1. Introduction
The equatorial waves play an important role in the equatorial stratosphere. Equatorial Kelvin waves and Rossby–gravity waves partly produce the quasi-biennial oscillation (QBO) through wave–mean flow interaction (Holton and Lindzen 1972; Baldwin et al. 2001), and the Kelvin waves are considered to be responsible for the westerly phase of the semi-annual oscillation. They can also contribute to the dehydration of the air at the tropical tropopause (Jensen et al. 2001; Fujiwara et al. 2001).
The theory of equatorial waves was developed by Matsuno (1966). The 15-day Kelvin waves and the 4–5-day Rossby–gravity waves were first observed in stratospheric soundings by Wallace and Kousky (1968) and Yanai and Maruyama (1966), respectively. Since then, many studies have documented the presence of equatorial waves in vertical soundings and ground-based observations using radar, lidar, rockets (Tsuda et al. 1994; Sasi et al. 2003; Fujiwara et al. 2003) or ultralong-duration balloons (Vial et al. 2001; Hertzog and Vial 2001). In addition to these equatorially trapped waves, there is a growing amount of evidence that the dynamics in the lower equatorial stratosphere is also modulated by the planetary Rossby waves that were described at higher altitudes and latitudes by Hirota and Hirooka (1984; see also Madden 1978, 2007).
Although the stratospheric equatorial waves are in good part forced by convection (Holton 1972; Manzini and Hamilton 1993), Hendon and Wheeler (2008) have given evidences that they are quite different from the convectively coupled equatorial waves described by Wheeler et al. (2000) that travel coherently with convective centers in the troposphere (Hendon and Wheeler 2008). This is because the coupled modes are rather slow: their periods correspond to small vertical wavelengths in the stratosphere, where they dissipate rapidly.
With the meteorological satellites, the global observations have yielded a more comprehensive description of the planetary and equatorially trapped waves in the tropical stratosphere (Rodgers 1976; Randel and Gille 1991; Mote et al. 2002; Mote and Dunkerton 2004). Recently, Ern et al. (2008) have analyzed waves with zonal wavenumbers below s = 6–7 in the temperature profiles from the Soundings of the Atmosphere Using Broadband Emission Radiometry (SABER) instrument. They have also shown that the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis reproduces the Kelvin, and the gravest Rossby waves well; but underestimates the amplitude of the Rossby–gravity waves by a factor near 2. This underestimation was also shown on one particular Rossby–gravity wave in comparison with constant level balloon flights data in Vial et al. (2001).
A large number of studies have analyzed the extent to which the middle atmosphere general circulation models (GCMs) simulate the equatorial waves (Boville and Randel 1992; Manzini and Hamilton 1993). They show that the GCMs can produce equatorial waves but that their amplitudes are strongly sensitive to the convection parameterizations (Horinouchi et al. 2003) and to the vertical resolution (Boville and Randel 1992). It is also difficult to evaluate if those models reproduce the equatorial waves with accuracy, both because the equatorial waves are modulated by the QBO and because the QBO is absent from a good part of the models used in Horinouchi et al. (2003), for instance. Furthermore, even if a model simulates a QBO, it does not necessarily mean that it simulates the resolved waves properly because the momentum fluxes producing the QBO in models are partly due to the gravity wave parameterizations (Giorgetta et al. 2006): those can be tuned to compensate for the model errors on the resolved waves.
To gain further insight into the GCMs’ ability to simulate the equatorial waves, the results from SABER in Ern et al. (2008) are instructive: they show that ECMWF analysis can be used to validate the GCMs. It is in this context that Tindall et al. (2006a,b) proposed an equatorial wave detection method that they apply to the 15-yr ECMWF Re-Analysis (ERA-15) but that could also be applied to GCMs. Their method mixes spectral analysis techniques with the equatorial wave theory, as was done for the equatorial troposphere by Yang et al. (2003).
The Tindall et al. (2006a,b) and Yang et al. (2003) papers illustrate well how the statistical methods mixing theory and data analysis techniques can be used to extract waves. They also open a debate about the amount of theory that can be introduced into a statistical method before it ceases to be useful. If the data are projected onto well-defined theoretical solutions, or onto too many of them, the results can be biased toward these solutions or correspond to a signal of very small amplitude. Furthermore, if one tries to analyze the data by projecting them onto each horizontal wavenumber, one can miss the fact that Kelvin and Rossby–gravity waves often propagate in the lower stratosphere as wave packets in the horizontal direction [for the Rossby–gravity waves, see Dunkerton and Baldwin (1995)], simply because they are observed not very far above their tropospheric sources. These packets need to be extracted by an appropriate analysis technique if one wishes to test the ability of a GCM to reproduce locally the correct amplitude of the signal due to a given group of waves.
