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Articles

Resonant growth of inertial oscillations from lee waves in the deep ocean

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Pages 351-373 | Received 12 Sep 2020, Accepted 18 Oct 2022, Published online: 12 Nov 2022

Figures & data

Figure 1. Numerical setting. A uniform geostrophic current UG flows over a sinusoidal topography of horizontal wavenumber kT and height 2H in a two-dimensional domain with horizontal periodic boundary conditions. Internal lee waves are emitted, as sketched by dashed phase lines, which are damped in a sponge layer of thickness 5000 m starting at 2000 m above topography.

Figure 1. Numerical setting. A uniform geostrophic current UG flows over a sinusoidal topography of horizontal wavenumber kT and height 2H in a two-dimensional domain with horizontal periodic boundary conditions. Internal lee waves are emitted, as sketched by dashed phase lines, which are damped in a sponge layer of thickness 5000 m starting at 2000 m above topography.

Table 1. Summary of the simulations.

Figure 2. Snapshots of the vertical velocity for simulation H40L2 after one inertial period (upper frame) and after 7 inertial periods (lower frame). The same colorbar is used for the two frames, but the maximum value is about three times higher in the lower than in the upper frame. Note the quasi-linear regime in the upper frame and the strongly nonlinear regime in the lower one.

Figure 2. Snapshots of the vertical velocity for simulation H40L2 after one inertial period (upper frame) and after 7 inertial periods (lower frame). The same colorbar is used for the two frames, but the maximum value is about three times higher in the lower than in the upper frame. Note the quasi-linear regime in the upper frame and the strongly nonlinear regime in the lower one.

Figure 3. Temporal evolution of the inertial oscillation (IO) amplitude at about 10 m above the topography top, as a function of time scaled by the inertial period 2π/f. The IO signal was processed through a Lanczos low-pass filter at cutoff frequency f. The spin-up of the simulation, during which the geostrophic current grows from 0 to the value of UG, is not shown (Colour online).

Figure 3. Temporal evolution of the inertial oscillation (IO) amplitude at about 10 m above the topography top, as a function of time scaled by the inertial period 2π/f. The IO signal was processed through a Lanczos low-pass filter at cutoff frequency f. The spin-up of the simulation, during which the geostrophic current grows from 0 to the value of UG, is not shown (Colour online).

Figure 4. Vertical structure of the IO horizontal velocity (upper frame) and of the horizontally-averaged TKE dissipation rate (lower frame) for the simulations displayed in table . All fields are averaged from 12 to 15 inertial periods (Colour online).

Figure 4. Vertical structure of the IO horizontal velocity (upper frame) and of the horizontally-averaged TKE dissipation rate (lower frame) for the simulations displayed in table 1. All fields are averaged from 12 to 15 inertial periods (Colour online).

Figure 5. Variance preserving power spectrum of the horizontal velocity component of the wave field for simulation H20L2 computed at about 600 m above the bottom of the domain, in a frame of reference moving with the geostrophic velocity UG. The wave field encompasses the entire flow, except for the geostrophic flow. The straight line is the confidence level at 99% implying that the spectrum significantly departs from red noise when it exceeds this line. The inertial and buoyancy frequencies and the frequencies predicted by the resonant interaction theory are indicated with a vertical dashed-dotted line. The length of the time series is 15 inertial periods implying that the spectral resolution is 0.01f.

Figure 5. Variance preserving power spectrum of the horizontal velocity component of the wave field for simulation H20L2 computed at about 600 m above the bottom of the domain, in a frame of reference moving with the geostrophic velocity UG. The wave field encompasses the entire flow, except for the geostrophic flow. The straight line is the confidence level at 99% implying that the spectrum significantly departs from red noise when it exceeds this line. The inertial and buoyancy frequencies and the frequencies predicted by the resonant interaction theory are indicated with a vertical dashed-dotted line. The length of the time series is 15 inertial periods implying that the spectral resolution is 0.01f.

Figure 6. Scatter diagram of the growth rate of the IO diagnosed from the simulations, Γsim, versus that computed from the resonant interaction theory, ΓRIT, scaled by the inertial frequency. Simulations for which the inverse of the IO growth rate is smaller than 3 inertial periods are indicated with a filled marker (black or grey). For simulations with empty markers, the inverse of the IO growth rate is larger than 10 inertial periods.

Figure 6. Scatter diagram of the growth rate of the IO diagnosed from the simulations, Γsim, versus that computed from the resonant interaction theory, ΓRIT, scaled by the inertial frequency. Simulations for which the inverse of the IO growth rate is smaller than 3 inertial periods are indicated with a filled marker (black or grey). For simulations with empty markers, the inverse of the IO growth rate is larger than 10 inertial periods.

Figure 7. Time-height diagram of the IO horizontal velocity for H20L2. The slope of the black line is the vertical phase speed of the IO, f/mIO, for the resonant triad involving a wave of frequency UGktf and mIO>0. The horizontal white line indicates the height of 1000 m (Colour online).

Figure 7. Time-height diagram of the IO horizontal velocity for H20L2. The slope of the black line is the vertical phase speed of the IO, f/mIO, for the resonant triad involving a ∗ wave of frequency UGkt−f and mIO>0. The horizontal white line indicates the height of 1000 m (Colour online).

Figure 8. Scatter plot of the IO kinetic energy EIO versus the TKE dissipation rate ϵ integrated over the physical domain D and from 12 to 15 inertial periods. ϵ is scaled by the LW energy flux taken at a height of about 10 m above the topography top and averaged horizontally over the physical domain, denoted Pup. The IO kinetic energy is scaled by Pup during one inertial period 2π/f. Simulations for which the inverse of the IO growth rate is smaller than 3 inertial periods are indicated with a filled marker (black or grey). For simulations with empty markers, the inverse of the IO growth rate is larger than 10 inertial periods. The + and × signs refer to simulations with Coriolis frequency 2f, for which Γ2<0.

Figure 8. Scatter plot of the IO kinetic energy EIO versus the TKE dissipation rate ϵ integrated over the physical domain D and from 12 to 15 inertial periods. ϵ is scaled by the LW energy flux taken at a height of about 10 m above the topography top and averaged horizontally over the physical domain, denoted Pup. The IO kinetic energy is scaled by Pup during one inertial period 2π/f. Simulations for which the inverse of the IO growth rate is smaller than 3 inertial periods are indicated with a filled marker (black or grey). For simulations with empty markers, the inverse of the IO growth rate is larger than 10 inertial periods. The + and × signs refer to simulations with Coriolis frequency 2f, for which Γ2<0.