lines varies in the horizontal direction, reflecting the increase of the vertical wavenumber and, consequently, the growth of the velocity gradient.
The algebraic dependence of the asymptotic solutions in (4.12) can be interpreted in terms of conservation of wave activity (pseudomomentum), a quadratic invariant associated with horizontal translation symmetry. A formal definition and the corresponding conservation law are given later in § 5.2; here, we use only the qualitative implication that, once the disturbance has left the forcing region, the pseudomomentum carried by the wave field is conserved during propagation. In the far field, pseudomomentum is dominated by the product of the density perturbation and the vorticity,
$\rho _1 {\nabla} ^2 \psi _1/N^2$
(up to subdominant correction terms), so if
$\rho _1$
decays, it must be compensated by the growth of
${\nabla} ^2 \psi _1$
. Because
$w_1$
decays much faster than
$u_1$
, the term
$w_{1x}$
in
${\nabla} ^2 \psi _1=-u_{1z}+w_{1x}$
is subdominant and, hence,
${\nabla} ^2 \psi _1 \approx -u_{1z}$
. Consequently, pseudomomentum conservation suggests
$\rho _1 u_{1z}=\mathcal{O}(1)$
as
$x\to \infty$
, consistent with (4.12).
By contrast, wave energy
$E$
and enstrophy
$({\nabla} ^2 \psi _1)^2$
are not conserved in a stratified shear flow. Indeed, (4.12) tells that the energy decreases while the enstrophy increases with
$x$
. Here, a difference from a single wavenumber solution is worth noting; for a singular solution (4.3), the power laws around the critical level are
$\vert w_1 \vert \propto \vert z - z^c \vert ^{1/2}$
,
$\vert u_1 \vert , \vert \rho _1 \vert \propto \vert z - z^c \vert ^{-1/2}$
and
$\vert u_{1z} \vert \propto \vert z - z^c \vert ^{-3/2}$
. Accordingly, the wave energy density algebraically grows towards the critical level. On the other hand, for the present regular solution (4.11) composed of a continuous range of wavenumbers, the wave energy density decays during the horizontal propagation. In either case, because the velocity shear grows during propagation, waves will eventually break, resulting in energy dissipation.
In addition to
$k = (\omega _n + \textrm {i} r) / U(z)$
, the integrand of the Fourier integral involves other branch points at
$k = (\omega _n + \textrm {i} r) / U(0)$
and
$k = (\omega _n + \textrm {i} r) / U(1)$
. Differing from the above-mentioned result, their contributions for a large
$\vert x \vert$
are separable with respect to
$x$
and
$z$
. This study does not discuss the contributions to the solutions from these points.
5. Energy conversion rates
In the previous section, we derived stationary solutions for internal waves generated over localised, small-amplitude topography. In this setting, mechanical energy is continuously converted from the prescribed barotropic motions (a steady current and an oscillatory tide) to baroclinic disturbances. The goal of the present section is to quantify this barotropic-to-baroclinic conversion rate in a form suitable for mixing and wave-drag parametrisations.
To derive a consistent conversion-rate budget, we first note that the definition of energy – and, in particular, the partition between background and disturbance energies – is, in general, reference-frame dependent in wave–mean-flow interaction theory (Bühler Reference Bühler2014). Accordingly, we work in the frame moving with the oscillatory barotropic flow, as introduced in § 2. This choice is especially convenient here because it allows the contributions of the steady current and of the tidal forcing to the conversion rate to be identified and evaluated separately. We begin by establishing the corresponding total energy budgets from the fully nonlinear equations in this co-moving frame.
In the standard no-shear setting (resting background), the energetics is straightforward: the baroclinic energy is the sum of kinetic energy and available potential energy, which is quadratic in the wave amplitude and locally conserved in the inviscid limit. The conversion rate can then be evaluated directly from the radiated internal-wave energy flux away from the topography (Pétrélis et al. Reference Pétrélis, Llewellyn Smith and Young2006).
The situation changes once a steady background flow with vertical shear is present: internal waves exchange energy and momentum with the mean flow during propagation. As a result, the wave energy alone does not form a closed budget and defining a net barotropic-to-baroclinic conversion rate requires accounting for the mean-flow work as well as the radiated wave flux. Lamb & Dunphy (Reference Lamb and Dunphy2018) discussed this issue in a closely related setting and proposed an energy-flux expression for the radiating discrete modes. However, an energy conversion formula applicable to singular modes associated with critical-layer processes has not yet been established, motivating the following theoretical development.
In § 5.1, we examine the energetics of our model, and derive a general conversion-rate expression that incorporates contributions from both the discrete and continuous spectra. To represent the mean-flow contribution in a compact and physically interpretable manner, in § 5.2, we make use of the wave-activity diagnostics of pseudomomentum and pseudoenergy. Finally, in § 5.3, focusing on the stationary response considered in § 4, we obtain an explicit formula for the time-averaged conversion rate (5.28) and evaluate it numerically for a representative configuration, separating the contributions from the discrete and continuous spectra.
5.1. Total energy budgets
We consider the fully nonlinear model (2.5) applied with the non-dimensionalisation in § 2.2. For this system, the total amounts of kinetic energy and potential energy in the frame moving with the oscillating barotropic flow are represented by
\begin{align} \mathcal{E}_K & = \iint _{\epsilon h}^1 \left [ \frac {1}{2}\left ( U - \frac {\partial \psi }{\partial z} \right )^2 + \frac {1}{2} \left ( \frac {\partial \psi }{\partial x} \right )^2 \right ] \,\text{d}z \,\text{d}x \end{align}
respectively, where the lower bound of the vertical integration
$\epsilon h$
depends on
$x$
and
$t$
, and a sufficiently large extent is taken in the horizontal direction to cover the whole range in which the disturbance exists. The total density is constituted of the laminar reference part and the disturbances as
$\rho _{tot} = \rho _0(z) + \rho (x,z,t)$
with
$\rho _{0z} = - N^2$
understood.
We shall expand the total energy equations (5.1) in terms of
$\epsilon$
. First, the integrand of the kinetic energy is expanded to obtain
\begin{align} \mathcal{E}_K = \iint _{\epsilon h}^1 \frac {U^2}{2} \,\text{d}z \,\text{d}x + \epsilon \iint _{\epsilon h}^1 U u_1 \,\text{d}z \,\text{d}x + \epsilon ^2 \iint _{\epsilon h}^1 \left ( \frac {u_1^2 + w_1^2}{2} + U u_2 \right ) \,\text{d}z \,\text{d}x + \mathcal{O}(\epsilon ^3) , \end{align}
where
$u_1 = - \partial _z \psi _1$
,
$w_1 = \partial _x \psi _1$
and
$u_2 = - \partial _z \psi _2$
are introduced. To remove the dependence on
$\epsilon$
of the integration interval, we use a formula valid for an arbitrary analytic function
$f(z)$
,
where
$\delta$
is the Dirac delta function. Consequently, the kinetic energy (5.2) is represented as the integration over a rectified domain as
\begin{align} \mathcal{E}_K & = \int _0^1 \frac {U^2 \left \langle 1 - \epsilon \delta (z) h \right \rangle }{2} \,\text{d}z + \epsilon \int _0^1 U \left \langle u_1 \right \rangle \,\text{d}z \nonumber \\ &\quad + \epsilon ^2 \int _0^1 \left ( \left \langle \frac {u_1^2 + w_1^2}{2} \right \rangle + U \left \langle u_2^\ast \right \rangle \right ) \,\text{d}z + \mathcal{O}(\epsilon ^3) , \end{align}
in which the horizontal integration is denoted by
$\left \langle \ \right \rangle \equiv \int \,\text{d}x$
and the second-order horizontal velocity is redefined as
Note that the additional terms represent the volume transport associated with the corrugation in the bottom boundary. If
$\left \langle h \right \rangle$
were to vanish, the horizontal average of these terms would correspond to the so-called bolus velocity – a residual transport induced by the correlation between velocity and fluid thickness (this kind of transport for topography-generated internal waves is hinted in the footnote on p. 135 of Bühler (Reference Bühler2014)).
The first term on the right-hand side of (5.4) does not depend on time and is unimportant. To evaluate the second term, we shall integrate (2.11a
) over
$x$
to obtain
$\partial _t \partial _z \left \langle u_1 \right \rangle = 0$
, i.e.
$\partial _z \left \langle u_1 \right \rangle$
is constant in time. It is natural to choose the initial condition such that
$\partial _z \left \langle u_1 \right \rangle = 0$
, which yields, from (2.12),
$\left \langle u_1 \right \rangle = [ U(0) - U_T \cos \omega _T t ] \left \langle h \right \rangle$
. We thus understand that the second term on the right-hand side of (5.4) is also determined by the reference state and irrelevant to the wave dynamics. It is enough to concentrate our attention on the remaining
$\mathcal{O}(\epsilon ^2)$
terms.
