Open Access

A comparison of the equatorial spread F derived by the International Reference Ionosphere and the S4 index observed by FORMOSAT-3/COSMIC during the solar minimum period of 2007–2009

  • G. Uma1, 5Email author,
  • J. Y. Liu1, 2, 3,
  • S. P. Chen1,
  • Y. Y. Sun2,
  • P. S. Brahmanandam1 and
  • C. H. Lin4
Earth, Planets and Space201264:640060467

Received: 3 June 2010

Accepted: 25 October 2011

Published: 27 July 2012


The latest version of the International Reference Ionosphere (IRI-2007) model includes an option for spread-F occurrence prediction for the first-time. The IRI-2007 spread-F occurrence is a function of solar 10.7 cm radiation flux, F10.7. In this paper, an attempt is made to cross-examine the spread-F occurrence derived by the IRI-2007 and the ionospheric scintillations in terms of the maximum value of the S4 index (S4max) between 150–350-km altitudes, calculated from fluctuations of the signal-to-noise ratio (SNR) intensity in the L1 channel of GPS radio occultation signals using FORMOSAT-3/COSMIC (F3/C) satellites during the low solar activity years 2007–2009. It is found that S4max maintains a fairly good consistency with spread-F occurrence simulated by IRI-2007 in the Brazilian region. Thus, the global S4 index statistics can be considered as a viable source of database to be incorporated into the global IRI spread-F prediction scheme owing to fact that the F3/C satellites can provide an unprecedented global database including the S4 index.

Key words

GPS RO technique S4 index IRI-2007 spread-F

1. Introduction

The International Reference Ionosphere (IRI) model is one of most comprehensive empirical models to describe global ionospheric behaviour and variation up to several hundred kilometers (~1500 km). The IRI project was initiated by the Committee on Space Research (COSPAR) and by the International Union of Radio Science (URSI) in the late sixties with the goal of establishing an international standard (empirical model) for the specification of ionospheric parameters based on all worldwide available data from ground-based, as well as satellite, observations (Bilitza and Reinisch, 2008). The IRI model has been steadily improved with newer data and with better mathematical descriptions of global and temporal variation patterns since its inception (Bilitza and Reinisch, 2008). In the latest version of IRI–IRI-2007–several new options are introduced, including a first-time model for the spread-F occurrence probability, which is a regional model for the Brazilian longitude sector/region (Fig. 1) based on the work of Abdu et al. (2003) using ionosonde observations in Brazil. The model describes the variations of the occurrence probability with latitude, local time, day of year, and solar activity (Bilitza and Reinisch, 2008).
Fig. 1.

Locations of 3 ionosondes constructing the IRI Spread-F and an area of S4max isolated. The triangle symbols denote the 3 ionosonde stations at Fortaleza (3.88°S, 38.43°W), Cachoeira Paulista (22.6°S, 45°W), and Intermediate (13°S, 45°W). The area (within 22.5°S, 55°W to 2.5°S, 35°W) for isolating F3/C S4max is denoted by a gray frame.

The Earth’s ionosphere often becomes turbulent and develops electron density irregularities which manifest themselves as spread-F on ionograms, plume-like structures in the range-time-intensity images of HF radars, intensity bite-outs in airglow intensity measurements and scintillations on amplitude, as well as the phase of VHF and UHF signals from satellites, and are commonly referred as equatorial spread-F irregularities (ESF), spanning scale sizes from 10s of centimeters to 100s of kilometers.

There have been many studies on the occurrence characteristics of ionospheric density irregularities using ground-based measurements (Rastogi, 1980; Abdu, 2001), satellite-based in situ measurements (Watanabe and Oya, 1986; Huang et al., 2002; Burke et al., 2004), and topside sounders (Maruyama and Matuura, 1984), and many important features of these have been reported including temporal variations (Sahai et al., 2000; Huang et al., 2002), seasonal-longitudinal variability (Burke et al., 2004), several-day variation, and day-to-day variation (Basu et al., 1996) though several enigmatic features of them are yet to be revealed (Thampi et al., 2009). However, studies on continuous and global characteristic features of ionospheric plasma irregularities are very scanty due to the fact that the global coverage is difficult to obtain from ground-based observations. Moreover, the observational locations are limited around the world and though satellite measurements can cover all longitudes, observational areas are fixed in geographic latitude and the satellite altitudes.