Another issue that arises when validating a GCM against reanalysis data is that of the altitude at which it should be done. Indeed, we cannot disregard the hypothesis that a GCM can simulate well the equatorial waves and not the QBO. In this case, the filtering of the equatorial waves by the mean flow can make the model waves incorrect for wrong reasons. To circumvent this difficulty, we can use the fact that the equatorial waves are forced by convection and enter the stratosphere from below: there is a region in the lower stratosphere where they can be described before they interact with the QBO and because the QBO in the lower stratosphere is in the right phase over a sufficient depth to permit us to identify the waves’ vertical propagation.
The method we propose in this paper fully takes into account these points. It is a composite analysis of filtered dynamical fields, keyed to indexes measuring when a particular wave enters the stratosphere. To ensure that we extract signals of substantial amplitudes, the time–space bandpass filters we use have broad bands, and the indexes we choose only retain one general result from the equatorial wave theory. This result is that for the Kelvin waves and the n = 1 and n = 3 planetary Rossby waves, the zonal velocity u, the temperature T, and the geopotential height Z have a uniform sign when the latitude ϕ varies over the equatorial band. Here, n is the number of nodes for the meridional velocity between the poles. For the Rossby–gravity waves, the same property applies to the meridional wind υ. The log-pressure altitude chosen for this index is z = 21 km: it is well above the tropospheric sources of the waves but still at a rather low level in the stratosphere to allow us to compare datasets with different QBO signals.
Although composite methods are often used in the troposphere to characterize the equatorial waves that modulate the tropical meteorology at the intraseasonal scale (Wheeler et al. 2000) or to characterize the spatiotemporal patterns of the intraseasonal oscillation (Matthews 2000), they are not often used to characterize the waves in the equatorial stratosphere. This is a clear deficit because the composite method can extract signals that can have a clear dynamical interpretation and that amplitudes can compare with particular case studies.
The plan of the paper is as follows: Section 2 presents a spectral analysis of dynamical fields averaged over the equatorial band and in the lower stratosphere of the 40-yr ECMWF Re-Analysis (ERA-40; Uppala et al. 2005). It permits to identify the spectral domain over which various waves modulate the equatorial lower stratosphere. Still for ERA-40, section 3 presents composite analyses of the trapped equatorial wave packets and compares the composites to particular cases. Section 4 presents composite analyses of the s = 1 Kelvin waves and the s = 1 symmetric planetary Rossby waves that also affect the equatorial stratosphere. Section 5 repeats the analysis for the GCM of the Laboratoire de Météorologie Dynamique (LMDz; Hourdin et al. 2006), emphasizing the differences from the results from ERA-40.
2. Spectral analysis and composite method
a. Spectral analysis
The spectrum of 〈T〉 [S〈T〉(s, ω)] in Fig. 1a shows a well-defined local maximum in the eastward direction for s ≈ 2 − 6 and for periods ω−1 ≈ 3–10 days. Note also the presence of a secondary maximum for S〈T〉(s, ω) at the horizontal wavenumber s = 1, in the eastward direction, and for periods around ω−1 ≈ 10–20 days. These maxima are likely to be due to equatorial Kelvin waves (Shiotani et al. 1997). Note that this wave signal is quite distinct from the Madden–Julian oscillation (MJO) signal, which is slower (its periods are larger than 30 days). This shows that if the MJO is associated with Kelvin waves coupled to the convection, these waves are too slow to propagate deeply in the stratosphere without being dissipated. Compared to these two extrema, the spectrum S〈T〉(s, ω) shows relatively little power in the westward direction.
In the eastward direction, the spectrum of 〈Z〉, S〈Z〉(s, ω) in Fig. 1b resembles that of 〈T〉 in Fig. 1a. In the westward direction, S〈Z〉(s, ω) shows two extrema for s = 1 at periods ω−1 ≈ 5 days and ω−1 ≈ 16 days respectively. These two periods correspond to those of the planetary Rossby waves (Madden 1978, 2007), which apparently affect substantially the equatorial lower stratosphere. Note that the maximum around ω−1 ≈ 16 days is quite broad (it covers the periods ω−1 ≈ 10–20 days), a spreading of the variance from which it follows that the “slow” normal modes are affected by the seasonal changes in the midlatitudes zonal winds (Salby 1981).
The spectrum of 〈u〉—S〈u〉(s, ω) in Fig. 1c—also shows significant power in both directions. In the eastward direction, the shape of S〈u〉 again resembles that of 〈T〉 in Fig. 1a. In the westward direction, S〈u〉(s, ω) presents two maxima for s = 1, corresponding to the two maxima in the spectra for 〈Z〉 in Fig. 1b.