In physical oceanography, it is widely known (e.g. Vallis Reference Vallis2017) that the potential energy in (5.1b ) can be separated into a constant part and a varying part, referred to as the background potential energy and the available potential energy, respectively. We present its detailed derivation in Appendix D and write the final result here as
\begin{align} \mathcal{E}_{P} = \mathcal{E}_{BP} + \epsilon ^2 \int _0^1 \left \langle \frac {\rho ^2_1}{2 N^2} \right \rangle \,\text{d}z + \mathcal{O}( \epsilon ^3 ) , \end{align}
where
$\mathcal{E}_{BP}$
is a constant.
Combining (5.2), (5.4) and (5.6), we represent the total amount of energy in a single expression as
where
$\mathcal{E}_B$
is an unimportant part and can be ignored. In the remaining terms, we have defined
which is a quadratic function of the
$\epsilon$
-order disturbance amplitude and the common definition of the energy density of internal gravity waves. The other part in (5.7),
$\int _0^1 U \big \langle u_2^\ast \big \rangle \,\text{d}z$
, belongs to the energy contained in the horizontal mean flow. Variation in this energy can be regarded as feedback to the mean flow from the deviations. Importantly, wave energy
$E$
is not conserved in shear flow, but, as follows from its definition, the summation of the two terms of disturbance energy,
$\left \langle E \right \rangle + U \big \langle u_2^\ast \big \rangle$
, should be conserved in the absence of an external force.
We shall investigate the energy variations in the system induced by the topographic forcing. First, multiplying
$-\psi _1$
to (2.11a
) and
$\rho _1 / N^2$
to (2.11b
), combining them, and performing the horizontal integration, we derive
In this expression,
$\left \langle u_1 w_1 \right \rangle$
appearing on the right-hand side stands for the Reynolds stress, i.e. the vertical flux of the horizontal momentum. Through this term, waves exchange energy with the horizontal mean flow. Next, performing the horizontal integration to the horizontal part of equations in (2.5a
) and collecting the
$\epsilon ^2$
-order terms, we derive an equation governing the variations in the mean flow as
Here,
$P$
denotes the difference in the pressure
$p_2$
between
$x = - \infty$
and
$x = \infty$
, and is uniform in the vertical direction; because the fluid is motionless sufficiently far from the localised topography, a hydrostatic balance is maintained there and the pressure deviation from the reference state does not depend on the depth. This pressure force is essential to fulfil the constraint of the net volume transport. That is, expanding (2.7) in terms of
$\epsilon$
and collecting the second-order terms, we derive
$\int u_2^\ast \,\text{d}z = 0$
, which combined with (5.10) yields
where we have used
${\rm d} \big \langle h^2 \big \rangle / \text{d}t = 0$
. This expression represents the horizontal momentum balance in the whole system; the first two terms represent the form stress exerted by the bottom topography, which is compensated by the ambient pressure gradient to keep the net volume transport constant.
Even though the barotropic transport of the mean flow is prescribed by the reference state, the baroclinic part of the mean flow can be accelerated/decelerated by the convergence of the Reynolds stress as (5.10), and its reaction performs work on wave motion through the right-hand side of (5.9). Combining the two equations in (5.9) and (5.10), we may describe the energy balance at each depth as
The physical interpretation of the second term on the left-hand side is drawn from the horizontal momentum equation,
$- \partial _t \partial _z \psi _1 = \partial _t u_1 = - U \partial _x u_1 - U_z w_1 - \partial _x p_1$
, and the integration by parts; this term represents the divergence of energy flux composed of pressure work and kinetic energy advection, i.e.
Vertically integrating (5.12), using (5.11) and taking into account the correction term at the bottom in (5.5), we write down the net production rate of disturbance energy as
with
where we have written the barotropic velocity as
$\overline {U} \equiv \int _0^1 U \,\text{d}z$
. The third term in the middle expression of (5.14) represents the variations in the kinetic energy associated with the volume transport on the varying boundary. This term owes its existence to the vertical gradient of the steady flow; if
$U$
is uniform,
$U_{z=0} - \overline {U}$
identically vanishes. In this form, the difference between the barotropic velocity and the velocity at the bottom demands a minor modification in the energy budget of the whole system. In any case, a long-term average of this term inevitably vanishes for a solution whose amplitude is bounded all the time. Therefore, volume transport induced by the corrugated topography makes no contributions to the net energy conversion from barotropic to baroclinic components. In the remaining terms of (5.14), as elucidated in (5.13),
$\mathcal{P}^{(T)}$
stands for the vertical energy flux from the bottom and accounts for the energy supply from the oscillatory barotropic tide. In contrast,
$\mathcal{P}^{(S)}$
corresponds to the pressure work done by the steady flow.
5.2. Pseudomomentum and pseudoenergy
As we have seen, the second-order horizontal velocity,
$u^\ast _2$
, plays a key role in the energetics. Unlike the other first-order quantities, this variable is difficult to directly obtain. Nonetheless, its horizontal integration,
$\big \langle u^\ast _2 \big \rangle$
, can be diagnosed based on the other variables by use of the concept of pseudomomentum. Adding the bottom-correction term to that formulated by Shepherd (Reference Shepherd1990), let us define the pseudomomentum density (the present definition of
$\textsf {p}$
involves only Eulerian variables and it differs from the pseudomomentum density in the generalised Lagrangian mean theory. For a plane wave limit, averaged over a phase, the two definitions will coincide (Bühler Reference Bühler2014)) as
which is a quadratic quantity in terms of
$(h, \psi _1, \rho _1)$
. The horizontal integration of
$\textsf {p}$
follows a similar form of the equation as for
$\big \langle u_2^\ast \big \rangle$
; specifically, from (2.11),
for
$z \neq 0$
is established. Comparing this to (5.10), we learn that the two equations differ only by the vertically uniform pressure force
$P$
. Given that
$P$
is determined from a constraint
$\int _0^1 u_2^\ast \,\text{d}z = 0$
, we come up with a relevant quantity for the pseudomomentum by projecting
$\textsf {p}$
to the baroclinic component, i.e.
$\textsf {p} - \int _0^1 \textsf {p} \,\text{d}z \equiv \textsf {p}'$
. Consequently,
$\big \langle \textsf {p}' \big \rangle$
is shown to obey the same equation as
$\big \langle u_2^\ast \big \rangle$
. Therefore, neglecting the difference in their initial conditions, the
$\epsilon ^2$
-order modification in the horizontal mean velocity,
$\big \langle u_2^\ast \big \rangle$
, is identified as the baroclinic part of the pseudomomentum,
$\big \langle \textsf {p}' \big \rangle$
.
In addition to the pseudomomentum density, it is also informative to define the two kinds of pseudoenergy density as
$\textsf {e} = E + U \textsf {p}$
and
$\textsf {e}' = E + U \textsf {p}'$
. Note that the original definitions
$\textsf {p}$
and
$\textsf {e}$
are the locally conserved quantities – obeying (5.17) and
for
$z \neq 0$
. However, to discuss the production rate of the disturbance energy, the modified form of pseudoenergy
$\textsf {e}'$
is more relevant because its volume integral coincides with the
$\epsilon ^2$
-order disturbance energy defined in (5.7). It is enlightening to write the equivalence of three forms of energy representation,
The final expression as well as (5.17) and (5.18) provide another physical interpretation for (5.14) and (5.15);
$\mathcal{P}^{(T)}$
and
$\mathcal{P}^{(S)}$
stand for the vertical flux of pseudoenergy and pseudomomentum multiplied by minus the barotropic velocity, both of which are injected at the bottom, respectively. The disturbance energy generated on the bottom at the rate of
$\mathcal{P}$
is partitioned into the wave part,
$\int _0^1 \left \langle E \right \rangle \,\text{d}z$
, and the mean flow part,
$\int _0^1 U \big \langle \textsf {p}' \big \rangle \,\text{d}z$
. The mean flow is then accelerated at a rate of
$\partial _t \big \langle u_2^\ast \big \rangle = \partial _t \big \langle \textsf {p}' \big \rangle$
at each depth via the convergence of the Reynolds stress and the barotropic pressure force. Even though the volume integral of
$\textsf {p}'$
is identically
$0$
, this quantity plays the role of vertical redistribution of momentum through the Reynolds stresses.
Before concluding this subsection, we highlight a marked contrast in energetics between two typical scenarios of topographic wave generation with distinct horizontal boundary conditions: the unbounded system analysed in this study versus a system with periodic boundary conditions. In the atmospheric context, the periodic conditions are more relevant, as the primary focus is often on the interactions between bottom-generated waves and a planetary-scale zonal mean flow. Under such conditions, the pressure gradient integrated across the zonal direction vanishes, leading to variations in the total volume transport in response to momentum injection at the bottom boundary. The acceleration rate of the mean flow at each altitude can be evaluated using the temporal evolution of the zonally integrated pseudomomentum,
$\left \langle \textsf {p} \right \rangle$
. Similarly, variations in the total energy correspond directly to changes in the pseudoenergy,
$\int \left \langle \textsf {e} \right \rangle \,\text{d}z$
. However, if the bottom topography is stationary (i.e. in the absence of oscillatory barotropic forcing), the amount of pseudoenergy for bottom-generated waves is null. It is because, in such a case, the energy conversion from the steady current to wave motion via topographic interactions represents an internal redistribution of energy within the coupled wave-mean flow system. Consequently, this conversion is not reflected in the pseudoenergy production rate. This outcome is a well-established result in lee wave generation theory (e.g. Bühler Reference Bühler2014, p. 136). In contrast, in a horizontally unbounded system, as considered in this study, the energetic framework fundamentally differs due to the presence of a net pressure force acting far from the bottom topography. That is to say, a steady flow can sustain the generation of internal waves without losing its energy, supported by an external pressure force applied to the system.
