Detection of acoustic-gravity waves in lower ionosphere by VLF radio waves



[1] We present a new method to study harmonic waves in the low ionosphere (60–90 km) by detecting their effects on reflection of very low frequency (VLF) radio waves. Our procedure is based on amplitude analysis of reflected VLF radio waves recorded in real time, which yields an insight into the dynamics of the ionosphere at heights where VLF radio waves are being reflected. The method was applied to perturbations induced by the solar terminator motions at sunrises and sunsets. The obtained results show that typical perturbation frequencies found to exist in higher regions of the atmosphere are also present in the lower ionosphere, which indicates a global nature of the considered oscillations. In our model atmosphere, they turn out to be the acoustic and gravity waves with comparatively short and long periods, respectively.

1 Introduction

[2] The terrestrial atmosphere is a medium of a highly complex nature concerning numerous physical, chemical, and geometrical features that govern its versatile dynamics on various spatial and temporal scales. Among prominent signatures are harmonic and quasi-harmonic hydrodynamic motions (including soliton formation and vortices [Jovanović et al., 2001]) generated by perturbers located in the atmosphere (electric discharges in lightnings [Inan et al., 2010] and atmospheric convective motions [Sindelarova et al., 2009]), in the lithosphere (tectonic motions [Dautermann et al., 2009]), and in the outer space (sunrise and sunset effects [Afraimovich et al., 2009] and solar wind gust impacts on the upper boundaries of the atmosphere [De Keyser and Čadež, 2001a, 2001b]). In addition to natural perturbers, there are also those caused artificially like nuclear explosions [Yang et al., 2012]. The induced perturbations may result into various large amplitude nonlinear structures [Stenflo and Marklund, 2010] and patterns of either eigenmodes or driven linear waves in the atmosphere. The latter represents a unique response of the atmospheric medium and can be used as a means to recover some of its local physical characteristics. Such waves are detected and studied by various methods utilizing satellites and by numerous techniques from the ground using radars, rockets, and radio waves.

[3] In what follows, we focus our attention on perturbations induced in the lower ionosphere, below 90 km, at sunrises and sunsets due to motions of the solar terminator (ST) when transitions between the daytime and nighttime result into abrupt changes of thermal heating and ionization conditions and eventually lead to generation of a variety of wave modes. These are generally acoustic and gravity waves (AGWs) in practically nonmagnetized plasma.

[4] The properties of AGWs generated by ST in higher ionospheric layers (above 90 km) have been studied by computing the total electron contents (TEC) from data obtained by GPS [Afraimovich, 2008], Doppler sounding [Sindelarova et al., 2012], and incoherent scatter radar methods [Galushko et al., 1998]. In our paper, we extend studies of the ST-excited AGWs to the lowest ionospheric region below 90 km. We apply a new procedure of detection AGWs that is based on the Fourier analysis of amplitudes of very low frequency (VLF) radio waves registered in real time.

[5] The VLF signals are being emitted continuously in time by a system of VLF transmitters distributed worldwide and, after being deflected from the ionosphere at heights below 90 km, they are recorded by networks of VLF receivers. The registered VLF wave variations in real time reflect the nonstationary physical and chemical conditions in perturbations in the medium along the VLF wave trajectories [Nina et al., 2011, 2012a]. Namely, the VLF signal reflection hight depends on local electron density, and it is time dependent due to presence of perturbations [Nina et al., 2012b]. This further causes time variations of the VLF wave trajectory and, consequently, variations of the registered wave amplitude and phase. The analysis of spectral composition of VLF wave changes in real time therefore allows us to make conclusions on atmospheric oscillation patterns.

2 Observational Data and Their Treatment

[6] Our analysis involves data on registered VLF amplitude changes arising from the ST passage for 5 days: 1, 2, 9, 12, and 13 May 2010. The reason for choosing these particular days was relatively quiet conditions without significant traveling ionospheric disturbance events resulting from auroral activity, atmospheric lightnings, and solar flares among others. The observed VLF signal is emitted by the transmitter DHO in Germany at 23.4 kHz and registered by the Atmospheric Weather Electromagnetic System for Observation Modeling and Education (AWESOME) receiver system in Institute of Physics, Belgrade, Serbia (a part of Stanford/AWESOME Collaboration for Global VLF Research).