Finally, the spectrum of 〈υ〉—S〈υ〉(s, ω) in Fig. 1d—is dominated by a maximum in the westward direction for periods ω−1 ≈ 2–10 days and for zonal wavenumbers s ≈ 3–9; this is likely to be due to the Rossby–gravity waves (Ern et al. 2008).
b. Composite method
3. Equatorial wave packets
a. Kelvin waves
To extract the oscillations that produce the broad s ≈ 2–6 and ω−1 ≈ 3–10 days maximum in the eastward direction in Figs. 1a–c, we take for the filter temporal parameters in Eq. (3) f1−1 = 17 days, f2−1 = 14 days, f3−1 = 3 days, and f4−1 = 1 day and, for the spatial parameters in Eq. (4), s1 = 1 and s2 = 6 (see also the half-power point of the filter in Fig. 2 indicated by “Kelvin s = 2–5”). We then take for X in the wave index definition in Eq. (5) the filtered value of the temperature at z = 21 km.
Our choice here to group together the wavenumbers s = 2 to s = 5 (rather than another subset including, for instance, s = 1) is somehow arbitrary. It is motivated by the observational fact that in the stratosphere the Kelvin waves often propagate as packets dominated by the wavenumbers s ≥ 2. To illustrate this point, the thin black line in Fig. 3a shows the temporal evolution of the Kelvin wave index A〈T̃〉. It shows that the index is very large, for instance near the beginning of 1999. If we look at the evolution of the unfiltered temperature at the equator near this peak in A〈T̃〉, we see in Fig. 3b an eastward-propagating anomaly, starting around 9 February, at longitude λ ≈ 30°E and ending almost 10 days later at λ ≈ 140°E. Its phase speed is around C ≈ 25 m s−1. In Fig. 3a we also see that the index is larger when the equatorial zonal mean zonal wind (
The composites of the geopotential height
The Hovmöller diagram presenting the composite evolution of the temperature
Figure 4c is a longitude–altitude diagram of the composite geopotential height at l = 0 day lag. It is tilted eastward, indicating vertical propagation, and the vertical wavelength is around λz ≈ 10 km. This is a little larger than the theoretical values of λz predicted by the equatorial waves theory when s ≥ 2 and ω−1 = 7 days (the theory predicts λz = 8.9 km when s = 3). Because we find that most of the events selected correspond to periods when
To corroborate that some dissipations nevertheless occur, we have analyzed for each event the zonal mean zonal wind in the lower stratosphere. In 50% of the events, the zonal mean zonal wind is above 15 m s−1 somewhere between 21 km < z < 32 km; and because our Kelvin waves have phase velocities around C ≈ 15–25 m s−1, they sometimes approach a critical level.
b. Rossby–gravity waves
To extract the oscillations that produce the broad maximum for ω−1 ≈ 2–10 days and s ≈ 3–9 in the westward direction of the spectra S〈υ〉 (Fig. 1d), we take for the filter parameters in Eqs. (3) and (4) f1−1 = −1 days, f2−1 = −3 days, f3−1 = −8 days, f4−1 = −12 days, s1 = 3, and s2 = 9 (see the curve labeled “Rossby–gravity s = 4–8” in Fig. 2). We take for X in the index definition in Eq. (5) the meridional wind υ.
The thin black line in Fig. 5a shows the temporal evolution of the wave index A〈υ̃〉, while the thick gray line shows the evolution of the equatorial zonal mean zonal wind
Figure 6a shows the composites of the geopotential height and of the horizontal wind at l = 0 day lag and at z = 21 km. The pattern is that of a Rossby–gravity wave with westward phase velocity (Matsuno 1966). Note also that the amplitude of the composite in Fig. 6a is significant for all quantities when compared to the total variance in each fields (see Table 2). Finally note also that in the lower stratosphere, Fig. 6a shows that a characteristic Rossby–gravity wave packet does not extend horizontally over more than 80° in longitude, which corresponds to two to three wave crests, as in the particular case in Fig. 5b.
Figure 6b is a Hovmöller diagram for
Figure 6c shows a longitude–altitude section of
A first indication that this is the case is given by the zonal mean zonal wind evolution during the life cycle of our composite [see Eq. (8) and the black lines in Fig. 6d]. It shows that the zonal mean zonal wind decreases during the life cycle of the Rossby–gravity waves, in agreement with the fact that these waves decelerate the flow when they are dissipated. Again this is somehow misleading because we select dates for which the zonal wind is positive at z = 21 km (see Fig. 5a): in these situations the QBO often moves to its negative phase aloft.
