The low-latitude ionospheric dynamics is governed dominantly by the dynamo electric field of the E-region of the ionosphere. The off-equatorial E-region electric field (E) maps over to the magnetic equator at the lower F-region altitudes. Under the influence of this E field and the magnetic field (B) of the Earth, the F-region plasma over the magnetic equator moves upward due to E × B drift. This plasma then diffuses along the magnetic field lines and accumulates at around ±15° latitudes off the magnetic equator, building up regions of enhanced densities (crests) in plasma, and this phenomenon is known as the EIA (Raghavarao et al. 1988). The strength and latitude coverage of the EIA crest depends on season and lower atmospheric forcings of tidal nature (Immel et al. 2006; Pallamraju et al. 2004, 2010). Waves propagating from the lower atmosphere perturb the E-region dynamo electric field which is mapped to the F-region and thereby contribute to the redistribution of plasma. The amplitudes of these tidal waves are modulated at the lower atmosphere by the large-scale PW-type waves that are enhanced during SSW events. In addition to the shorter period dominant tidal waves, the normal-mode-type PW oscillations of 2, 5, 10, 16, and 25 days are generally observed in the upper atmosphere (e.g., Salby 1984; Sassi et al. 2012; Laskar et al. 2013). The EEJ strength which originates from around 105-km altitude region in the equatorial latitudes has been shown to be strongly modulated by lunar 14 to 15 day lunitidal period (Park et al. 2012). Here, in this study, the presence of waves in the PW regime (2 to 30 days) can be seen in Figure 2. The most dominant waves that have been observed in all these durations of observations are of the quasi-16-day type (11.2 to 20 days; Salby 1984). In some local time bins, the presence of 5- to 6-, 9- to 10-, and 27-day periods is also observed to be above the 90% significance level. However, the dominant mode present here is of quasi-16-day-type PWs which originate mainly in the lower atmosphere and are very sensitive to the stratospheric and mesospheric mean zonal winds (Luo et al. 2000). So, the large-scale waves and periodicities that appear in Figure 2 are believed to be associated with both variabilities of tides and PWs from the lower atmosphere.
A similar analysis, as that carried out for EEJ in the year 2006 as shown in Figure 2, has been carried out for all the years and in both the EEJ strength and the TEC data. For brevity, these periodograms have been converted into contour plots and all the periodograms at different local times have been normalized with their respective 90% significance level values and are shown in Figure 3. The left (a) and right (b) panels show the periodogram contours for the EEJ strength and the TEC from Diego Garcia. Each column represents data for 8 years from 2005 to 2013, wherein the x-axis represents the periods in days and the y-axis is the local time. The color bar represents the relative spectral powers compared to the strongest power in the year 2009 - the year of strongest SSW event of the past decade. This is done in order to compare the inter-year variation in powers for a given periodicity. Here, all the periods greater than the relative power of approximately 0.6 (dark green) are above 90% significance level. From this figure, one can note that the relative powers of the periods in the quasi-16-day range are very prominent and are present in almost all the years presented here. The maxima of power at the quasi-16-day period range occur mostly at the same period range with respect to local time in the years 2006, 2007, and 2009 while for 2005, 2012, and 2013, one can note that the periods with maxima in power shift from shorter to longer periods from morning to evening. It is also notable that the periodicities in the EEJ and the TEC are, to a large extent, similar which is due to the fact that the low-latitude E-region electric field acts as a dominant driver for the plasma processes that eventually affect the F-region processes. Other than the quasi-16-day periods, one can see periodicities at 2, 5, 8 to 9, and 25 days in Figure 3. The 2- and 5-day waves are the normal mode oscillation of the lower atmosphere (Salby 1984). In addition to the Doppler-shifted 10-day normal mode oscillation origin, the 8- to 9-day waves have also been reported to be related with the quasi-periodic variations of solar wind high-speed streams and recurrent geomagnetic activity, especially for the year 2005 (Thayer et al. 2008). Thus, some of the wave activities seen in these upper atmospheric parameters are due to both solar and lower atmospheric origin.
The average spectral power of the variations within the quasi-16-day range (11.5 to 20 days) and 6 to 18 h local time in the contour plots shown in Figure 3 are produced in Figure 4 for both the EEJ strength and the TEC. The letters ‘m’ and ‘M’ just above the x-axis stand for ‘minor’ and ‘major’ SSW events, respectively, that occurred during those observation windows. The dashed line (‘+’ symbol) in Figure 4 shows the northern polar latitude (90° N) stratospheric temperature anomalies (∆T) that occurred during the SSW events. The ∆T values are calculated by averaging the stratospheric temperature for a fairly stable duration prior to the occurrence of the SSW. In the absence of any index or parameter which represents the true strength of the SSW, this temperature anomaly is used as an indicator of the strength. It is expected that the ∆T values represent the stratospheric behavior in response to the SSW events. Strikingly, there are three maxima in both temperature anomaly and spectral powers of EEJ and TEC which occurred during the three strong major SSW years 2006, 2009, and 2013. Also, during the three minor warmings in the years 2005, 2011, and 2012, the spectral powers are comparatively low. These observations suggest that the strength of the SSW decides the spectral power of quasi-16-day waves in the upper atmospheric parameters. The quasi-16-day-type variations in the EEJ and ionospheric parameters are widely shown to be enhanced during SSW events (Pancheva et al. 2009). Notably, these three strong major events were the strongest of the major events in the last two decades. So, higher spectral power in these three major events implies that the stronger the SSW event, the stronger will be its effect on the low-latitude upper atmosphere. This happens because during major warmings the semi-diurnal tidal (both solar and lunar) and PW amplitudes are amplified and their combined action registers higher influence on the ionosphere (Stening et al. 1997; Pedatella and Liu 2013).