On the other hand, with the aid of low earth orbit (LEO) satellites performing GPS radio occultation (RO) observations, it is possible to obtain global soundings of the atmospheric profiles in three dimensions from the Earth’s surface to the topside of the satellite altitude with a higher vertical resolution (Schreiner et al., 2007). For a better understanding of the global phenomena of ionospheric irregularities, a RO technique using multiple satellites that can provide dense spatial coverage of the world such as FORMOSAT-3/COSMIC (F3/C) is essential. The F3/C configuration consists of six microsatellites at about 800-km altitude which are placed in 72° inclination circular orbits with a separation angle between neighboring orbital planes of 30° longitude. In principle, an occultation takes place when a GPS sets or rises behind the Earth’s atmosphere as seen by the LEO satellite, then the GPS radio signals are received by a receiver on the LEO satellite and such an occultation lasts a few minutes. Once the GPS signal is received at LEO during an occultation, the on-board algorithm, which was implemented into the GPS RO receiver software by the Jet Propulsion Laboratory (JPL) (, computes an average of the intensity fluctuations from the raw 50-Hz L1 amplitude measurements and records it at a 1-Hz rate. A low-pass filter is further applied to a time series of those averages to obtain a new average of the intensity each second. Based on the filtered average (FA), the RMS (root mean square) and S4 (=RMS/FA) index are obtained. On average, nearly 6000 to 7000 S4 index profiles are derived by F3/C per day covering an altitude range from the Earth’s surface to 800 km. For scintillation studies, the F3/C dataset specifically denotes the maximum value and associated location (altitude, latitude, longitude) of each S4 profile (hereafter denoted S4max). In this paper, to help understand the three-dimensional structure of the equatorial F-layer scintillation, spread-F occurrence percentages, derived from IRI-2007, and concurrent F3/C S4max, in the Brazilian region, during the low solar activity years 2007–2009, are investigated.

2. IRI Spread-F Occurrence and F3/C S4 Index at the Brazilian Sector

Figure 1 depicts 3 ionosonde locations for IRI-2007 computing spread-F occurrence probabilities and the area of F3/C S4max isolated in the Brazilian region. Figure 2 compares the F10.7 index and the nocturnal variation of spread-F occurrence probabilities in the Brazilian region between the years 2000 and 2009. Several interesting features can be noted from this figure: the spread-F occurrence probability decreases with a decrease in solar flux; the occurrence probabilities attain larger values from around September to March (spread-F season) of each year; and the onset time of this activity seems to start at around 1830 LT and continues until 0600 LT the following day. Figure 3 illustrates the spread-F occurrence percentage derived by IRI-2007 (Fig. 3(a)) and the S>4max observed by F3/C (Fig. 3(b)) between 150–350 km altitudes in the Brazilian region from 2007 to 2009. A one-to-one correspondence exists between the spread-F occurrence percentage and the S4max in the seasonal variation (correlation coefficient 0.55). Higher percentages are noted during the spread-F season (between September–March) and less, or completely diminished, percentages during the non-spread-F season (between April–August) in each year. It is found that a considerable difference in the onset time is found in the spread-F (1830–1930 LT) and the S4max (1930–2000 LT).
Fig. 2.

Variations of the F10.7 and the Spread-F occurrence probability in the Brazilian region during 2000–2009. (a) F10.7 solar radio flux (b) Spread-F occurrence probability derived from IRI-2007. F10.7 shows that it is solar minimum during 2007–2009 (denoted by the red curve).

Fig. 3.

Spread-F occurrence percentage and S4max at 150–350 km altitude during 2007–2009. (a) The occurrence percentage of IRI Spread-F and (b) the S4max (values 0–1.0).