5.3. Energy conversion rate for a stationary state
We now examine the disturbance energy production rate, as specified by (5.14) and (5.15), for a stationary state considered in § 4. Given that all variables are periodic with period
$T \equiv 2 \pi / \omega _T$
, the net energy production rate is quantified by averaging over time. The disturbance motions conceptually involve both the barotropic and baroclinic components. However, since the barotropic velocity is prescribed by the reference state, its energy remains bounded. Consequently, the time-averaged energy production rate essentially represents the conversion rate from the barotropic energy in the reference state to the baroclinic energy in disturbances.
To inspect the contribution from the steady flow part
$\mathcal{P}^{(S)}$
, we first focus on the topographic form stress, which is equivalent to the pseudomomentum input or minus the ambient pressure force, as shown in (5.11). Using Parseval’s theorem, we may write the time-averaged form stress as
\begin{align} \frac {1}{T}\int _0^T (-P) \,\text{d}t = \frac {1}{T} \int _0^T \left \langle u_1 w_1 \right \rangle _{z=0}\, \text{d}t = \sum _{n = -\infty }^\infty\!\tau _n . \end{align}
An explicit expression for the form stress of the
$n$
th harmonic component is found by inserting the modal expansion (3.1) and (4.1) in
$\left \langle u_1 w_1 \right \rangle$
with a condition
$\hat {\psi }_{1n}(z; k, r) = \hat {\psi }^\dagger _{1-n}(z; - k, r)$
, leading to
\begin{align} \tau _n & = \lim _{r \to 0} \Re \left [ \frac {\textrm {i}}{2\pi } \int k \hat {\psi }^\dagger _{1n} \frac {\partial \hat {\psi }_{1n}}{\partial z}\, {\rm d} k \right ]_{z=0} \nonumber \\ & = \lim _{r \to 0} \frac {1}{2 \pi } \int k \big \vert \hat {\psi }_{1n}(0; k) \big \vert ^2 \Im \left [ \frac {- A_{1z}(0; k, \omega _n + \textrm {i} r)}{D(k, \omega _n + \textrm {i} r)} \right ] \,\text{d}k , \end{align}
where the second equality stems from the definition of
$\hat {\psi }_{1n}$
in (4.2), its bottom condition is
$\hat {\psi }_{1n}(0; k) = (k U_0 - \omega _n) \hat {h}(k) J_n(k U_T / \omega _T) / k$
,
$A_1$
is defined in (A4) and
$D(k, \sigma )= A_1(0; k, \sigma )$
is understood. The integrand is finite when
$\omega _n$
belongs to the continuous part of the spectrum
$\varSigma ^c_k$
and we shall invert this condition to write
$k \in K^c_{\omega _n}$
. For
$k \notin K^c_{\omega _n}$
, since
$A_1$
is real in the limit of
$r \to 0$
, the integrand vanishes almost everywhere. The exceptional points are the zeros of
$D$
, i.e. the discrete parts of the spectrum,
$K^d_{\omega _n}$
. Using (4.5a
), contributions from these points can be evaluated by using the formula
\begin{align} \lim _{r \to 0} \Im \frac {- 1}{2 \pi D(k, \sigma + \textrm {i} r)} = \sum _j \frac {\delta (k - k_j)}{2 \big \vert c_j^g (\sigma ) \big \vert D_\sigma (k, \sigma )} , \end{align}
which is valid for
$k \notin K^c_\sigma$
. Here, we have used
\begin{align} D(k, \sigma + \textrm {i} r) & = D(k, \sigma ) + \textrm {i} r D_\sigma (k, \sigma ) + \mathcal{O}(r^2) \nonumber \\ & = (k - k_j) F(k, \sigma ) + \textrm {i} r D_\sigma (k, \sigma ) + \mathcal{O}(r^2) \end{align}
with
$F = D_k$
at
$k = k_j$
understood and a formula of a nascent delta function
The form stress for the
$n$
th harmonic component (5.21) is consequently represented as
\begin{align} \tau _n & = \sum _{k_j \in K^d_{\omega _n}} k_j \chi _j (\omega _n) \big \vert \hat {\psi }_{1n}(0; k_j) \big \vert ^2 + \frac {1}{2 \pi } \int _{K^c_{\omega _n}} k R(k, \omega _n) \big \vert \hat {\psi }_{1n}(0; k) \big \vert ^2 \,\text{d}k \end{align}
with
The two functions
$\chi _j$
and
$R$
play the roles of transforming a prescribed boundary condition of
$\psi$
at
$z=0$
to the vertical wave action flux at the bottom. Here, wave action is regarded as the pseudomomentum divided by the wavenumber. A more common definition of the wave action would be the wave energy divided by the intrinsic frequency – wave frequency observed in a frame moving with a background current. Indeed, this classical definition also applies to the present case, but care should be taken that the background current is not uniform. This point will be discussed in § 6. We shall call
$\chi _j$
and
$R$
the action production coefficients for the discrete and continuous spectra, respectively.
With the harmonic decomposition of the form stress in hand, the time-averaged energy conversion rate from the steady background flow to the baroclinic motion follows directly as
$(1/T) \int _0^T \mathcal{P}^{(S)} \, \text{d}t = -\overline {U} \sum _{n = -\infty }^\infty \tau _n$
. Similarly, the time-averaged energy conversion rate from the barotropic tide to the baroclinic motion, or equivalently the pseudoenergy production rate, is written as
$(1/T) \int _0^T \mathcal{P}^{(T)} \, \text{d}t = \sum _{n = -\infty }^\infty \mathcal{P}^{(T)}_n$
with
\begin{align} \mathcal{P}^{(T)}_n = \sum _{k_j \in K^d_{\omega _n}} \omega _n \chi _j (\omega _n) \big \vert \hat {\psi }_{1n}(0; k_j) \big \vert ^2 + \frac {1}{2 \pi } \int _{K^c_{\omega _n}} \omega _n R(k, \omega _n) \big \vert \hat {\psi }_{1n}(0; k) \big \vert ^2 \,\text{d}k . \end{align}
This expression makes clear that the pseudoenergy flux is given by the wave frequency multiplied by the wave-action flux, consistent with the standard pseudoenergy–action relation. In particular, the pseudoenergy production rate of the zero-frequency component vanishes identically,
$\mathcal{P}^{(T)}_0 = 0$
; for this mode, the baroclinic motion is driven solely by the steady background flow and the oscillatory tidal forcing does not contribute energetically, a general consequence of the pseudoenergy-based framework (Bühler Reference Bühler2014). Note that the form stress can remain finite even for the zero-frequency component.
Combining the steady and tidal contributions, we obtain the total time-averaged barotropic-to-baroclinic energy conversion rate,
$(1/T) \int _0^T \mathcal{P} \, \text{d}t = \sum _{n = -\infty }^\infty \mathcal{P}_n$
, with
\begin{align} \mathcal{P}_n & = \sum _{k_j \in K^d_{\omega _n}} \left ( \omega _n - \overline {U} k_j \right ) \chi _j (\omega _n) \big \vert \hat {\psi }_{1n}(0; k_j) \big \vert ^2 \nonumber \\ & + \frac {1}{2 \pi } \int _{K^c_{\omega _n}} \left ( \omega _n - \overline {U} k \right ) R(k, \omega _n) \big \vert \hat {\psi }_{1n}(0; k) \big \vert ^2 \,\text{d}k . \end{align}
By analogy with the pseudomomentum or pseudoenergy flux, one might be tempted to interpret (5.28) as a wave-energy flux written as an intrinsic frequency times an action flux. However, this interpretation is generally incorrect because
$\omega _n - \overline {U} k$
is not an intrinsic frequency unless
$U(z)$
is uniform. It is important to remember that
$(1/T)\int _0^T \mathcal{P} \, \text{d}t$
represents the barotropic-to-baroclinic energy conversion rate, not the wave-energy production rate.
Returning to (5.26), the discrete-spectrum coefficient
$\chi _j$
depends on the group velocity
$c_j^g$
. If
$c_j^g$
happens to vanish,
$\chi _j$
diverges, and the form stress and the conversion rate become unbounded within inviscid linear theory. Aside from this special case, the time-averaged conversion rate is finite and time independent. In an unbounded domain, the injected disturbance energy is carried away by radiating motions towards
$x=\pm \infty$
; consequently, the total disturbance energy integrated over the domain grows linearly in time.
