1. Introduction
The dominant energy source of internal gravity waves in the ocean is attributed to the conversion of barotropic to baroclinic tidal energy by tidal flow over rough topography as described by Bell (1975) and Llewellyn Smith and Young (2002), among others. It is argued that this route provides about 1 TW for ocean mixing (Wunsch and Ferrari 2004), with up to 85% provided by the principal lunar semidiurnal component, the M2 tide (Egbert and Ray 2001). Recent estimates by Falahat et al. (2014) and Vic et al. (2019) point toward somewhat lower values, that is, 0.5 TW, for the first 10 modes of the M2 constituent. The tidal source has tidal frequency and mostly long wavelengths. To enable mixing by overturning of small-scale waves a transfer of baroclinic tidal energy to these small scales in the background wave continuum has to take place. Tidal energy must be supplied to the wave continuum and a downscale transfer in the wave continuum must follow, the mechanism for this route being scale-bridging nonlinear wave–wave interactions. Furthermore, bottom scattering (Müller and Xu 1992) and wave–eddy interactions (Savva and Vanneste 2018) have been addressed. While the barotropic-to-baroclinic conversion, basically a linear process, has recently attracted considerable observational and theoretical research, for example, Nycander (2005), the subsequent downscale transfer is much less investigated. Early work by Olbers (1976), McComas and Bretherton (1977), and Müller et al. (1986) and more recently by Polzin and Lvov (2011) and Eden et al. (2019) showed that wave–wave interactions indeed provide energy to the small-scale overturning waves on time scales of a few days to a week. A similar time scale has been found for wave–eddy scattering (Savva and Vanneste 2018) and scattering of low-mode tidal waves at the continental shelf, whereas bottom scattering in the open deep ocean seems to establish only an inefficient transfer (Kelly et al. 2013), which is in contrast to the role of bottom scattering in the model of Eden and Olbers (2014). On the observational side, using SSH satellite data, Zhao et al. (2016) provide us with a rather small residence time (total energy over total conversion flux) of baroclinic tidal energy of 1–1.5 days, corresponding to an e-folding scale of 400 km for propagation of mode 1 over the World Ocean. This is an extremely small estimate compared to the attenuation scales 750–3000 km found by Alford et al. (2019) from the same data. Nevertheless, a gap remains in this scenario right at the start of the transfer route from tidal energy to small-scale overturning: the damping of the baroclinic tide and the associated energy transfer to the wave continuum. This is the topic of the present study.
Several studies have investigated the interaction of a spectral peak with a background wave continuum (Olbers 1974; Pomphrey et al. 1980; Olbers and Pomphrey 1981) and more recent evaluations have been done by Hibiya et al. (1998), Hibiya et al. (2002), and Eden and Olbers (2014) (note that there was a sign error in their transfer rates) and Onuki and Hibiya (2018). The results of these studies seem quite diverse. Olbers (1974) uses a rather unrealistic box-shaped model spectrum (GM72) of the background internal wave field, while Pomphrey et al. (1980) use a more realistic spectral shape (GM76) but apply a quite severe cutoff with respect to high vertical wavenumbers that are allowed to interact with the tide. The calculation of Olbers and Pomphrey (1981) with this “amputated” background spectrum is for a latitude of 30° where the parametric subharmonic instability (PSI) interactions of the M2 tidal frequency are not possible, missing thus the most important sum interaction and thus all of the PSI process. Scaling of the results to lower latitudes, as discussed in Olbers and Pomphrey (1981) and in Olbers (1983), then only reflects the slow decay with about 100 days for mode 1 and 10 days for mode 10, arising from the difference interactions. Including PSI interactions, Onuki and Hibiya (2018) find a much faster decay of 20 days for mode 1. How this tidal energy spreads over the wave continuum has not yet been investigated but will be presented here.