To gain further insights in the physical processes that produce the attenuation of the Rossby–gravity waves in Fig. 6d, we have also analyzed the zonal mean zonal wind at the equator
4. Kelvin (s = 1) and free planetary waves
Our choice to describe the waves in terms of packets in the horizontal direction is not adapted for some of them. This appears clearly in the spectra of 〈Z〉 and 〈u〉 in Figs. 1b,c: they both present two relative maxima in the westward direction for the planetary wavenumber s = 1 (one for ω−1 ≈ 5 days and the other for ω−1 ≈ 16 days), which are probably due to the planetary Rossby waves. The spectra of 〈u〉 in Fig. 1c also present a secondary maximum for s = 2 and ω−1 ≈ 4 days, which probably has the same origin. Because these are free modes of oscillations, it is evident that they are better described as individual harmonics.
More problematic is the relative maximum for s = 1 and ω−1 ≈ 10–20 days, present in the spectra of 〈T〉, 〈Z〉, and 〈u〉 in the eastward direction (Figs. 1a–c). Because this maximum can be due to Kelvin waves, and because it looks quite separated from the broad maximum with s > 1 we attributed to Kelvin wave packets in section 3, we have to consider that at least a part of the s = 1 Kelvin waves should be described in terms of individual harmonics. On the one hand, this complementary approach is justified by the fact that there are periods of times when the s = 1 signal is strongly dominant (not shown, but this is the case at the beginning of March 1985) and needs to be analyzed alone. On the other hand, there are also periods of times when an s = 1 planetary Kelvin wave accompanies the Kelvin wave packets. In this last situation, the resulting composites, including the s = 1 contribution, are almost like those in section 3a. For this reason, and also because we have excluded a good part of the s = 1 signal in section 3a, we have to treat the s = 1 Kelvin waves here for completeness.
a. Kelvin waves
To capture the s = 1 eastward-propagating disturbances with periods of 10 days < ω−1 < 20 days, we take for the filter parameters in Eqs. (3) and (4) f1−1 = 40 days, f2−1 = 25 days, f3−1 = 10 days, f4−1 = 5 days, s1 = 0.5, and s2 = 1.5 (see also Fig. 2). We take for X in the index definition [Eq. (5)] the temperature T.
Figure 7a shows the composites
The temporal evolution of the composite amplitude [see Eq. (7)] in Fig. 7d indicates that the life cycle of these waves lasts around 20–30 days, and the maximum amplitude decays with altitude. This again suggests that the s = 1 Kelvin waves entering in the composite are dissipated in the lower stratosphere. As for the Kelvin wave packets in section 3a, the life cycle of the composite is accompanied by an increase of the zonal mean zonal wind [see Eq. (8) and the contours in Fig. 7d].
b. Five-day wave
To capture the oscillations that produce the s = 1, ω−1 ≈ 5-day extrema in the westward direction in Figs. 1b,c, we take for the filter parameters in Eqs. (3) and (4) f1−1 = −1 day, f2−1 = −3 days, f3−1 = −8 days, f4−1 = −12 days, s1 = 0.5, and s2 = 1.5 (see Fig. 2), and we use the geopotential height Z for X in Eq. (5).
The composites
The time–altitude diagram for the geopotential height composite
c. Sixteen-day wave
To capture the oscillations that produce the s = 1, ω−1 ≈ 10–25-day maximum in the westward direction in Figs. 1b,c, we take for the filter parameters in Eqs. (3) and (4) f1−1 = −5 day, f2−1 = −10 day, f3−1 = −25 day, f4−1 = −40 day, s1 = 0.5, and s2 = 1.5 (see Fig. 2), and we use for X in the wave index definition in Eq. (5) the zonal wind u.
The composites
The Hovmöller diagram for the composite
5. Results from the LMDz GCM
a. Model description
The LMDz GCM is a gridpoint model [Hourdin et al. (2006); its stratospheric version is presented in Lott et al. (2005)]. In this version, the horizontal resolution Δϕ = 2.5° and Δλ = 3.75°; there are 50 vertical levels, with the upper level at z = 65 km; and the resolution in the lower stratosphere varies slowly from Δz = 1 km at z = 15 km to Δz = 1.8 km at z = 35 km. The simulation presented here lasts 26 yr and is forced by climatological SSTs and sea ice cover, the first year being used as spinup. It does not have a QBO signal, despite the fact that it uses orographic and nonorographic gravity wave drag schemes (Lott and Miller 1997; Hines 1997).