It can be noticed from Figure 3 that there are statistically significant quasi-16-day periods in all the years in addition to those in the three strong major warming years mentioned above. In spite of the fact that the SSWs in 2005, 2011, and 2012 were minor in nature, they showed appreciable amplitudes in the quasi-16-day power. Notably, these three minor events occurred during low solar activity epoch. Laskar et al. (2013) used experimental observations to show that the coupling of lower and upper atmospheres is higher (lower) during low (high) solar activity. Such coupling in low solar activity is further enhanced when additional energy is available, such as that present during SSW events, which thus explains the appreciable amplitudes during these three minor events. Using numerical simulations, Pedatella and Liu (2013) showed that for the same level of SSW activity, the lower atmospheric influence on the upper atmosphere is greater during low solar activity period in comparison to that at high solar activity, wherein solar influences dominate. Further, in the present case, one can note that the major SSW event in 2013, which occurred in relatively higher solar activity (average SSN of 51), shows strong amplitudes in the quasi-16-day periods. In our earlier study (Laskar et al. 2013), it was conjectured that even during high solar activity if there occurs a major SSW event, then it would provide additional energy which will significantly influence the upper atmosphere. In this work, the observation of the SSW event in 2013 is an experimental evidence to that conjecture. Support for this conjecture is also obtained from the published literature wherein the existence of perturbations in the ionosphere due to lower atmospheric forcings was reported during high solar activity in 2001 to 2004 and 2013, which actually occurred in simultaneity with major SSW events (e.g., Liu and Roble 2005; Pancheva et al. 2009; Fejer et al. 2010; Pedatella and Liu 2013; Goncharenko et al. 2013). These earlier reports have to be viewed in light of our conjecture that if the lower atmospheric forcing is stronger, as it happens during strong SSW events, then they can affect the upper atmosphere even during high solar activity periods. The current study demonstrates these features and places things in perspective with larger and independent datasets during low, moderate, and high solar activity epochs. The present study also reveals the plausible conditions in which an SSW event shows a greater effect on the upper atmosphere based on various waves and background dynamics as discussed below.
As mentioned above, the enhanced PWs and middle atmospheric dynamics during SSW modulate the tidal waves (mainly semi-diurnal) which further influence the ionosphere through the electrodynamical processes. To study the behavior of these waves, the relative variation in amplitudes of quasi-16-day and semi-diurnal waves had been looked into. Figure 5 shows the amplitudes of the semidiurnal (SD; thin continuous lines), an estimate of the SD envelope (SDenvelope; thick continuous lines), and quasi-16-day (dashed) periodic variations in EEJ strength during the years of the current study. These amplitudes are obtained using the wavelet-based spectral analysis technique (Torrence and Compo 1998; Zaourar et al. 2013). It is known from the wavelet theory that the amplitudes of the harmonic components, like tides and PWs, can be obtained from the absolute value of the wavelet transform of the time series with the Morlet function as mother wavelet. The Morlet mother wavelet is best suited for studies of sinusoidal-type geophysical waves. The details of wavelet-based spectral analysis can be found in Torrence and Compo (1998). Both the semi-diurnal and quasi-16-day amplitudes appearing in Figure 5 are derived from the wavelet transform of the hourly values of the EEJ strength data. Interestingly, one may note from Figure 5 that the amplitudes of both semi-diurnal tides and quasi-16-day amplitudes are high and broadly vary in a similar fashion (as if semi-diurnal tides are modulated by the quasi-16-day waves) around the peak of SSW event, especially for the three strong major SSW events in 2006, 2009, and 2013.
As semi-diurnal oscillations are of higher frequency than those of planetary-scale waves in order to enable quantification of the correlation between SD variations and quasi-16-day waves, an envelope of semi-diurnal amplitude, SDenvelope, values are derived. These SDenvelope values are obtained by a two-point smoothing of the curve joining the maxima of the 3-day (72 h) smoothed semi-diurnal amplitudes. One can note from Figure 5 that SDenvelope fairly follows the SD maximum amplitudes. The cross-correlation coefficients (R) between SDenvelope and quasi-16-day amplitudes are also shown within the plots. One can note that for the three strong major SSW years 2006, 2009, and 2013, the correlation coefficient values are 0.78, 0.85, and 0.79, respectively. For the less major and the minor events, the correlation coefficients are negative (except for 2007, which was a late winter SSW event), which may possibly be due to the interaction of tides with some other PWs or with middle atmospheric dynamics (Jin et al. 2012). From these results, the plausible conclusion that can be arrived at is that during the three strong major SSW events in 2006, 2009, and 2013, there were strong interactions between semi-diurnal tides and quasi-16-day waves. Further, recent modeling studies suggest that the middle atmospheric dynamics play a dominant role in coupling the lower atmosphere and upper atmosphere during SSW events (Jin et al. 2012; Pedatella and Liu 2013). This study thus provides experimental evidence to the conjecture proposed earlier and revealed new aspects of interactions on the vertical coupling of atmospheres. These new aspects call for a detailed modeling and simulation studies, which are beyond the scope of the present communication, and will be carried out in the future.