Since baroclinic tides make up a major source of internal gravity wave energy in the ocean and consequently for mixing, the decay of the tide by PSI has become a paradigm of downscale transfer, in particular because the process was promoted by the numerical experiments of MacKinnon and Winters (2005). These showed an almost catastrophic breakdown of northward propagating baroclinic tides at the critical latitude 28.8° into a pair of near-inertial waves and smaller scale turbulence. A similar more detailed scenario was simulated by Gerkema et al. (2006). Increased dissipation was thus expected near this latitude but substantial attempts to find such signature in observational data have largely failed: though there were some indications of PSI in phase relations there was no catastrophic drain of energy for the tidal motion (Alford et al. 2007; MacKinnon et al. 2013). An exceptional case of increased diapycnal diffusivity south of the critical latitude is reported by Hibiya and Nagasawa (2004) and Hibiya et al. (2007) based on finestructure measurements and parameterization (Gregg 1989). Following MacKinnon and Winters (2005) and other numerical modeling studies the time scale of PSI processes is longer than 2–5 days. The shortest decay time of the lowest-mode internal tides, found by Onuki and Hibiya (2018), is 20 days, which makes the role of PSI rather limited even near the critical latitude. Such values agree with the analytical work of Young et al. (2008).
We start our investigation of baroclinic tidal decay like our predecessors with the kinetic equation for resonant weak wave–wave interactions in a random-phase approximation (see, e.g., Hasselmann 1967b; Olbers 1976; Nazarenko 2011; Olbers et al. 2012). The spectrum for the internal gravity wave field is assumed to consist of a tidal peak on top of a background continuum, assumed here to be of Garrett–Munk (GM) type (Garrett and Munk 1975; Munk 1981). The kinetic equation is separated into the energy balance of the tide and that of the background wave field (section 3). The tidal decay is treated in section 4 and the spreading of tidal energy over the continuum spectrum in section 5. Section 6 opens a global perspective, evaluating the decay rate of baroclinic tides for the World Ocean. The field of internal wave energy used in these calculations is taken from Argo float data, as described in Pollmann et al. (2017). The appendixes contain details of the GM spectral class, the coupling coefficients of the interaction triads and the method of integration of the kinetic equation. A summary and discussion follows in section 7. Because parametric subharmonic instability is a dominant triad interaction in the tidal-background interaction, a short summary of PSI physics is given in section 2.
2. PSI interactions
Parametric subharmonic excitation occurs in many mechanical, electronic and optical oscillatory devices by means of a periodic variation of a parameter of the system (see, e.g., Adler and Breazeale 1971). The system can then oscillate with a frequency equal to one-half of the driving frequency. For water waves a prototype of PSI are internal gravity waves (IWs) because these are prone to nonlinear triad interactions (see, e.g., McEwan and Robinson 1975). IWs have the restriction that their frequency must lie between the local Coriolis f and the local Brunt–Väisälä frequency N. Consider a pump wave candidate with frequency ω0 (say an internal tidal wave) at a latitude φ where1 f = 2Ω sinφ. PSI requires that ω0 > 2f such that ω1 and ω2 exist above f. This defines a critical latitude by ω0 = 4Ω sinφc. If the pump wave is at φ = φc where ω0 = 2f it must decay into two waves of frequency f, a genuine PSI process. If φ > φc, resonant sum interactions are impossible and the wave is stable. If φ < φc, a broad range of triad interactions is possible, always including a PSI process. For the M2 tidal constituent as the pump wave this is equatorward of 28.8° latitude, as shown in Fig. 1. Note that resonant difference interactions are not subject of such a restriction: for the M2 tide they may occur at all latitudes up to the natural bound of propagating tides at 74.5°.
Coriolis frequency f (full), 2f (dashed), and frequency of the tide M2 (dotted) as function of latitude. The full and dashed vertical lines indicate the critical latitude for PSI interaction and that for free propagation of the M2 tide, respectively.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
The situation in a spectrum, the issue of the present study, is not that of an instability. In a spectrum usually all frequencies are populated with waves of finite energy and a PSI interaction is rather a specific type of triad interaction among others in the spectral domain. Any spectral component at frequency ω0 can interact with components at frequencies ω1 and ω2 and energies according to the sum resonance condition ω0 = ω1 + ω2. At ω0 = 2f the only triad partners for sum interaction, however, have frequencies ω1 = ω2 = f. At higher frequencies ω0 > 2f more triad combinations become possible, always including the PSI interaction ω1 = ω2 = ω0/2. PSI interactions, however, are expected to dominate the spectral rate at and a little above ω0 = 2f in GM-type spectra. This is not because of an instability situation but derives from the shape of the frequency distribution of such spectra: the IW energy is located overwhelmingly at near-inertial frequencies, and these waves are the triad partners for PSI in the vicinity of ω0 = 2f. At higher frequencies PSI interactions compete with difference interactions and it must be investigated whether PSI is dominant.