This constant-rate growth can be interpreted as a quasi-resonant response of a spatially unbounded system to spatially localised forcing. As discussed in § 3.4, for each fixed horizontal wavenumber
$k$
, the Taylor–Goldstein equation admits a discrete set of regular eigenfrequencies, say
$\sigma =\sigma _j(k)$
. As
$k$
varies, these eigenfrequencies depend continuously on
$k$
, forming dispersion curves in the
$(k,\sigma )$
plane. Because localised topography excites a continuum of horizontal wavenumbers, a given forcing frequency
$\omega _n$
can interact with these dispersion curves at isolated wavenumbers
$k_j$
satisfying
$D(k_j,\omega _n)=0$
(i.e.
$k_j\in K^d_{\omega _n}$
). When the intersection is regular (non-vanishing group velocity), each contribution remains finite and the forcing supplies energy at a constant rate. Colin de Verdiëre & Saint-Raymond (Reference Colin De Verdiëre and Saint-Raymond2020) referred to this mechanism as quasi-resonance and contrasted it with a genuine resonance, in which the energy grows faster than linearly so that a time-independent conversion rate is not defined. The divergence of
$\chi _j$
at
$c_j^g=0$
corresponds to the onset of this resonant behaviour.
To illustrate the conversion-rate formula (5.28), figure 7 shows numerical evaluations for a simple background state. We take uniform stratification
$N=1$
and a linear shear flow
$U(z)=0.05+0.15z$
, together with a barotropic tide of amplitude
$U_T=0.2$
and frequency
$\omega _T=0.2$
. The topography is chosen as an extremely narrow ridge; accordingly, its Fourier transform is nearly flat and, for simplicity, we set
$\hat {h}(k)=1$
in the computation. We evaluate separately the contributions associated with the tidal and steady-current parts, and further split each into the discrete- and continuous-spectrum contributions. Harmonics up to
$n=2$
are retained (
$n=0,1,2$
). For the discrete spectrum, we also separate left- and right-propagating contributions according to the sign of the horizontal group velocity
$c^g$
. In this example, a substantial contribution comes from the discrete modes of the zero-frequency component (
$n=0$
), i.e. lee waves. For the tide-frequency component (
$n=1$
), the upstream-propagating branch (
$c^g\lt 0$
) is stronger than the downstream-propagating branch (
$c^g\gt 0$
), consistent with the numerical simulations of Lamb & Dunphy (Reference Lamb and Dunphy2018).
Numerically computed energy conversion rates for the parameter set described in the text (
$N=1$
,
$U(z)=0.05+0.15z$
,
$U_T=0.2$
,
$\omega _T=0.2$
and
$\hat {h}(k)=1$
). (a) Spectrum of the operator
$\unicode{x1D648}_k$
: red and blue curves show the discrete spectrum (dispersion curves of regular eigenmodes), while the magenta shading indicates the continuous spectrum. The dashed line corresponds to
$\sigma /k=\overline {U}=0.125$
(phase speed equal to the barotropic velocity). Horizontal dotted lines indicate the forcing frequencies
$\sigma = \omega _n$
for
$n=1,2$
; the blue dot marks an upstream-propagating intersection with the discrete spectrum (
$c^g\lt 0$
). (b) Integrand of the continuous-spectrum contribution in (5.28) for
$n=1$
, separated into the tidal part, the steady-current part and their sum. The vertical dashed line indicates
$k=\omega _1/\overline {U}$
. (c) Contributions to the conversion rates from the discrete and continuous spectra for
$n=0,1,2$
. Discrete-spectrum contributions are further divided into left- (
$c^g\lt 0$
) and right-propagating (
$c^g\gt 0$
) components. For
$n=1,2$
, the plotted values are multiplied by 2 to include the equal contributions from the negative harmonics
$n=-1, -2$
(i.e.
$\mathcal{P}_{-n}=\mathcal{P}_n$
).

Although the net contribution from the continuous spectrum is small in this example, this does not imply that the critical-level (singular) response is negligible. Rather, the tidal and steady-current parts contribute comparably, but with opposite signs, leading to a strong cancellation. This is illustrated in figure 7(b), which plots the integrand of the continuous-spectrum contribution to (5.28) for
$n=1$
. Over the integration interval, the tidal part (proportional to
$\omega _n$
) is positive whereas the steady-current part (proportional to
$-\overline {U}k$
) is negative, because
$R(k,\omega _n)\gt 0$
. Their magnitudes cross at
$k=\omega _n/\overline {U}$
(vertical dashed line), where the sum changes sign. For the second harmonic (
$n=2$
), the discrete-spectrum contribution is smaller and the continuous-spectrum contribution becomes more prominent; although the two parts still oppose each other, their individual magnitudes are larger than in the
$n=1$
case. This trend suggests that continuous-spectrum effects become increasingly important for higher-frequency forcing. Notably, in classical no-shear formulations (e.g. Khatiwala Reference Khatiwala2003), the spectrum is purely discrete and no continuous-spectrum (critical-layer) contribution arises. The present results suggest that this discrete-mode-only approximation can miss an important part of the conversion budget when background shear is present, especially at higher harmonics.
In the previous computations,
$A_1$
and
$D$
in (A4) and (A7) were evaluated using the closed-form expressions derived in Appendix B. For the continuous spectrum, the calculation can be streamlined by expressing
$A_1(z;k,\sigma )$
in terms of a pair of linearly independent solutions
$\gamma ^\pm (z;k,\sigma )$
of the Taylor–Goldstein equation (Appendix A). When the Richardson number at the critical level is large,
$N^2/U_z^2\gg 1/4$
at
$z=z^c$
, the connection rule (A10) implies
$|\gamma ^+(0)|\gg |\gamma ^-(0)|$
, whereas
$|\gamma ^+(1)|=|\gamma ^-(1)|$
. Accordingly, the action production coefficient can be approximated by
which is essentially insensitive to the upper boundary condition. Physically, when the Richardson number at the critical level is large, incident waves are mostly absorbed and do not reflect back towards the bottom, so the problem approaches the classical unbounded setting. Indeed, setting
$U_0=0$
and applying a WKB approximation near
$z=0$
yields
$\gamma ^+ \propto e^{\textrm {i} m z}$
with
$m=-|k|\sqrt {N^2-\sigma ^2}/\sigma$
. One then finds
$\sigma R_\infty \approx |k|\sqrt {N^2-\sigma ^2}$
for
$|\sigma |\lt N$
, so that the continuous-spectrum term in (5.27) reduces to (5.3) of Bell (Reference Bell1975). A similar insensitivity to the upper boundary has been noted in finite-depth viscous problems when strong dissipation prevents reflection (Shakespeare & Hogg Reference Shakespeare and Hogg2017; Shakespeare, Arbic & Hogg Reference Shakespeare, Arbic and Hogg2021). In oceanographic applications, Bell’s unbounded formula is often used to estimate the generation of short-wavelength lee waves (Legg Reference Legg2021); the present analysis provides a rationale for this practice. Nevertheless, whether turbulent mixing can be parametrised based solely on such elementary lee-wave theory remains debated, as discussed in the next section.
6. Discussion
The central result in the present study is the explicit formula for the barotropic-to-baroclinic energy conversion rate (5.28), which warrants further discussion in light of similar formulae found in the literature. In previous studies that addressed internal wave generation over a seafloor topography forced by vertically uniform flow (e.g. Khatiwala Reference Khatiwala2003; Nikurashin & Ferrari Reference Nikurashin and Ferrari2010), the energy conversion rate was shown to equal the energy flux composed as a product of pressure and vertical velocity at the bottom. If the reference flow
$U(z)$
is uniform, our formulation is in line with this result; in such a special situation, as inferred from (5.13) and (5.15), the Reynolds stress terms in
$\mathcal{P}$
are cancelled out so that
$\mathcal{P} = \left \langle p_1 w_1 \right \rangle _{z=0}$
is recovered. For general cases with
$\overline {U} \neq U_0$
, however, the barotropic-to-baroclinic energy conversion rate
$\mathcal{P}$
does not coincide with the vertical pressure work. This discrepancy would be reconciled by replacing the barotropic velocity
$\overline {U}$
in (5.14) with the velocity at the bottom
$U_0$
to define a modified form of the energy production rate
The corresponding time-averaged energy production rate for the
$n$
th tidal harmonic is obtained by replacing
$\overline {U}$
with
$U_0$
in (5.28). With this choice, the modified energy production rate coincides with the action flux multiplied by the intrinsic frequency at the bottom, suggesting an interpretation of
$\mathcal{P}'$
as the flux of wave energy
$\left \langle E \right \rangle$
. Figure 8 demonstrates a modified energy conversion rate
$\mathcal{P}'$
(averaged over time) for the same parameter setting as figure 7. Due to the replacement of
$\overline {U}$
with
$U_0$
, the steady flow contribution is reduced. As a result, the continuous spectrum part makes a marked positive contribution, in contrast to the original energy conversion rate
$\mathcal{P}$
shown in figure 7(c).