It is also important for the equatorial wave forcing to recall that LMDz uses a convection scheme based on Tiedtke (1989). This is a “mass flux scheme,” which requires large-scale moisture convergence (divergence) to trigger (inhibit) deep convection. In this scheme, only one convective cloud is considered in each grid cell, which can yield to large temporal and spatial variability in the simulated precipitations. Horinouchi et al. (2003) have shown that the stratospheric models using this type of scheme simulate more equatorial wave activities than those using parameterizations that do not take into account the large-scale moisture convergence.
To compare the equatorial waves in ERA-40 and in LMDz, it is essential to apply exactly the same procedure to build the composites. More specifically, the space–time filters and the number of events selected need to be the same, the composite being quite sensitive to both. In this respect, it is also important that the lengths of the datasets be identical (25 yr for both) and that the waves analyzed have a comparable spectral signature.
b. Spectral analysis
The temperature spectrum S〈T〉 in Fig. 10a shows a pronounced maximum in the eastward direction for s = 1 and for ω−1 ≈ 10–25 days, and a secondary maximum for s > 2 and for ω−1 ≈ 5–15 days. The first maximum is almost located at the place of the corresponding s = 1 maximum of the S〈u〉 spectra from ERA-40 (Fig. 1a). The second maximum in LMDz is almost centered on s = 2 ω−1 ≈ 10 days, contrary to ERA-40, and does not extent much to higher frequencies and wavenumbers. Furthermore, the spectral amplitude in LMDz has a larger amplitude than in ERA-40, suggesting that the Kelvin wave signal in the LMDz lower stratosphere is much more pronounced than in the reanalysis. As we will see in the next section, this is due to the fact that the Kelvin waves propagate vertically with much less attenuation in the model, whereas their amplitudes when they enter in the lower stratosphere are comparable to those from the reanalysis.
The spectra for the geopotential and zonal wind in Figs. 10b,c show maxima for s = 1 at the periodicities of 5 and 16 days in the westward direction that are similar to those from the reanalysis in Figs. 1b,c. It follows that the model simulates the planetary Rossby waves well (not shown), which is due to the fact that its stratospheric variability in the midlatitudes is realistic (Lott et al. 2005). Both spectra also present maxima in the eastward direction associated with the Kelvin waves, as in ERA-40.
The spectrum of the meridional wind in Fig. 10d presents a broad maximum in the westward direction for periods ω−1 ≈ 3–5 days and wavenumbers s ≈ 2–8 (i.e., over a narrower temporal band than the corresponding spectrum from ERA-40 in Fig. 1d). As we will see in section 5d, this is probably due to the fact that the slower Rossby–gravity waves have a vertical wavelength too short to be resolved by the model (the theory predicts λz ≈ 1 km when s ≈ 4–5 and ω−1 ≈ 10 days); the faster ones are easier to reproduce (λz ≈ 5 km when s ≈ 4–5 and ω−1 ≈ 5 days).
The half-power point of the filters in Fig. 2 shows that these filters largely capture the relative maxima in the spectra from LMDz (Fig. 10). The resulting composite from LMDz can therefore be compared to those from ERA-40. For the planetary Rossby waves, we found that the spatiotemporal composites in LMDz are similar to those in the reanalysis (not shown). We also found that LMDz produces an s = 1 Kelvin wave which is almost like that in the reanalysis, at least at the key altitude z = 21 km and below (not shown). At higher levels it is much less attenuated in the model than in the reanalysis; this effect will be discussed for the Kelvin wave packets in the next section.
c. Kelvin wave packets
The LMDz composites for the Kelvin wave packets at z = 21 km and l = 0 day lag in Fig. 11a) compare well with those from ERA-40 in Fig. 4a, indicating that LMDz has Kelvin waves with the correct amplitude in the lower stratosphere. Nevertheless, the zonal extension of the composite in LMDz is much larger than in ERA-40. This indicates that LMDz underestimates the relatively large wavenumbers (e.g., s = 3, 4). Note that this deficit was already apparent in the LMDz spectra in Figs. 10a–c: their eastward maximum falls off quite rapidly in amplitude for the zonal wavenumbers s ≥ 3, whereas in ERA-40 these eastward maxima extend up to s = 5, 6.
The Hovmöller diagram for the temperature 〈T̃〉c in Fig. 11b shows eastward phase propagation and eastward group velocity as expected. The period is around ω−1 ≈ 10 days and is longer than the period found in ERA-40 (ω−1 ≈ 7 days). Again, this is consistent with the spectral estimates in Figs. 10a–c, which have a relatively small amplitude in the eastward direction for ω−1 ≤ 6–7 days, when compared to ERA-40 in Figs. 1a–c.