There is one further outstanding point to PSI interactions in a spectral framework. Important for the spectral interaction rate is the range of triad partners that can interact resonantly, loosely speaking the number of interacting triads for a given frequency ω0. For an IW of frequency ω0 and horizontal wavenumber k0 = |k0| the range of wavenumbers k1 of partner triads with frequency ω1 is generally finite (there is a low-wavenumber and a high-wavenumber limit) unless ω1 = ω0/2: then the range of k1 extends to infinity, that is, waves of given (ω0, k0) interact resonantly with waves of frequency ω0/2 in a broad range of scales, actually up to arbitrarily small scales. This property is documented in the present study. It singles out the PSI interaction process in the spectrum. However, it does not immediately imply that PSI should govern the spectral rate of change since there are always difference interactions and sum interactions of non-PSI quality possible.
3. Resonant interactions of a wave continuum with a monochromatic line
Our analysis is performed by representing the internal gravity wave field by three-dimensionally propagating waves, which requires a WKB condition on the typical wavelength and the vertical scale of the background Brunt–Väisälä frequency. This differs from Pomphrey et al. (1980) and Onuki and Hibiya (2018), who used vertically standing modes. Although a valid mathematical representation, we are skeptical of the standing mode description of baroclinic tides because the travel time (bottom to top of the ocean) is of similar magnitude as the nonlinear damping time of the tidal decay, making it hard to form physical modes. As shown in this study, WKB waves yield very similar decay times as the modal waves analyzed in Onuki and Hibiya (2018).
4. Decay of the tidal line
In this section we will discuss the sum and difference interactions of the tidal decay, separating
The integration of λ− and even more so of λ+ is quite cumbersome. First, the domain of integration has a complicated shape. Figure 2 displays cosγ as function of ω1 and k1 for given tidal frequency ω and the particular latitude 18°. The boundary of the domain where resonant interactions can take place are given by the integration limits k1min and k1max, which are functions of ω1. They are defined by the bounding curves cosγ = ±1 in Fig. 2 and can be derived in analytical form. The integrand, which will be discussed in detail in section 5, is singular on the boundaries of the k1 range owing to the factor 1/|sinγ|. At the limiting wavenumbers k1min and k1max we have sinγ = 0, cosγ = ±1. The triad wave vectors are aligned in this case. The singularity goes as
Shown are (top) cosγ for sum and (bottom) difference interaction as a function of y1 = k1/k and ω1/f for mode 1, σ = +, and M2 at latitude 18° for (left) σ1 = − and (right) σ1 = +. The Brunt–Väisälä frequency is fixed. The vertical straight lines for μ = + in the top row mark ω1 = ω/2 (black) and ω1 = ω − f (red). For μ = − in the bottom row, the lines mark ω1 = ω + f (red) and ω1 = 2ω (black). The dashed black lines, common in all figures, indicate ω1 = ω.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
We evaluate the decay rate and the spectral transfer for spectra of GM type (Garrett and Munk 1975; Munk 1981) that have a slope of −2 at high frequency and −s in vertical wavenumber (see appendix B). In particular examples two values of wavenumber slope will be considered, s = 2 and s = 3. The other parameters of the spectra, the total energy E and the wavenumber scale
a. Difference interactions
For difference interactions the line interacts with two waves of higher frequency according to ω = ω1 − ω2 and K = K1 − K2. In Fig. 3 we display the cross section T− of this triad as function of ω1 and k1. It is strongly increasing with wavenumber k1. The integration domain for difference interactions has a cusp at ω1 = 2ω where the lower limit of resonant k1 extends to zero. Note that this is a PSI interaction with ω = ω2 = ω1/2, that is, the triad partner with frequency ω1 is here the pump wave. Integration problems are not expected there since the integration always has a finite range. The GM spectrum is isotropic and symmetric and λ− (as well as λ+) becomes independent of φ.