Numerically computed modified conversion rates
$\mathcal{P}'$
defined by (6.1) averaged over time, for the same parameter setting as in figure 7. (a) Integrand of the continuous-spectrum contribution for
$n=1$
, separated into the tidal part, the steady-flow part and their sum. (b) Contributions to the conversion rates from the discrete and continuous spectra for
$n=0,1,2$
.

Energy conversion formulae similar to (6.1) have been used by Nikurashin & Ferrari (Reference Nikurashin and Ferrari2011) and Shakespeare (Reference Shakespeare2020) to estimate the internal-wave energy radiating away from the seafloor topography forced by geostrophic and tidal flows. However, there remains a concern that the energy production rate defined in (6.1) depends only on flow quantities evaluated at the bottom boundary, whereas the present analysis highlights the potential importance of the full vertical structure of the steady shear flow in the energetics of bottom-generated internal gravity waves. To find the proper definition of the energy conversion rate in shear flow, we should keep in mind that the central motivation for this task is to quantify the amount of energy available for vertical mixing. From this viewpoint, defining the energy production rate in reference to the velocity at the bottom can lead to some errors as the waves exchange the energy with the steady flow during the vertical propagation. Kunze & Lien (Reference Kunze and Lien2019) clarified this point and argued that the energy exchange between waves and mean flows might explain the significant overestimation of the energy dissipation rates in the Southern Ocean predicted by the conventional formula of the lee-wave theory. For the accurate estimation of the wave energy available for mixing, the best definition of the energy production rate would be the one that replaces
$\overline {U}$
in (5.14) with the velocity at a level where wave dissipation takes place, though identifying this level remains a significant challenge.
In the following, we list other limitations of the current study and discuss possible future directions to address them. First, this study employs a two-dimensional model assuming homogeneity in one horizontal direction. We may readily extend the formulation for a three-dimensional model as far as the reference flow varies only in the vertical direction. In that case, for each horizontal wave vector of the generated waves, projecting the horizontal velocity in the same direction as the wave vector, we may derive a solution in the same manner as the two-dimensional case. Second, we have restricted our study to the case where
$U_z$
is positive. This assumption was necessary to perform the Frobenius series expansion of the singular solution around a critical level, with the leading-order term specified by (A8). If there exists a level where
$U_z$
changes sign, we need special treatment there. Bouchet & Morita (Reference Bouchet and Morita2010) considered this kind of problem for a homogeneous fluid and found an interesting vorticity depletion phenomenon. Applying their asymptotic approach to a stratified fluid case remains to be done.
Third, we have assumed that the topographic height is small to derive a set of linear equations. In fact, even for a finite-size topography, as far as the tidal excursion is small (i.e. the higher tidal harmonics are negligible), we may derive a linear equation system. A number of previous works solved that problem in the absence of a background flow using the Green function method (e.g. Pétrélis et al. Reference Pétrélis, Llewellyn Smith and Young2006; Echeverri & Peacock Reference Echeverri and Peacock2010) or, more recently, a coupled-mode system (CMS) (Papoutsellis et al. Reference Papoutsellis, Mercier and Grisouard2023). In both approaches, previous studies expanded a solution into a countable number of regular functions, each of which solves a Sturm–Liouville equation derived from an elementary problem with flat-bottom topography. However, once a sheared reference flow is included, a solution can no longer be represented as a superposition of regular functions. In the special case of constant shear and stratification, Engevik (Reference Engevik1971) proved that any solution can be represented as the combination of the sum over a countable set of discrete functions and integration over singular functions. Nonetheless, it is uncertain whether one may evaluate the improper integral involved in Engevik’s formula efficiently on a computer via an algorithm analogous to the existing Green function or CMS method. Moreover, for a finite-height topography case, a steady shear flow can exist above the top of the topography and formulae for a constant shear flow problem are not applicable. Wave generation with finite-height topography in the presence of a surface-intensified steady flow is the situation numerically investigated by Masunaga et al. (Reference Masunaga, Uchiyama and Yamazaki2019) to clarify interactions of Kuroshio and tidal flow over a ridge off the south coast of Japan. We point out that tilting wave phases visible at the downstream side in figure 6 of Masunaga et al. (Reference Masunaga, Uchiyama and Yamazaki2019) and also figure 1 of Lamb & Dunphy (Reference Lamb and Dunphy2018) resemble that of figure 6 in the present paper. A recent observation study has reported significant energy dissipation downstream of a tall seamount located in Kuroshio and partly ascribed it to the wave–flow interactions (Takahashi et al. Reference Takahashi, Lien, Kunze, Ma, Nakamura, Nishina, Tsutsumi, Inoue, Nagai and Endoh2024). Although the actual situations are much more intricate, the critical-layer process for bottom-generated internal waves, as elucidated in this paper, may ubiquitously occur, leading to intense energy dissipation and mixing in the ocean.
Fourth, and most importantly, a challenging problem arises if we consider an actual ocean condition that involves Earth’s rotation. Generally, in a rotating stratified fluid, a steady horizontal flow with vertical shear is associated with a horizontal density gradient according to the thermal wind balance. The present-style vertical two-dimensional model makes sense only when the vertical gradient of the steady flow,
$U_z$
, is constant. Eigenmodes in such a sheared rotating stratified fluid were investigated in numerous studies, and it is known that there exist eigenfrequencies possessing positive imaginary parts, i.e. unstable modes, across a wide range of Richardson numbers (Eady Reference Eady1949; Stone Reference Stone1966; Nakamura Reference Nakamura1988; Molemaker et al. Reference Molemaker, McWilliams and Yavneh2005). Furthermore, a transient non-modal growth in wave energy can occur more efficiently than modal counterparts (Heifetz & Farrell Reference Heifetz and Farrell2003; Zemskova, Passaggia & White Reference Zemskova, Passaggia and White2020). In such situations, tidally forced waves are expected to be amplified during propagation, extracting energy from the steady flow and eventually breaking, leading to significant energy dissipation. In this regard, Maitland-Davies & Bühler (Reference Maitland-Davies and Bühler2025) developed a Green-function formulation of the steady lee-wave problem under the assumption that the modal spectrum is neutrally stable. Extending such an approach to settings that admit unstable modes, and to problems with time-periodic tidal forcing, remains to be established. If removing the thermal wind balance while retaining the Coriolis effect, we may consider another relevant situation in which a background flow oscillates with the inertial period. Indeed, a recent numerical study of Hibiya et al. (Reference Hibiya, Tanaka, Nagai and Hirano2024) reported prompt dissipation of tidally forced internal waves through the interaction with near-inertial current shear. We consider the generation of internal waves in unstable or unsteady shear flows to be an intriguing topic deserving of analytical investigation in future studies.
7. Conclusions
To summarise, this study discussed internal wave generation on small bottom topography forced by a barotropic tide in the presence of a vertically sheared steady flow. The main objective of the current study was to derive an explicit formula for the barotropic-to-baroclinic energy conversion rate. Conventional studies discussing waves in a static reference state represent this energy conversion rate as a summation over a countable number of discrete eigenmodes that compose a complete set of solutions. Once we include a steady shear flow, the discrete eigenmodes are no longer complete, and we need to take into account singular solutions associated with a critical level. To elucidate this point, we applied the Fourier transform in the horizontal direction and focused on a linear operator that characterises the temporal evolution of an unforced system. The general solution obtained via the Laplace transform involves the resolvent of this operator, whose singularity condition determines the spectrum of the operator. While the ordinary eigenmodes correspond to an infinite number of simple poles, a critical level produces a branch point parametrised by a frequency, as elucidated through the detailed inspection of the Taylor–Goldstein equation (Appendix A). Consequently, the spectrum is decomposed into discrete and continuous parts, both of which contribute to the net energy conversion rate.
We also demonstrated the asymptotic behaviours of the solutions far from a localised bottom topography. The contributions from the discrete spectrum conform to our expectation that they produce standing wave trains with constant amplitude. However, contributions from the continuous spectrum produce spatially evolving wave packets, whose amplitude decays while the velocity shear grows algebraically in the horizontal direction. A surprising point is that there is no wave focusing at a particular level, which contrasts sharply with the basic sinusoidal topography case, where wave rays are attracted to a critical level determined by the forcing frequency and the horizontal wavenumber. In the present case, the localised topography generates a continuum of Fourier modes, each associated with its own critical level, preventing wave accumulation at any specific altitude. One could reinterpret this phenomenon as wave accumulation occurring at all levels, far from the topography.
Although we employed a linearised model that governs small amplitude waves to the leading order, we clarified that the next-order component in the velocity plays an essential role in the total energy budget of bottom-generated disturbances. This component represents the feedback from waves to mean flows and can be virtually replaced by the baroclinic part of the pseudomomentum. The pseudomomentum is quadratic with respect to the leading-order wave amplitude and conserved even in the presence of a shear flow. We also introduced the pseudoenergy through a combination of the wave energy and the pseudomomentum multiplied by the reference flow velocity. We then clarified that the net energy conversion rate from barotropic to baroclinic motions coincides with the production rate of pseudoenergy minus the pseudomomentum multiplied by the barotropic velocity.