The longitude–altitude section of 〈Z̃〉c at l = 0 day lag in Fig. 11c is positively tilted with altitude, indicating upward propagation. The vertical wavenumber is around λz ≈ 13 km. It is significantly larger than the theoretical value (theory predicts λz ≈ 7 km, when s = 2, and ω−1 = 10 days). This effect is due to the fact that the zonal wind is negative in the lower stratosphere of LMDz (around and below
In Figs. 11c,d [note that in Fig. 11d the shaded contours are for the composite amplitude; see Eq. (7)], we see that the Kelvin wave amplitude is almost constant with altitude. The Kelvin waves in LMDz are therefore much less attenuated than in ERA-40 (see Figs. 4c,d). Nevertheless, some attenuation occurs in LMDz as well because the amplitude of the equatorial waves varies as ez/2H in the nondissipative case, whereas here it is almost constant.
Another indication that the waves entering in the composites are attenuated is provided by the composite of the zonal mean zonal wind evolution during the life cycle of the Kelvin waves [see Eq. (8) and the black lines in Fig. 4d]. It shows that the zonal mean zonal wind increases by around 0.2–0.3 m s−1 during the life cycle of the Kelvin waves, consistent with the picture that these waves accelerate the zonal mean flow when they are dissipated. Interestingly, in ERA-40 we have seen that the increase of the zonal wind during the Kelvin wave life cycles can in part be due to a sampling of the QBO signal. Because LMDz does not have a QBO signal, the result from LMDz is a therefore a better illustration of the zonal mean zonal wind acceleration produced by the Kelvin waves dissipation.
d. Rossby–gravity waves (s ≥ 2)
The composite maps in Fig. 12 show that LMDz has difficulties in simulating the Rossby–gravity waves. The composite patterns for Z, u, and υ at l = 0 day lag and z = 21 km in Fig. 12a have almost half the amplitude of those from ERA-40 in Fig. 6a (note the changes in scales between the two figures). The equatorial antisymmetry of the geopotential height and of the zonal wind that characterizes Rossby–gravity waves is in part lost. Note, however, that the composite is dominated by the wavenumbers s = 5, 6 which is consistent with the results from ERA-40.
At z = 21 km, the Hovmöller diagram for 〈υ̃〉c in Fig. 12b is more irregular than in ERA-40 and shows that the characteristic period of the Rossby–gravity waves in LMDz is around ω−1 ≈ 4 days; that is, 2 days shorter than in ERA-40. It also shows westward phase propagation, but the phase speed is larger in amplitude than in ERA-40 (C ≈ −25 m s−1 in LMDz versus −15 m s−1 in ERA-40). Figure 12b also shows that the composite patterns are more stationary in amplitude than in ERA-40. This is due to the fact that the positive intrinsic group velocity of the Rossby–gravity waves is balanced here by the negative zonal mean zonal winds that are dominant in the lower equatorial stratosphere of LMDz.
The longitude–altitude section of 〈υ̃〉c at l = 0 day lag in Fig. 12c shows that the lines of constant phase are negatively tilted, indicating upward propagation. The vertical wavelength is around λz ≈ 6 km and is almost 2 times smaller than predicted by theory. Again, it follows that the zonal mean zonal wind in the LMDZ equatorial stratosphere is negative, which tends to reduce the intrinsic frequency and the vertical wavelength of the waves.
The time–altitude diagram for the amplitude [see Eq. (9)] in Fig. 12d shows that the Rossby–gravity waves in LMDz have a life cycle of 10–15 days, and they never extend above 25 km. At this altitude, the zonal mean zonal wind
6. Conclusions
a. Summary
In the lower stratosphere, the gravest equatorial waves are the Kelvin and the Rossby–gravity waves. They are often grouped in packets in the horizontal direction (see the examples in Figs. 3b and 5b) because they are just above their tropospheric sources. It is within these packets that irreversible processes, such as breaking or condensation of ice, are triggered. The method presented here extracts from ERA-40 a climatology of these wave packets. It also extracts a climatology of the equatorial signal produced by some planetary Rossby waves, which we found to be quite substantial in the equatorial regions. The method presented has four advantages. The first is that it extracts the signal due to each type of wave on all the dynamical fields (u, υ, Z, and T). The second is that it gives a description of these signals in terms of packets, yielding to composites for which the horizontal extension, life cycle duration, and amplitude compare well with those seen in particular cases (for the Kelvin wave packets, compare Figs. 3b and 4b; for the Rossby–gravity waves, compare Figs. 5b and 6b). The third is that for all the waves presented, the signal induced on the dynamical fields is always significant and is quite large: it compares with the standard deviation of the corresponding fields evaluated over the equatorial band (see Table 2). The fourth is that our composites show the waves entering in the lower stratosphere, propagating vertically through it, being dissipated, and producing zonal mean zonal flow changes.