Interaction cross section T− for difference interactions (in logarithmic scale) at latitude 18° and for mode j = 1. Shown are (left) σ1 = − and (right) σ1 = +.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
We show a calculation of λ− in Fig. 4 for three modes 1, 3, and 10. The background spectrum is GMCL (a GM-type spectrum without inertial cusp, see appendix B). Other spectra are discussed later. The resolution for the integration is 3000 points for k1/k and 2000 points for ω1. Increasing the latter to 5000 points yields almost identical results.4 The integration is thus stable and decay times between 1 (for high modes and low latitudes) and 100 days (for low modes) are obtained. Note that the slope s = 3 produces negative λ− at higher latitudes, indicating that there the line grows at the expense of the background wave continuum. It is found that the decay time 1/λ− is generally much larger than the tidal period
Decay rate (× tidal period
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
b. Sum interactions
For the sum interaction the line interacts with two waves with lower frequencies ω1, ω2 < ω according to ω = ω1 + ω2 and K = K1 + K2. Contrary to the difference interaction, which may yield negative λ−, the sum interaction always has a positive definite λ+. Note that the integration domain for λ+ goes to zero when ω approaches 2f and vanishes for ω < 2f (for M2 north at latitudes higher than 28.8°). Sum interactions of the tide with the internal wave continuum are only possible equatorward of this critical latitude. Continuum partners of the resonant triad are, however, not only near-inertial waves but all waves with frequencies ω1 above the local value of f and below ω − f. At a latitude close to the critical latitude this range is becoming increasingly narrow. A complication may occur with the frequency part of the GM spectrum when the critical latitude is approached: the triad partners then reach frequencies very close to f, where GM76 becomes singular (the integral is still finite). For this reason, to test for stability of the integration, we shall first take the cuspless GMCL for simplicity where the enhanced inertial peak is absent (see appendix B).
Everywhere in the integration domain, as for λ−, we have an integrable singularity on the rim where sinγ goes to zero. These singularities are treated as before for the difference interaction by analytical means. In Fig. 5 the cross section T+ for sum triads is displayed (for mode number j = 1 and both signs of m1). Unlike T− the cross section T+ generally increases with decreasing wavenumbers k1. Note that there is a PSI resonance at the frequency ω1 = ω/2. Here the test wave with frequency ω decays into two waves of half the frequency. The cross section T+ is generally small at high wavenumbers in this PSI tongue of the integration domain and the integrand does not gather much power either. Still, exactly at the PSI resonance ω1 = ω/2, the k1 integral extends to infinity and—depending on the spectral slope of the background spectrum—a singular behavior could happen. Figure 6 displays the k1 dependence of the integrand for a gridded range of ω1 values for resonant sum interactions (each curve is for a constant ω1), using GMCL as background spectrum with wavenumber slopes s = 2 and s = 3. The cross section T+ develops into a constant behavior at high k1 and the total integrand approaches a behavior
Interaction cross section T+ for sum interactions at latitude 18° and for mode j = 1. Shown are (left) σ1 = − and (right) σ1 = +.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
Integrand with GMCL at latitude 28.3° for sum interactions as function of k1/k for various ω1, shown for σ1 = −1. Power laws (k1/k)−p are plotted for p = 1 (red) and p = 2 (black). Shown are (left) wavenumber slope s = 2 of the wavenumber spectrum and (right) wavenumber slope s = 3.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
The integral for sum interaction faces severe problems of convergence, originating from PSI interactions. We report on our heuristic method to overcome convergence problems in appendix C. We use the criteria for convergence, developed there, to compute the decay times of tidal modes 1–10 in the background of GMCL with s = 2 and s = 3, shown in Fig. 7. We find decay times which generally are well above the tidal period, ranging from a couple of 100 days for mode 1 to a few days for mode 10.
Decay rate (× tidal period) of sum interactions for modes 1, 3, and 10 and slope (left) s = 2 and (right) s = 3, computed for GMCL.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
Figure 8 shows the decay time of the tide for the three modes 1, 3, and 10 where sum and difference interactions are combined appropriately. The left panel is for the cuspless spectrum GMCL, and the right panel shows the same but using the complete GM76 spectrum that includes the GM inertial peak, both with slope s = 2. Naturally, the enhanced inertial peak in GM76 leads to higher decay rates and smaller decay times. Note the sharp decrease of decay time when the critical latitude is approached from south and the sharp increase when this latitude is passed. For GM76 the decay time of M2 becomes as small as 10 days for mode 1 at the critical latitude of 28.8°. Higher modes have much smaller decay times.