In the framework of the present inviscid and linear model, the net energy conversion rate is stationary so that the baroclinic energy grows linearly with time, a situation referred to as quasi-resonance. However, there can be an exceptional case when a genuine resonance occurs; if a group velocity of a standing wave mode vanishes by accident, its energy grows superlinearly. There have been a huge number of studies addressing this problem in various contexts by incorporating weak nonlinearity, such as the representative work done by Grimshaw & Smyth (Reference Grimshaw and Smyth1986). Extending the current formulation to a finite-amplitude model is left to a future study.
In conclusion, this paper made clear the roles of the continuous spectrum inherent in a steady shear flow in the generation of internal gravity waves by oscillatory forcing. While primarily motivated by oceanic applications, this study lays a solid foundation for exploring wave–mean-flow interactions in oceans, atmospheres and astrophysical flows driven by periodic forcing. A major challenge moving forward is the integration of rotational effects, which significantly influence wave dynamics in these systems.
Acknowledgements
The authors express their gratitude to Anubhab Roy and Patrice Le Gal for their informative comments at the early stage of this work. The authors thank three anonymous reviewers, Takashi Ijichi and Ryosuke Nakashima for carefully reading the manuscript and providing helpful comments. The authors used ChatGPT 5.2 Pro (OpenAI, accessed from a web browser on February 24th, 2026) to assist with improving the clarity and readability of the manuscript. All scientific content and interpretations remain the responsibility of the authors.
Funding
This study was supported by JSPS Overseas Research Fellowship and KAKENHI Grant Number JP20K14556. This work was supported in part by the Collaborative Research Program of Research Institute for Applied Mechanics, Kyushu University.
Declaration of interests
The authors report no conflict of interest.
Data availability statement
The Python scripts used to generate the results presented in this study are publicly available in a GitHub repository at https://github.com/yonuki-models/tide-internal-wave-shear.git.
Appendix A. Resolvent and spectrum of
$\unicode{x1D648}_k$
This section inspects the resolvent of the operator
$\unicode{x1D648}_k$
in detail to learn the locations of the spectrum and the behaviour of solutions around a critical level. Here, we extend the domain of functions with respect to
$z$
to the complex plane
$\mathbb{C}$
by assuming
$N(z)$
and
$U(z)$
as analytic functions. This hypothesis is essential for identifying singular points
$z$
in the complex plane that arise for a given complex frequency
$\sigma$
.
A.1 Resolvent
To derive the explicit form of the resolvent of
$\unicode{x1D648}_k$
defined in (3.8), the first step is to consider
where
$\sigma$
is a complex scalar,
$\boldsymbol{f}(z) = (f_1, f_2)$
is a prescribed function and
$\boldsymbol{v}(z) = (v_1, v_2)$
is a variable to be determined. An element of the matrix
$\unicode{x1D648}_k$
involves an integral operator
${\nabla} _k^{-2}$
whose explicit form is given by
Introducing a streamfunction-like variable
$\phi (z) \equiv {\nabla} ^{-2}_k v_1$
, we may transform the vectorial integral (A1) into a scalar differential equation. A straightforward manipulation leads to
where
$\mathcal{T}_{k,\sigma }$
is defined in (3.12), with the homogeneous boundary conditions
$\phi (0) = \phi (1) = 0$
. To write down the solution of this equation, we first define two functions
$\gamma ^\pm (z; k, \sigma )$
that are a pair of linearly independent solutions of a homogeneous Taylor–Goldstein equation,
$\mathcal{T}_{k,\sigma } \gamma = 0$
, without boundary conditions. Then, two functions
$A_0(z; k, \sigma )$
and
$A_1(z; k, \sigma )$
are defined as
which satisfy
$\mathcal{T}_{k,\sigma } A_{0, 1} = 0$
with one-side boundary conditions,
$A_0(0) = 0$
and
$A_1(1) = 0$
. The general solution of (A3) is then written as
where
$W \equiv A_0 A_{1z} - A_{0z} A_1$
is the Wronskian of
$A_0$
and
$A_1$
. Accordingly,
$\boldsymbol{v}$
is represented in terms of
$\boldsymbol{f}$
as
$\boldsymbol{v} = (\sigma \unicode{x1D644} - \unicode{x1D648}_k)^{-1} \boldsymbol{f}$
with
A series of expressions, (A3)–(A6), defines the resolvent of
$\unicode{x1D648}_k$
.
A.2 Spectrum
The spectrum of
$\unicode{x1D648}_k$
is defined by the condition that the norm of
$\boldsymbol{v}_k$
is unbounded for some
$\boldsymbol{f}$
that has a finite norm. It seems natural here to choose a norm based on wave energy density as
$\lVert \boldsymbol{v} \rVert \equiv \int _0^1 (- v_1^\dagger {\nabla} _k^{-2} v_1 + \vert v_2 \vert ^2 / N^2) \,\text{d}z = \int _0^1 (k^2 \vert \phi \vert ^2 + \vert \phi _z \vert ^2 + \vert v_2 \vert ^2 / N^2) \,\text{d}z$
. We explore the boundedness of
$\lVert \boldsymbol{v} \rVert$
depending on
$\sigma$
for a prescribed
$k$
. For simplicity, here, we assume
$k \gt 0$
, but the following consideration immediately applies to
$k \lt 0$
by switching the signs of both
$k$
and
$\sigma$
.
A.2.1 Discrete part
By inspection of (A5), we first notice that the resolvent is unbounded when the Wronskian
$W$
vanishes. We rewrite
$W$
in terms of the fundamental solutions
$\gamma ^\pm$
to decompose it into two factors,
$W = W^\gamma D$
, with
Because
$\gamma ^+$
and
$\gamma ^-$
are linearly independent,
$W^\gamma$
does not vanish. The other factor
$D$
, which is a function of
$k$
and
$\sigma$
, determines the zeros of
$W$
. This
$D$
is related to
$A_{0,1}$
by
$D = A_1(0) = - A_0(1)$
. If
$D(k, \sigma ) = 0$
,
$A_0$
and
$A_1$
satisfy both the upper and bottom boundary conditions. Therefore, they become the eigenfunctions of the Taylor–Goldstein equation, and for a prescribed
$k$
,
$\sigma$
is the corresponding eigenfrequency. From the Miles–Howard theorem, all the eigenvalues are real in the present problem. As a consequence, the zeros of
$D(k, \sigma )$
for an arbitrary
$k$
are located on the real axis.
The eigenvalues of the Taylor–Goldstein equation have upper and lower bounds. This is verified by considering the case when
$\vert \sigma \vert \gg 1$
. In this limit, we derive
$\mathcal{T}_{k,\sigma } \gamma \sim \gamma _{zz} - k^2 \gamma = 0$
, and a solution is a combination of exponential functions. Obviously, it cannot satisfy the top and bottom boundary conditions simultaneously.
A.2.2 Eigenvalues are absent between
$kU(0)$
and
$kU(1)$
We discuss the locations of eigenvalues more closely. Let us assume that
$\sigma$
is a complex number within and close to a line segment
$k U(0) \leq \sigma \leq k U(1)$
. In this case, a singular point
$z = z^c \in \mathbb{C}$
that satisfies
$k U(z^c) = \sigma$
is located in the vicinity of a line segment,
$0 \leq z \leq 1$
. We shall expand solutions of
$\mathcal{T}_{k,\sigma } \gamma ^\pm = 0$
around
$z^c$
using the Frobenius method, which enables us to choose the two solutions as
where
$\nu = (\left . N^2 / U_z^2 \right \vert _{z = z^c} - 1/4)^{1/2} \gt 0$
, and
$K^\pm$
(z) are analytic functions satisfying
with
$S(z)$
defined by
$S = (U - \sigma / k) / (z - z^c)$
.
If
$z^c$
is real, (A9) is symmetric with respect to taking the complex conjugate and reversing the double signs. Consequently, we can write
$K^\pm$
using a single function
$K(z)$
as
$K^- (z) = K (z)$
,
$K^+ (z) = \textrm {i} [ K(z^\dagger ) ]^\dagger$
, where an imaginary factor is placed for convenience so that
$A_1$
and
$D$
become real functions when
$z^c$
is outside
$[0, 1]$
as verified from (A4) and (A7), and the following rule (A10). Note that
$K(z)$
will not be 0 for any real
$z$
. Otherwise,
$\gamma ^\pm = 0$
holds there, contradicting the completeness of the solutions. Because
$z = z^c$
is a branch point of (A8), there are two ways to connect the regions
$z \lt z^c$
and
$z \gt z^c$
along the real axis. As we learn from figure 2 and (3.14), the physically relevant situation is when
$\sigma$
approaches the real axis with the imaginary part positive. From the condition
$U_z\gt 0$
, together with the definition
$k U(z^c) =\sigma$
, this corresponds to the situation where
$z^c$
approaches the real axis with the imaginary part positive. Accordingly, we shall choose the Riemann sheet such that
\begin{align} (z - z^c)^{1/2 \pm \textrm {i} \nu } = \begin{cases} \lvert z - z^c \rvert ^{1/2} e^{\pm \textrm {i} \nu \log \lvert z - z^c \rvert } & (z - z^c \gt 0) \\ - \textrm {i} e^{\pm \pi \nu } \lvert z - z^c \rvert ^{1/2} e^{\pm \textrm {i} \nu \log \lvert z - z^c \rvert } & (z - z^c \lt 0) \end{cases} \end{align}
on the real axis. It is convenient to define two functions,
$\tilde {\gamma }^- (z) = \lvert z - z^c \rvert ^{1/2 - \textrm {i} \nu } K(z), \tilde {\gamma }^+ (z) = \textrm {i} \lvert z - z^c \rvert ^{1/2 + \textrm {i} \nu } [ K(z^\dagger ) ]^\dagger$
.