[7] Figure 1 shows the recorded VLF signal amplitudes A(t) in real time for selected four time intervals of 90 min that cover periods before and after the sunrise and sunset, respectively, when quasi-stationary conditions of the basic state are achieved (domains a and b, and c and d, respectively). Such conditions then allow application of standard normal mode analysis to excited small amplitude perturbations whose detection and study are the main issue of this paper. Shaded time intervals in Figure 1 that separate the quasi-stationary domains indicate the occurrence of complex processes due to ST that perturb the atmospheric layers and VLF wave reflection and propagation conditions, which results into a highly nonstationary behavior of the recorded VLF signal amplitude at sunsets and sunrises. Particular features of these amplitude variations were studied elsewhere [see Carpenter and Whitson, 1965; Clilverd et al., 1999], and we take them as a fact meaning that a quasi-stationary basic state is being perturbed during a given period of time (around the sunrises and sunsets) and it eventually evolves into a new different quasi-stationary basic state. Each of these two quasi-stationary basic states contains its own characteristic oscillation spectrum. Namely, the nighttime-daytime and daytime-nighttime transitions cause perturbations and leave traces in the atmospheric wave dynamics in the region where the recorded VLF signals propagate and reflect. Consequently, the recorded wave amplitude A(t) suffers specific time variations which, when Fourier transformed, yield the oscillation spectrum AF(ω) of hydrodynamic wave modes typical of the locally perturbed atmospheric structure:

display math(1)

where ω≡2π/τ and τ are the oscillation frequency and oscillation period, respectively. These spectra contain a summary information on numerous time-varying influences. Some of them are irregular and their effects are present nonperiodically. Others are more regular like the solar radiation which is dominant during the daytime and cosmic radiation that is more evident at nighttime, for example. All these effects together make the spectrum complex and different for each quasi-stationary domain. The extraction of waves excited by the ST can be carried out by considering the following typical characteristics of the phenomenon: They appear during the ST and after that they are being attenuated to a certain degree; these processes occur both at sunrise and sunset in spite of different daytime/nighttime conditions of the medium and all this together is repeating from day to day.

Figure 1.

Recorded VLF wave amplitude variations in real time for five indicated days during periods of quasi-stationary ((a) preceding and (b) following sunrises and (c) preceding and (b) following sunsets) and nonstationary (shaded domains) basic state.

[8] To see better the effect of induced perturbations, we compute and plot in Figure 2 the ratios of amplitudes:

display math(2)

related to time intervals after (the domains b and d) and before (the domains a and c) the local passage of the ST during the sunrise and sunset, respectively. These two ratios are related to perturbations present at different VLF wave reflection altitudes under the nighttime and daytime conditions, and their local maxima indicate the perturbation frequency spectrum excited by the ST passage and some other possible mechanisms arising from different altitude sampling, time-dependent variations of solar radiation, etc. The effect due to the ST alone can now be filtered out in two steps. First, we introduce additional amplitude ratios:

display math(3)

that compare perturbation spectra related to two different parts of both the daytime and nighttime section of the day (domains b and c, and d and a in Figure 1, respectively) which assumes practically equal altitude sampling for each of the two time intervals. Coefficients given by equation (3) are ratios of Fourier amplitudes appearing in the time interval at the beginning of the daytime/nighttime section to those from the end of the section, which indicates spectral attenuation of excited waves. In other words, peaks in plots for αbc(τ) and αda(τ) in Figure 2 mean that corresponding perturbations have amplitudes that are much smaller at the end than at the beginning of the related time section and, consequently, they can be taken as those excited by the ST at the same sampling altitude. The second step of filtering ST effects out is taking data for more days into consideration which enables notification of excitations by some other sporadic perturbers.

Figure 2.

Spectral amplitude ratios αba(τ) and αbc(τ) related to sunrise, and spectral amplitude ratios αdc(τ) and αda(τ) related to sunset.

3 The Model and Linear Perturbations

[9] To understand the physical nature of excited hydrodynamic oscillation spectra, one has to perform the normal mode analysis assuming linear perturbations in a model atmosphere.

[10] At heights below 90 km where VLF radio waves are being deflected, a typical atmosphere model gives nn∼1021m−3 for the neutral particle density and only np∼108m−3 for charged plasma particles, meaning that here the electric and magnetic effects play little role in local dynamics and that standard hydrodynamic equations can be applied. Thus, we consider adiabatic waves in an ideal neutral gas assumed isothermal and in hydrostatic equilibrium, whose horizontal wavelengths λx,y are sufficiently small in comparison with the radius of the Earth RE=6371 km while the vertical wavelength λz is sufficiently small in comparison with both RE and some temperature inhomogeneity length. This allows for application of the plane parallel geometry with gravitational acceleration inline image (g = 9.81 m/s2) in a locally isothermal medium, which eventually yields the dispersion relation [Yeh and Liu, 1972]:

display math(4)

where kx,y,z≡2π/λx,y,z; inline image is the horizontal wave number, inline image is the characteristic scale height of isothermal atmosphere, γ is the standard ratio of specific heats, inline image is the adiabatic sound speed squared, and NBV is the Brunt-Väisälä frequency given as inline image. The dispersion relation equation (4) is quadratic in ω2 which indicates the existence of two wave modes in the considered medium: the acoustic and gravity modes.