Damping time scale (days), summed for difference and sum interactions, for modes 1, 3, and 10 and slope s = 2. Computed for (left) GMCL and (right) GM76.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
The GM class of spectra (see appendix B) that we use for the background wave continuum has a number of free parameters which enter the tidal decay rate and likewise the transfer of energy to the background is parameter dependent. These quantities thus depend on the total energy E of the continuum, on the spectral wavenumber scale
To assess the parametric dependence of the decay rate we have chosen the latitude 20° for sum interactions and 40° for difference interactions and varied all parameters within a reasonable range. Note that the dependence on E is trivial as λl ~ E exactly. Results for the other parameters are displayed in Fig. 9. In view of the quite large range of parameter variation the decay rates change only to a minor degree, with exception of the decay for difference interactions, where the dependences on slope and wavenumber scale are significant.
Parametric dependence of the tidal decay rate for M2 and modes 1 (lowest curve) to 10 (highest curve), computed for the GM spectrum. Shown are (top)
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
5. Effect on the background spectrum
Figure 10 shows the transfer rate
Rate of transfer to the background wave field for the decay of the semidiurnal tide with mode j = 1 at latitude 18° for (left) σ1 = − and (right) σ1 = +. (top) Sum interactions. (bottom) Difference interactions. The background spectrum is GM with s = 2 (GM76). Shown is
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
Figure 11 shows the transfer rate
(top) Transfer rate
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
6. A global perspective
We have evaluated the decay rates λ± for the World Ocean, using for the Brunt–Väisälä frequency N(z) the WOCE-Argo data (Gouretski 2018) and for the IW energy E estimates obtained from Argo data (Riser et al. 2016) by Pollmann et al. (2017). The energy estimates used here are for the range 250–500 m. The data, and thus also the calculated decay rates, are on a 1.5° × 1.5° grid. The slope s of the wavenumber spectrum and the wavenumber bandwidth
(left) Energy density E (m2 s−2) of the ambient internal gravity wave field as obtained by Pollmann et al. (2017) from Argo data in the depth range 250–500 m. (right) Energy density
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
Figure 13 displays the decay time 1/λj with
Global view of decay time 1/λj for modes 1, 2, 3, and 10 in days (logarithmic scale).
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
(left) Decay time 1/λj in days for j = 1, 2, 3, 4, 5, 10 (cyan for mode 1 to blue for mode 10) plotted as function of latitude. The data of the respective lower modes partly overwrite those of higher ones. (right) Same data as in the left panel, but the modes are successively displaced by a decade. The full straight lines indicate a j2 dependence.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
The amount of energy gained by the wave continuum depends on the baroclinic tidal energy and to evaluate this globally we need to know the ocean’s tidal energy distribution. Considerable insight has been gained in recent years on the modal and regional distribution of baroclinic tidal energy. A major observational step is the mooring program conducted at the Hawaiian Ridge and reported by Zhao et al. (2010). Tidal energy was found predominantly in the first few modes, with 2 kJ m−2 in mode 1 at the Hawaiian Ridge, decreasing strongly with mode number (e.g., a factor of 10 less in mode 3). Such pattern is confirmed by Vic et al. (2018) (0.8 kJ m−2 in mode 1) at the Mid Atlantic Ridge and is also consistent with the global map in Zhao et al. (2016) based on satellite observations (note that satellite data only resolve the first mode). The Hawaiian Ridge and the Mid-Atlantic Ridge are areas known as energetically intensive with energies of the baroclinic tide that are much larger than found in other areas (see, e.g., Wunsch 1975; Noble 1975; Schott 1977; Hendry 1977) with values of about 102 J m−2 or less. A representative value can be obtained from Zhao et al. (2016) who reports 36 PJ as globally integrated mode-1 energy, equivalent to an area mean of 102 J m−2. The global ocean model STORMTIDE (Müller 2012; Müller et al. 2012) with a resolution of 1/10° and forced by the complete lunisolar tidal potential simulated 80 PJ of kinetic energy of M2 baroclinic tidal motion (Li et al. 2015). Our damping times for mode 1 are between 10 and 60 days (Fig. 8), the lower values for sum interactions, the higher for difference interactions. Such time scales imply an energy transfer of 0.1–0.02 mW m−2 for a tidal energy of 102 J m−2, as reported in Olbers and Pomphrey (1981; note that in that study only the larger decay times for difference interactions were considered). The energies from the tidal hot spots, referred to above, easily yield transfer values exceeding 1 mW m−2 for mode 1. This is significant as source for the wave continuum (for comparison: 1 TW input globally from tidal conversion amounts to 2.9 mW m−2 as a mean).