When
$0 \lt z^c \lt 1$
,
$D$
cannot be
$0$
because
Therefore, no eigenvalue
$\sigma$
is found in the range
$kU(0) \leq \sigma \leq k U(1)$
.
A.2.3 An infinite number of eigenvalues accumulate around
$kU(0)$
and
$kU(1)$
Next, we assume
$z^c$
is located slightly below
$0$
, i.e.
$\sigma$
is slightly smaller than
$kU(0)$
. In this case, we can write
$\lvert z^c \rvert = (k U(0) - \sigma ) [(k U_z(0))^{-1} + \mathcal{O}(k U(0) - \sigma ) ]$
and, therefore,
where
$C$
and
$\vartheta$
are continuous at
$\sigma = kU(0)$
. Because the argument of the sine function diverges in the limit of
$\sigma \to k U(0)$
, we learn that
$\sigma = kU(0)$
is an accumulation point of the eigenvalues; we may find a zero of
$D$
in any vicinity of
$\sigma = kU(0)$
. The same consideration also applies slightly above
$\sigma = k U(1)$
. We thus understand that an infinite number of eigenvalues are involved in
$\sigma \lt kU(0)$
and
$\sigma \gt kU(1)$
, respectively.
A.2.4 Eigenvalues are simple
Let us show that all the eigenvalues are simple roots of
$D$
. In other words, the derivative of
$D$
satisfies
$D_\sigma (k, \sigma _0) \neq 0$
for every eigenvalue
$\sigma = \sigma _0$
. The proof is given by extending the Howard (Reference Howard1961) stability theorem. We define
$G(z, c) = (U - c)^{- 1/2} A_1$
with
$c \equiv \sigma / k$
and rewrite
$\mathcal{T}_{k,\sigma } A_1 = 0$
as
$ [ (U-c) G_z ]_z + [ - U_{zz}/2 + (N^2 - U_z^2 / 4) / (U - c) - k^2 (U - c) ] G = 0$
. Multiplying
$G^\dagger$
to this expression and integrating it over
$0 \leq z \leq 1$
, we derive an equation,
\begin{align} &- \Big [ (U - c) G_z G^\dagger \Big ]_{z = 0} - \int _0^1 (U - c) \lvert G_z \rvert ^2 \,\text{d}z \nonumber\\ &\quad+ \int _0^1 \left [ - \frac {U_{zz}}{2} + \frac {N^2 - U_z^2 / 4}{U - c} - k^2 (U - c) \right ] \lvert G \rvert ^2 \,\text{d}z=0 . \end{align}
The usual stability theorem results by setting
$G(0, c) = 0$
to argue that the imaginary part of
$c$
is 0. Now, we pick up an eigenvalue
$\sigma _0 \in \mathbb{R}$
, and accordingly
$c_0 = \sigma _0 / k$
, and add a small imaginary perturbation such that
$c = c_0 + \textrm {i} \delta$
with
$\delta \gt 0$
. Inserting
$G(z, c) = G(z, c_0) + \textrm {i} \delta G_c(z, c_0)+ \mathcal{O}(\delta ^2)$
into (A13) and taking the imaginary part, we derive
\begin{align} &\delta \left [ U(0) - c_0 \right ] G_z(0, c_0) G^\dagger _c (0, c_0)\nonumber\\ &\quad+ \delta \int _0^1 \left [ \lvert G_z (z, c_0) \rvert ^2 + \left ( \frac {N^2 - U_z^2 / 4}{\lvert U - c_0 \rvert ^2} + k^2 \right ) \lvert G (z, c_0) \rvert ^2 \right ] \,\text{d}z = \mathcal{O}(\delta ^2) , \end{align}
where
$G(0, c_0) = 0$
is used. Because
$N^2 / U_z^2 \gt 1/4$
is assumed, the second term on the left-hand side is positive. Therefore, the first term cannot vanish, thus yielding
$G_c(0, c_0) \neq 0$
. Accordingly, the expected result,
\begin{align} D_\sigma (k, \sigma _0) & = A_{1\sigma } (0; k, \sigma _0) = k^{-1} \frac{\text{d}}{\text{d}c} \Big \{ \left [ U(0) - c \right ]^{1/2} G(0, c) \Big \}_{c = c_0} \nonumber \\ & = k^{-1} G_c(0, c_0) \left [ U(0) - c_0 \right ]^{1/2} \quad \left [ \because G(0, c_0) = 0 \right ] \nonumber \\ & \neq 0 \end{align}
is obtained.
To summarise, the eigenvalues of
$\unicode{x1D648}_k$
are defined as the simple roots of
$D(k, \sigma )$
and accordingly yield simple poles in the resolvent
$(\sigma \unicode{x1D644} - \unicode{x1D648}_k)^{-1}$
. We can align them to write
$\sigma _1^- \lt \sigma _2^- \lt \cdots \lt kU(0) \lt kU(1) \lt \cdots \lt \sigma _2^+ \lt \sigma _1^+$
for a positive
$k$
. Each
$\sigma _j^-$
(
$\sigma _j^+$
) is a function of
$k$
that represents the dispersion relation of the eigenmode travelling leftward (rightward) relative to the reference steady current.
A.2.5 Continuous part
As seen from (A6), even when
$\phi$
is everywhere finite,
$\boldsymbol{v}$
diverges at a specific point
$z = z^c$
if
$\sigma - kU(z^c) = 0$
holds somewhere in
$0 \leq z^c \leq 1$
. To inspect this singularity more closely, we assume that
$z^c \neq 0, 1$
and
$\boldsymbol{f}$
is continuous at
$z = z^c$
. We then expand the solution of (A3) around it taking into account (A8),
which with (A6) accordingly yields
$v_1 \sim (z - z^c)^{- 3/2 \pm \textrm {i} \nu }$
and
$v_2 \sim (z - z^c)^{-1/2 \pm \textrm {i} \nu }$
. Clearly,
$\lVert \boldsymbol{v} \rVert$
is unbounded for this solution.
Different from the eigenvalue case, even though the norm is divergent,
$\boldsymbol{v}(z) = (\sigma \unicode{x1D644} - \unicode{x1D648}_k)^{-1} \boldsymbol{f}$
can be computed for
$z \neq z^c$
as far as (A5) is integrable at
$\zeta = z^c$
. If
$z^c \neq 0, 1$
and
$\boldsymbol{f}$
is sufficiently smooth at
$\zeta = z^c$
, the improper integral can be carried out for
$z \neq z^c$
by taking the Hadamard finite part. Otherwise, the integration is divergent so that
$\boldsymbol{v}(z)$
is undefinable for a broad range. To see the global divergence in
$\boldsymbol{v}$
more specifically, we consider a limit
$z^c \to 0$
, i.e.
$\sigma$
approaching an endpoint of the line segment,
$kU(0)$
. Setting
$z^c \gtrsim 0$
in (A16) and assuming the continuity of
$\boldsymbol{f}$
, from the boundary condition
$\phi (0) = 0$
, we have
For this condition to be satisfied, the coefficients should behave as
$\lvert a^\pm \rvert \propto (z^c)^{- 1/2}$
unless
$f_2(0) = 0$
. Accordingly,
$\phi (z)$
diverges over a broad range in the limit of
$z^c \to 0$
. Note that this issue is not relevant to the tidally forced problem as the forcing function,
$\hat {\boldsymbol{f}}_{\!n}$
in (3.7), is identically
$0$
at
$z = 1$
and vanishes at
$z = 0$
in the limit
$z^c \to 0$
, i.e.
$\omega _n \to k U_0$
.
In the end, we have learned that a line segment
$\{ \sigma \vert \sigma = kU(z), 0 \leq z \leq 1 \}$
belongs to the spectrum of
$\unicode{x1D648}_k$
. Physically, this continuous part of the spectrum determines the condition for a critical level existing somewhere in the system. At this level, the wave energy becomes infinite so that the stationary solution is undefinable.