[11] In further analysis, it is convenient to express the dispersion relation equation (4) in terms of wavelengths and wave periods in the following way:

display math(5)


display math

and inline image, inline image, and λ0,z=2π/k0,z, where τ0 and inline imagecorrespond to the acoustic cutoff and Brunt-Väisälä oscillation period, respectively.

[12] The dispersion relation equation (5) represents a family of hyperbolas in a (λ0,λz) plot with τ being a parameter. This is shown in Figure 3 taking 250 K as typical temperature of the ionosphere below 90 km. Depending on τ, equation (5) has two separate domains describing the acoustic modes if inline image and gravity modes for inline image. There are no propagating waves with inline image.

Figure 3.

The (top) acoustic and (bottom) gravity mode branches of the dispersion relation equation (5) for the considered isothermal atmosphere with T0=250 K.

4 Discussion and Conclusions

[13] To visualize the effect of the ST passage on excitation of AGW modes, we plot the ratios αba(τ) and αdc(τ) (panels labeled “excitation” in Figure 2) of amplitudes of Fourier spectra for VLF waves recorded within the two quasi-stationary time periods after and before the period of ST-induced disturbances (shaded domains in Figure 1) both at the sunrise and sunset for five indicated days. As these two spectra correspond to different reflection heights due to different local solar radiation conditions during the two time intervals, they may contain some spectral features of possible local origins in addition to AGW modes excited by ST. To identify the contribution of the ST passage, we compare spectral properties of perturbations excited at the same height by plotting the ratios αbc(τ) and αda(τ) (panels labeled “attenuation” in Figure 2) related to the quasi-stationary time periods at the beginning and end of the daytime and nighttime, respectively. Consequently, these plots indicate changes in amplitudes, i.e., an expected wave damping in the span of daytime/nighttime for perturbations induced by the ST passage.

[14] Figure 2 shows a daily repeating of relative amplitude enhancements for all considered ratios at several distinct oscillation periods within τ= 1–5400 s. The most pronounced harmonic perturbations occur at periods τ≈ 60–100 s. Going to Figure 3, these oscillation periods correspond to acoustic modes with the horizontal wavelength λ0≈ 20–40 km and for any λz> 20 km, or with any horizontal wavelength λ0> 20 km and λz≈ 20–40 km. Another noticeable ST excitations both at sunrises and sunsets occur at τ≈ 300–400 s and at longer periods with τ≈ 1000–3000 s as seen in Figure 2. These perturbations are related to gravity modes with allowed wavelengths λ0 and λz as shown in Figure 3.

[15] In addition to the described properties of amplitude enhancement, there are also some isolated features present at certain days only, like broad peaks around τ≈ 7–10 s appearing on 1 and 2 May 2010 (Figure 2) at sunsets, and for this reason they cannot be related to ST. We also notice amplitude enhancements corresponding to gravity modes with periods τ≈ 700–900 s present during sunrises while, in most cases, they remain practically absent at sunsets. A similar conclusion that ST-generated AGWs can be more pronounced at sunrise than in sunset was also obtained for heights above 100 km by Afraimovich [2008] using the TEC determined by GPS technics.

[16] Our results for the low ionosphere are very similar to those for higher altitudes of the E and F regions from literature. Thus, excitation of AGWs with periods τ< 1200 s is found to be the main origin of the medium-scale traveling ionospheric disturbances in the E and F regions [Hernández-Pajares et al., 2006]. Also, TEC oscillations with periods of about 15 min and those with 1 h were reported in Afraimovich [2008]. Similar fluctuations in the form of magnetohydrodynamic waves were also found in high magnetospheric regions as externally driven modes with typical periods ranging from few seconds to more than 1000 s [De Keyser and Čadež, 2001a, 2001b].

[17] To conclude, we present an extension of studies of the ST-induced AGWs to altitudes of the low ionosphere (60–90 km). Our procedure is based on the analysis of amplitudes of reflected VLF radio waves that are recorded in real time, and it yields an insight into the dynamics in the ionosphere at heights where the VLF waves are being reflected. The obtained results show that the specific perturbation frequencies found to exist in higher regions of the atmosphere are also present in the low ionosphere. In our model atmosphere, they turn out to be the acoustic and gravity waves with comparatively short and long periods, respectively. In other words, the considered periodic perturbation motions in the atmosphere may be of a global nature in a sense that they are attributed to different wave modes of the same oscillation periods existing under physical conditions at corresponding locations in the atmosphere.


[18] The present work was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia as a part of the projects III 44002, 176002, and 176004.

[19] The Editor thanks an anonymous reviewer for the assistance in evaluating this manuscript.