The vertical distribution will be modeled by specifying weighting functions for the vertical modes j. We assume
In view of all these uncertainties we can only give a rough estimate of the net transfer. Table 1 summarizes the results for wj ~ j−n with j = 1, …, 5 and n = 2, 3, 4, showing only differences up to a factor of 2: the values for the total transfer (last column) range from 0.1 to 0.05 TW. As can be inferred from the table, the majority of the transfer comes from the sum interactions in the latitude belt from −28.8° to 28.8°, which are dominated by interacting PSI triads. Following this particular scenario for the baroclinic energy and its modal distribution the transfer is as global integral less than 0.1 TW.
Transfer
The tidal energy in the numerical simulation of Müller (2012) and Li et al. (2015) may be underestimated. Considerably larger energies result in the analysis of de Lavergne et al. (2019) with 165 PJ (mode 1), 79 PJ (mode 2), 30 PJ (mode 3), 13 PJ (mode 4), and 6 PJ (mode 5), summing to 293 PJ. Upgrading the energy level of 110 PJ of our previous estimation to 293 PJ and taking the distribution of that analysis we arrive at the values in the last two rows (marked “lav”) of Table 1 with a net transfer of 0.31 TW.
Figure 15 displays the transfer computed for the modal spreading wj, following de Lavergne et al. (2019), and integrated over the water depth, as explained above. The transfer is largest in the western and central Pacific with maximum values around 10−2 W m−2. Also the western Indian Ocean and the eastern Atlantic occasionally show such a magnitude of transfer, but in large areas of the World Ocean we find transfers less than 10−6 W m−2, in particular in the Southern Ocean and the eastern Pacific. The increase of transfer at the critical PSI latitude is clearly visible.
(left) The energy transfer from the baroclinic tide to the ambient wave field summed for modes 1–5 (W m−2), assuming a modal spreading wj following de Lavergne et al. (2019). The transfer is the vertical integral over the entire water column, estimated as explained in the text. (right) The zonal mean.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
A net transfer of 0.1–0.3 TW is generally smaller than global estimates of internal tide generation. Based on an inverse model constrained by TOPEX/Poseidon altimeter data, Egbert and Ray (2003) estimate a barotropic-to-baroclinic energy transfer at the M2 frequency of 0.78 TW in the deep ocean, which agrees well with the 0.8 TW found in the numerical studies of Niwa and Hibiya (2011), Müller (2013), and Green and Nycander (2013, depending on the tidal dissipation parameterization, values as low as 0.5 TW were found). Owing to differences in model setup, resolution, and the practical definition of energy conversion, the modeled internal tide generation can vary substantially: Buijsman et al. (2016), for example, report a global conversion of 0.53 TW for the M2, S2, N2, and K2 constituents in a 1/12.5° HYCOM simulation, which resolves the first 2–3 internal tide modes. Global estimates of baroclinic M2 tide generation obtained from linear theory (Bell 1975; Llewellyn Smith and Young 2002) amount to 1.2 TW for depths greater than 500 m (Nycander 2005, 0.6 TW for depths greater than 1000 m), and, following a vertical normal mode decomposition, 0.71 TW for the first 10 modes and depths greater than 400 m (Falahat et al. 2014; 60% of this energy was transferred into modes 1 and 2). The latter number was reduced to 0.42 TW when the correction for supercritical slopes (Melet et al. 2013) was applied, and further to 0.32 TW when only subcritical slopes were considered. This is in line with the estimate of 0.52 TW of Vic et al. (2019), who calculated the global energy conversion below 700 only to avoid the necessity of such a correction for supercriticality.
The spread of numbers illustrates the uncertainty associated with the global quantification of internal tide generation; all of them, however, are larger by a factor of 2 or more than the energy transfer from the M2 internal tide to the continuum estimated above. Most of these global conversion estimates represent more than the first two baroclinic tide modes resolved in the STORMTIDE simulation and the lack of information on, for example, modal energy partition renders our estimate of the energy transfer from the internal tide to the wave continuum somewhat rudimentary. It seems that alternative dissipation mechanisms of internal tide energy play an important role, too.
7. Summary and conclusions
The baroclinic tide in the ocean is generated by the barotropic tide oscillating over ocean topography. It has imprinted the tidal frequency and the wavenumbers of the topography undulations. Propagating upward from the bottom it interacts by nonlinear wave–wave interactions with the omnipresent internal gravity wave field in the water column. Such interactions generally lead to a damping of the baroclinic tide and, since wave–wave interactions conserve energy, a transfer of the removed tidal energy to the background wave field. The wave–wave interaction process is an important step along the route of tidal energy to small-scale internal waves which might get unstable to break and mix ocean waters, enabling henceforth the large-scale overturning circulation of the oceans.