For the Kelvin waves, the dominant packets are constituted of harmonics with wavenumbers s ≈ 2–5 and periods around 7 days (Fig. 7). These wave packets have a characteristic life cycle that lasts around 15–20 days and are dissipated in the lower stratosphere. An increase of the zonal wind in the lower stratosphere is also observed when these packets propagate through it, which is consistent with the pictures that these Kelvin wave packets contribute to the easterly phase of the QBO. For the Rossby–gravity waves, the dominant packets are constituted of harmonics with wavenumbers s ≈ 3–9 and periods around 5–6 days (Fig. 6). These wave packets have a life cycle that lasts around 10–15 days and are dissipated in the lower stratosphere. A decrease of the zonal wind in the lower stratosphere is also observed, which is consistent with the pictures that these Rossby–gravity wave packets contribute to the easterly phase of the QBO.
Another strength of the method is that it can be used to isolate the life cycle of individual zonal harmonics. This approach is mandatory to describe the equatorial signature of the free planetary waves, which we found to be very substantial on the geopotential height and on the horizontal wind, at least for the s = 1 signals (see Figs. 8 and 9 for the 5-day and 16-day waves, respectively). This approach is also useful for the Kelvin waves because there are periods of times when the s = 1 Kelvin waves are very strong (Fig. 7).
We have also shown that this method can be applied to GCMs to quantify how well they simulate the equatorially trapped and the planetary Rossby waves. When applied to LMDz, this method shows that the model simulates Kelvin waves with reasonable amplitude in the lower stratosphere (Fig. 11). These waves are much less dissipated than in ERA-40, but this is due to the fact that LMDz does have a QBO. In the model, the Kelvin wave propagation in the lower stratosphere is also accompanied by an increase of the zonal wind, illustrating that Kelvin waves accelerate the zonal mean zonal flow in the lower stratosphere. Note, however, that LMDz fails to simulate the Kelvin waves with periods around ω−1 ≈ 7 days and zonal wavenumbers larger than s = 3. Because these waves have a relatively large vertical wavenumber (on the order of λz ≈ 10 km), this error probably follows from an insufficient tropospheric forcing at the horizontal wavenumbers s > 3.
LMDz also has some Rossby–gravity waves, which decelerate the zonal mean zonal wind. These Rossby–gravity waves nevertheless do not project very well on the theoretical structure of these waves and are rapidly attenuated in the vertical direction (Fig. 12). This signal is also very weak for periods larger than ω−1 ≈ 5 days. These defects are due to the fact that the Rossby–gravity waves with periods around 10 days have a vertical wavenumber λz ≤ 1 km and thus cannot be handled by a model with vertical resolution larger than that. On top of this, the zonal mean zonal winds in the model lower stratosphere are predominantly easterlies; this tends to decrease the intrinsic frequency of the westerly waves and their vertical wavenumber. If we recall now that ERA-40 also underestimates the Rossby–gravity waves (Ern et al. 2008), we can conclude here that LMDz fails to simulate a good part of them.
To summarize the results from LMDz, this analysis shows that its defects have two different causes. The first is that it has a too coarse vertical resolution, which is crucial for the Rossby–gravity waves, and the second is that it has an insufficient tropospheric forcing of the waves with wavenumbers s > 3, as was identified for the Kelvin waves. Therefore, this analysis calls for further model sensitivity studies to the vertical resolution and to the convection schemes. These are beyond the scope of this paper, but the analysis presented here clearly demonstrates the strength of the method to validate model calculations.
b. On the relations with the QBO
The relationships between the gravest equatorial waves and the zonal wind changes found in ERA-40 and in LMDz illustrate how these waves can contribute to the QBO (for the Kelvin wave life cycles and the zonal mean flow evolutions, see Figs. 4d, 7d, and 11d; for the Rossby–gravity waves and the zonal mean flow evolutions, see Figs. 6d and 12d). Nevertheless, the accelerations due to the Kelvin waves and the decelerations due to the Rossby–gravity waves seen in ERA-40 (Figs. 4d and 7d, respectively) are much larger in amplitude then those seen in LMDz (Figs. 11d and 12d, respectively). These differences in amplitude can have two causes. The first is that the equatorial waves in LMDz are too small; the second is that in ERA-40 the composite analysis samples the QBO signal differently during the periods when the Kelvin waves are extracted and when the Rossby–gravity waves are extracted. This second effect is quite important. In fact, we have also found that the Kelvin waves are larger when the zonal mean zonal winds are negative at the altitude where we detect the waves (z = 21 km; Fig. 3a). Accordingly, for the dates when we extract the waves, the QBO is in general increasing aloft z = 21 km. The opposite is true for the Rossby–gravity waves (we extract them when the zonal wind is positive at z = 21 km so the QBO is decreasing aloft). This means that even if these waves do not produce substantial changes in the zonal winds, we would observe those changes using our method.