Appendix B. Uniform shear and stratification case
For an elementary case of uniform background shear and stratification, an exact expression is available. Specifically, we shall set
$N = 1$
and
$U = U_0 + (U_1 - U_0) z$
with
$0 \lt U_1 - U_0 \lt 2$
. For this problem, by introducing
$Z \equiv (kU - \sigma ) / (U_1 - U_0)$
, two solutions of
$\mathcal{T}_{k, \sigma } \gamma ^\pm = 0$
can be represented as
where
$\nu = \sqrt {1 / (U_1 - U_0)^2 - 1 / 4}$
, and
$I_\mu$
is the modified Bessel function of the
$\mu$
th order, whose expansion at the origin is
\begin{align} I_\mu (Z) = \sum _{m=0}^\infty \frac {1}{m! \varGamma (m + \mu + 1)} \left ( \frac {Z}{2} \right )^{2m + \mu } . \end{align}
The pair of expressions (B1) satisfies (A8) at a critical level if it exists.
The vertical structure function for the one-sided boundary value problem is
where
$Z_1 = (k U_1 - \sigma ) / (U_1 - U_0)$
is defined. Accordingly, we also have
with
$Z_0 = (k U_0 - \sigma ) / (U_1 - U_0)$
. Around a critical level
$z = z^c = (\sigma - k U_0) /{} [ k (U_1 - U_0) ]$
, (B3) is expanded in the form (4.3), with
This expression is used to produce figure 6.
Appendix C. Asymptotic formula of a Fourier integral
We consider a Fourier integral,
where
$x \gt 0$
,
$f(k)$
is an analytic function, and
$\alpha$
and
$\beta$
are complex constants. The integration contour
$C$
is illustrated in figure 9. We change the integration variable as
$k = \beta + \textrm {i} q / x$
to write
\begin{align} \mathcal{I} & = \frac {\textrm {i} e^{\textrm {i} \beta x}}{2 \pi x^{\alpha + 1}} \int _C e^{-q} f \left ( \beta + \frac {\textrm {i} q}{x} \right ) (\textrm {i} q)^\alpha \,\text{d}q \nonumber \\ & = \frac {e^{\textrm {i} \beta x}}{2 \pi } \sum _{m = 0}^\infty \int _C \frac {\textrm {i} e^{-q} f^{(m)} \left ( \beta \right ) (\textrm {i} q)^{\alpha + m} }{m! x^{1 + \alpha + m}} \,\text{d}q \nonumber \\ & = \frac {e^{\textrm {i} \beta x}}{2 \pi } \sum _{m = 0}^\infty \frac {\textrm {i}^{1 - \alpha - m} f^{(m)} \left ( \beta \right )}{m! x^{1 + \alpha + m}} \int _C e^{-q} (-q)^{\alpha + m} \,\text{d}q \nonumber \\ & = \sum _{m = 0}^\infty \frac {\textrm {i}^{- \alpha - m} f^{(m)} \left ( \beta \right ) e^{\textrm {i} \beta x}}{m! \varGamma (- \alpha - m) x^{1 + \alpha + m}} , \end{align}
where Hankel’s formula (e.g. Bender & Orszag (Reference Bender and Orszag2013), (6.6.22))
for the Gamma function
$\varGamma (z)$
has been used.
Integration contour of (C1).

When
$\alpha = 0, 1, 2, \ldots$
, we have
$\mathcal{I} = 0$
. Otherwise,
is established for a large
$x$
.
Appendix D. Derivation of the available potential energy
This section describes how to separate the total potential energy in (5.1) into a constant background part and the deviation from it, namely, the available potential energy, and makes explicit its leading-order term. First, we change the integration variable as
\begin{align} \iint _{\epsilon h}^1 z \rho _{tot} \,\text{d}z \,\text{d}x & = \iint _{\epsilon ^2 h^2 / 2}^{1/2} \rho _{tot} \text{d} \left ( \frac {z^2}{2} \right ) \,\text{d}x \nonumber \\ & = \int \left ( \frac {\rho _{min}}{2} - \frac {\epsilon ^2 h^2 \rho _{max}}{2} \right ) \,\text{d}x + \iint _{\rho _{min}}^{\rho _{max}} \frac {Z^2}{2} \text{d} \rho ' \,\text{d}x , \end{align}
where a function
$z = Z(x, \rho ', t)$
is defined as the inverse of
$\rho ' = \rho _{tot}(x, z, t)$
by assuming
$\partial _z \rho _{tot} \lt 0$
everywhere holds, and
$\rho _{min} \equiv \rho _{tot}(x, 1, t) = \rho _0(1)$
and
$\rho _{max} \equiv \rho _{tot}(x, \epsilon h, t) = \rho _0(0)$
are understood.
Next, we define the inverse of
$\rho ' = \rho _0 (z)$
as
$z = Z_0 (\rho ')$
and introduce a variable
$\eta (x, \rho ', t)$
denoting the vertical displacement of an isopycnal surface as
Inserting the second expression into (D1), we derive
\begin{align} \iint _{\epsilon h}^1 z \rho _{tot} \,\text{d}z \,\text{d}x & = \underbrace {\int \left ( \frac {\rho _{min}}{2} - \frac {\epsilon ^2 h^2 \rho _{max}}{2} \right ) \,\text{d}x + \iint _{\rho _{min}}^{\rho _{max}} \left ( \frac {Z_0^2}{2} + Z_0 \eta \right ) \text{d} \rho ' \,\text{d}x}_{\textrm{background potential energy}} \nonumber \\ & + \underbrace {\iint _{\rho _{min}}^{\rho _{max}} \frac {\eta ^2}{2} \text{d} \rho ' \,\text{d}x}_{\textrm{available potential energy}} . \end{align}
The first two terms denoted by the background potential energy (more strictly, the background potential energy would be the possible minimum amount of potential energy reached by an adiabatic relocation of fluid elements. Our formulation does not fit in this definition as the third term on the right-hand side of (D3) cannot vanish due to the non-flat bottom boundary. This issue is not essential within the scope of the current study) do not vary with time. To prove it, because the temporal dependence of
$h$
can be removed through a translational coordinate transform as inferred from (2.12) and
$Z_0$
depends only on
$\rho '$
, it is enough to inspect the temporal variation of
$\int \eta \,\text{d}x$
. Now, we consider the amount of fluid volume with a density greater than
$\hat {\rho }$
, represented by
where
$\mathcal{H}$
is the Heaviside function. Due to the material conservation of
$\rho _{tot}$
, it is easy to verify that
$\mathcal{M}(\hat {\rho })$
is invariant for any choice of
$\hat {\rho }$
. We change an integration variable of (D4) from
$z$
to
$\rho '$
via
$z = Z(x, \rho ', t) = Z_0(\rho ') + \eta (x, \rho ', t)$
to write
\begin{align} \mathcal{M} & = - \iint _{\rho _{min}}^{\rho _{max}} \mathcal{H}\left ( \rho ' - \hat {\rho } \right ) \frac {\partial Z}{\partial \rho '} \,{\rm d} \rho ' \,\text{d}x \nonumber \\ & = \int Z_0 (\hat {\rho }) \,\text{d}x - \epsilon \int h \,\text{d}x + \int \eta (x, \hat {\rho }, t) \,\text{d}x , \end{align}
where we have applied the integration by parts and used the fact that a derivative of the Heaviside function turns into the delta function and a condition
$Z (x, \rho _{max}, t) = \epsilon h$
. It is obvious that the first two terms in the second line of (D5) are constant. Accordingly,
$\int \eta (x, \rho ', t) \,\text{d}x$
is also an invariant for an arbitrary choice of
$\rho '$
.
We shall expand the available potential energy, the final term in (D3), in terms of
$\epsilon$
. Let us first write
$\eta = \epsilon \eta _1 + \epsilon ^2 \eta _2 + \cdots$
and insert it into the first expression of (D2), whose expansion is
$\rho ' = \rho _0 (Z_0 + \eta ) + \epsilon \rho _1(x, Z_0 + \eta , t) + \mathcal{O}(\epsilon ^2)$
, to derive
which results in
Therefore, changing the integration variable from
$\rho '$
to
$z = Z_0(\rho ')$
, we may write the leading-order term of the available potential energy as
to arrive at the expression (5.6).




k
𝙈k
Σkd
ωn
σ∈Σkd
σ
σ>kU(1)
ωn
kU(0)
kU(1)
γ±(0)
γ±(1)
kU(z)
γ±(z)
z
kU(0)
kU(1)
Σkc
σ∈[kU(0),kU(1)]
𝙈k
N=1
U=0.15z
D(k,σ)=0
A1(z;k,σ)eikx
x
k=kr+iki
eikx=eikrx−kix
x
r→0
x
k′=(ωn+ir)/U(z)
U>0
z∈[0,1]
U<0
𝙈k
N=1
U=0.05+0.15z
cjg
ψ1
∂zψ1
∂z2ψ1
N=1
U=0.5z
n=1
ωT=1
UT=0.1
h^=1
h=δ(x)
α
N=1
U(z)=0.05+0.15z
UT=0.2
ωT=0.2
h^(k)=1
𝙈k
σ/k=U¯=0.125
σ=ωn
n=1,2
cg<0
n=1
k=ω1/U¯
n=0,1,2
cg<0
cg>0
n=1,2
n=−1,−2
P−n=Pn
P′
n=1
n=0,1,2