We have analyzed the tidal decay and spreading of energy across the background wave continuum with the same mathematical tools—weak interaction theory of a random wave ensemble—as used in previous work (see references in the introduction), leading to a kinetic equation for resonant triad wave interactions with the baroclinic tidal wave as one of the three partners and two continuum waves as the others. A new aspect of our research is that the transfer of tidal energy to the wave continuum is derived as a spectral rate in wavenumber–frequency space and analyzed in detail. The interaction process is investigated for different spectral forms of the GM class, varying slope and bandwidth in wavenumber space. Using the kinetic equation, we give evidence for the first time that it is predominantly PSI which shapes the transfer patterns. The tidal decay and energy transfer to the continuum is overwhelmingly supported by triads interacting according to the sum resonance ω = ω1 + ω2, where ω is the tidal frequency and ωj, j = 1, 2 are the interacting partners from the wave continuum. At the critical latitude (28.8° for M2) these are near-inertial waves, ωj ≃ f, which have the largest energy level in the GM-type spectra. But PSI also dominates the damping process at latitudes up to the equator, always with continuum partners with ωj = ω/2, which is the classical PSI scenario. The PSI interactions in the spectral framework are, however, not promoting an instability but rather a regular spectral transfer.
We have investigated the tidal decay process and the spectral energy exchange with the wave continuum in a process-oriented analysis where the Brunt–Väisälä frequency is held fixed but the latitude is changed to spell out the effect of PSI. Figures 3–11 refer to our findings. A globally realistic analysis follows and uses the globally varying Brunt–Väisälä frequency. Global maps of the decay times and energy transfer are displayed in the figures following Fig. 13.
On the process side our findings are summarized by the following:
The time scales of decay of the baroclinic tide crucially depend on the vertical wavelength (equivalent mode number) of the tide and the spectral shape of the continuum at low frequencies (where the overwhelming amount of energy is situated), but overwhelmingly on latitude since PSI of the M2 decay is limited to 28.8°N/S and outside only the less effective difference interactions operate.
The decay time is lowest just equatorward of the critical latitude with values depending on the spectral form of the wave continuum: about 10 days for GM76 and 20 days for a spectrum with no inertial cusp. The time scale increases toward the equator, and at latitudes higher than the critical latitude time scales of 60 days are found for GM76, decreasing toward northern latitudes. These values are for mode 1 and the standard parameters of the GM spectrum. Higher modes decay much faster.
The transfer of tidal energy to the wave continuum has a very distinct pattern. Equatorward of the critical latitude the transfer is dominated by the sum interaction PSI and generally is to wavenumbers lower than the one of the baroclinic tide at all frequencies. Difference interactions play here a minor role but determine the behavior at higher latitudes. The transfer of this type of interactions is generally positive at higher wavenumbers and negative at low ones (the tide grows at the expense of the continuum).
In the frequency spectrum of the transfer for sum interactions develops a δ-function behavior concentrated at half the tidal frequency (PSI) with an amplitude that strongly increases toward the critical latitude by orders of magnitude. Difference interactions show distinct peaks at ω + f and N at all latitudes but with a level which is orders of magnitude lower than the PSI transfer. In the frequency domain the transfer to the continuum is thus overwhelmingly to ω/2 and to a lesser amount to low-frequency near-inertial and to high-frequency near-buoyancy waves. The peculiar behavior is sketched in Fig. 16: given the tidal frequency ω and resonant sum and difference interactions ω = ω1 ± ω2 with partners from the wave continuum occur in restricted and separated domains of ω1 and latitude.