We have tried to reduce this effect in ERA-40 by applying a high-pass temporal filter to the zonal mean zonal wind. With a filter that keeps the period ω−1 < 2 months, the QBO signal is suppressed but the zonal wind variations occurring on the time scale of the life cycle of our waves are unaffected. With this method, preliminary results show that the amplitudes of the zonal mean flow evolutions due to those waves in ERA-40 are larger than in LMDz, but not as much as was shown here: it seems that the acceleration from LMDz in Figs. 11d and 12d is quite representative of that produced by these waves in reality. These preliminary results suggest that the gravest equatorial waves only produce a fraction of the QBO signal. This requires that the analysis be extended to higher frequencies and higher wavenumbers.
Acknowledgments
We would like to acknowledge Dr G. Kiladis and two anonymous referees for their helpful comments that improved this paper.
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ERA-40: Space–time spectra of fields averaged between 10°S and 10°N in the lower and middle stratosphere: (a) temperature, (b) geopotential height, (c) zonal wind, and (d) meridional wind. In each plot are presented sωS〈x〉(s, ω) to accommodate the log-scale of the two axes.
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
Half-power points of the space–time filters used to extract the gravest waves in the equatorial lower stratosphere.
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
ERA-40: Index for the Kelvin wave packets with s > 1 at z = 21 km. (a) Index A〈ũ〉 in Eq. (5) for the filter parameters in the second row of Table 1 (thin solid), zonal mean zonal wind at the equator and at z = 21 km (thick gray). (b) Hovmöller diagram of the z = 21 km temperature anomaly at the equator (T −
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
ERA-40: Composite of the Kelvin waves with wavenumbers s = 2–5, and periods ω−1 ≈ 3–10 days (phase speed C ≈ 25 m s−1). (a) Geopotential and horizontal wind (
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
ERA-40: Index for the Rossby–gravity waves packets with s > 1 at z = 21 km. (a) Index A〈υ̃〉 in Eq. (5) for the filter parameters in the third row of Table 1 (thin solid), zonal mean zonal wind at the equator and at z = 21 km (thick gray). (b) Hovmöller diagram of the z = 21 km meridional velocity anomaly at the equator (υ −
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
ERA-40: Composite of the Rossby–gravity waves with wavenumbers s = 4–8, and periods ω−1 ≈ 3–8 days (phase speed C ≈ −15 m s−1). (a) Geopotential and horizontal wind (
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
ERA-40: Composite of the Kelvin waves with wavenumber s = 1 and periods ω−1 ≈ 10–25 days (phase speed C ≈ 30 m s−1). (a) Geopotential and horizontal wind (
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
ERA-40: Composite of the planetary Rossby waves with horizontal wavenumber s = 1 and periods ω−1 ≈ 5 days. (a) Geopotential and horizontal wind (
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
As in Fig. 8, but for ω−1 ≈ 16 days, and CI = 0.75 m.
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
LMDz: Space–time spectra of fields averaged between 10°S and 10°N in the lower and middle stratosphere. Each panel displays sωS〈X〉 (s, ω) to accommodate the log-scale of the two axis. (a) Temperature X = T, (b) geopotential height X = Z, (c) zonal wind X = u, and (d) meridional wind X = υ.
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
LMDz: composite of the Kelvin waves with wavenumbers s = 2–5 and periods ω−1 ≈ 3–10 days (phase speed C ≈ 25 m s−1). (a) Geopotential and horizontal wind (
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
LMDz: composite of the Rossby–gravity waves with wavenumbers s = 4–8 and periods ω−1 ≈ 3–8 days (phase speed C ≈ −25 m s−1. (a) Geopotential and horizontal wind (
Citation: Journal of the Atmospheric Sciences 66, 5; 10.1175/2008JAS2880.1
Variance statistics of the disturbance fields u, υ, T, and Z and in the low and middle equatorial stratosphere (16 km ≤ z ≤ 32 km, −10°N ≤ ϕ ≤ +10°N), with the zonal means and annual cycle subtracted. First column is std dev σ. Second column is 1% confidence level from a normal distribution test for the sum of Nc = 25 realizations of a random process with std dev σ.