Sketch of the frequency range of ω1 for triad interactions as function of latitude, shown as ω1/ω with fixed Brunt–Väisälä frequency N and ω equal to the M2 frequency. In the sum domain, bounded by f < ω1 < ω − f (red), interactions with resonance ω = ω1 + ω2 are possible. In the difference domain, bounded by ω + f < ω1 < N (black), interactions with resonance ω = ω1 − ω2 are possible. Both domains extend into a third direction, the k1 range, as shown in the previous sections. The sum domain includes the PSI interaction ω1 = ω2 = ω/2 (blue dotted) where the k1 range extends to infinity. The difference domain includes another PSI interaction ω1 = 2ω (yellow dotted). Examples of sum and difference interactions are indicated.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
An attempt of a representative global estimate of decay times and energy transfer rates is introduced, based on maps of baroclinic tidal energy from the STORMTIDE simulation (Müller 2012) and internal wave energy estimates obtained by Pollmann et al. (2017) from Argo data (Riser et al. 2016). We also use the modal energy distribution given in de Lavergne et al. (2019) for the first five modes. With energy transfers below 0.1 TW from the STORMTIDE simulation and 0.3 TW from the analysis of de Lavergne et al. (2019), these estimates are lower than estimates of barotropic-to-baroclinic energy conversion (e.g., Falahat et al. 2014; Vic et al. 2019) at least by factor of 2, which suggests that other mechanisms such as remote dissipation, scattering at topography or mesoscale eddy structures might be important contributors to the global internal M2 tide energy cycle. To support or discard this hypothesis and to clarify the role of nonlinear wave–wave interactions for baroclinic tidal energy dissipation, it is necessary to reduce the uncertainty of our estimate by quantifying how the baroclinic tidal energy spreads over the vertical modes. Such an analysis and a subsequent refinement of our estimate are not only interesting in their own right, but help to better understand global internal gravity wave energetics and to improve mixing parameterizations based thereon (e.g., Olbers and Eden 2013; Eden and Olbers 2014).
Acknowledgments
This paper is a contribution to the Collaborative Research Centre TRR 181 Energy Transfer in Atmosphere and Ocean funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Projektnummer 274762653. We acknowledge the use of the STORMTIDE data to Malte Müller, Zhuhua Li, and Jin-Song von Storch.
APPENDIX A
The Triad Interaction Coefficient
APPENDIX B
GM-Type Spectra
APPENDIX C
Tests of Convergence
Figure C1 shows the behavior of the integrand of the decay rate after integration over k1 as function of ω1 for difference and sum interactions. It is obvious that for the difference interaction the integrand passes smoothly across the PSI point ω1 = 2ω (left panel) whereas the sum integrand is heavily dominated by the behavior at the PSI point ω1 = ω/2 (right panel). Here the integrand develops a very narrow and large peak. To evaluate λ+ we thus have tested the convergence of the integration by implementing different cutoffs at a high wavenumber, by varying the number of grid points (e.g., 1000 or 5000) for the ω1 array, and by varying the location of the last grid point before the PSI point ω1 = ω/2. The latter is done by computing Δ = ω/2 − ω1k where ω1k is the last grid point before ω/2 in the ω1 array. Then ω1k is shifted to ω1k + dΔ with 0 < d < 1, that is, closer to the PSI point. For the right-hand side of the PSI point the procedure is repeated correspondingly.
Integrand of the decay rate as function of ω1 (after k1 integration) for various latitudes and σ1 = −1. (left) Difference interactions for latitudes from 4.8° to 68.8° in steps of 5°. (right) Sum interactions for latitudes from 4.8° to 28.8°. The spectrum is GMCL with slope s = 2.
Citation: Journal of Physical Oceanography 50, 3; 10.1175/JPO-D-19-0224.1
A shift of the last grid point toward the PSI point, however, does not solve the convergence problem: it just increases the trapezoidal integration element without consideration of the sharply curved behavior of the integrand between the points. Cutting off the integrand at high wavenumbers decreases the decay rate but not very drastically, even a severe cutoff at
We therefore increase the resolution between ω1k and ω1k + dΔ, introducing n/2 additional equidistant points (for the left-hand side with respect to ω/2; correspondingly for the right-hand side). For a converging behavior it is sufficient to use d = 0.9999, n = 2000 with the ω1 grid of originally 1000 equidistant points to obtain a relative accuracy of less than 1%.
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In our notation f is assumed positive. Translation to the Southern Hemisphere is readily done.
Wave vectors in this study are three-dimensional, K = (k, m), where k is the horizontal and m the vertical wavenumber.
Note that in a Lagrangian treatment of the triad interactions the coefficient and the cross section are invariant with respect to permutations of all three index pairs. If the kinetic equation is derived from Eulerian equations, the interaction shares this full symmetry if resonant interactions are considered (Eden et al. 2019).
We have tested the convergence by increase of the resolution around the PSI point in the same manner as described for the sum interactions in the next section and appendix C.