3. Global S4max Map

As discussed before, the F3/C GPS RO technique enabled us to study the global morphology of ionospheric irregularities causing a scintillation effect (in terms of the S4 index). Figure 4(a) depicts the global variation of S4max from noon to noon in local time (LT) from 150 to 450 km during the M-month (March 21 ±1.5 month) between 2007–2009. It is clear that the equatorial scintillations become more prominent from post-sunset hours and often persist till post-midnight hours (i.e. from 1900 to 0300 LT) mainly at the bottom side of the F-region (150–350 km). Though the S4max increases with increasing altitude up to a 250–300-km bin, its latitudinal decreases, however, and fixes to the equatorial regions particularly between 150 and 450 km, finally disappearing beyond 450 km altitude. S4max in the S- month (September 21 ±1.5 month) shows that the intense scintillation activity appears near the equator and low latitudes in the F-region similar to the M-month as can be seen in Fig. 4(a). Figure 4(d) shows during the D-month (December 21 ±1.5 month) that the scintillation activity becomes less intense and asymmetric. The S4max in the southern/summer hemisphere is slightly greater than that in the northern/winter one. By contrast, Fig. 4(b) reveals that during the J-month (June 21 ±1.5 month), the intensity of the scintillation activity becomes much less compared to other seasons, and in the F-region it almost disappears beyond the 300–350-km altitude bin. In general, S4max yields the greatest value and the highest altitude during the M-month, followed by the S-, D-, and J-months.
Fig. 4.

Global S4max from noon to noon at various altitudes observed by F3/C during 2007–2009. Each subplot shows S4max data integrated with a 50-km-altitude bin interval from 150–600 km. (a) M-month, (b) J-month, (c) S-month, and (d) D-month.

4. Discussion and Summary

It is generally accepted that the generalized Rayleigh-Taylor instability (RTI) mechanism is responsible for the generation and growth of equatorial spread-F irregularities (Zalesak and Ossakow, 1980; Kelley, 1989; Sultan, 1996), which occur over a wide range of scale sizes, as has been established from various diagnostic techniques. The occurrence of spread-F irregularities is associated with post sunset height rise in the F-region (Chandra and Rastogi, 1972) which is highly affected by the upward E ×B drifts in pre-reversal enhancement (PRE), and is strongly dependent on the solar activity level and season (Fejer et al., 1991, 2008; Scherliess and Fejer, 1999). Thus, it is conceivable to expect higher spread-F occurrence percentages by IRI during the sunspot maximum, which, in general, establishes a positive correlation between them (Fig. 2) (Abdu et al., 1992; Subba Rao and Krishna Murthy, 1994).

Tsunoda (1985) shows that the ionospheric irregularity occurrence is a maximum when sunsets in the conjugate E-region are simultaneous. Simultaneous sunset is expected to intensify the so-called PRE (Abdu et al., 1981, 1992, 2010; Batista et al., 1986), a favorable and sufficient condition for the initiation of RTI. The angle between the geomagnetic meridian and the sunset terminator line was introduced as a proxy of the simultaneous sunset in the conjugate points (Burke et al., 2004). Since, in the Brazilian longitude sector, the angle tends to be much closer during November–February than March–September, higher occurrence probabilities and greater S4max are more expected during the November–February (see Figs. 2 and 3).

The time lag in onset timings between spread-F and S4max (Fig. 3) is primarily due to the physical processes involved in the generation of different scale sizes of the irregularities responsible for producing spread-F and scintillation effects. It is recognized that the spread-F in ionograms is associated with large scale (100s of km) plasma depletions, that originate initially at the F-layer bottomside (by the RTI mechanism) and, in turn, rise nonlinearly to the topside. These rising bubbles with the passage of time can bifurcate to form small-scale irregularities by cascade, or two step, mechanisms (Ossakow, 1981). Such smaller-scale irregularities effectively produce scintillations at the L-band (Basu et al., 1978; DasGupta et al., 1982).

In summary, it is shown that the IRI-2007 spread-F prediction model based on the Brazilian region data reflects well the temporal, diurnal and seasonal variations, and such variations are also found in the S4 index data. Therefore, the global S4 index data obtained by the F3/C GPS RO technique might be usefully incorporated into the global IRI spread-F prediction scheme.



The S4 index data are obtained from TACC (Taiwan Analysis Center for COSMIC) and CDAAC (COSMIC Data Analysis and Archive Center). This research is supported by the National Science Council (NSC) grant, NSC 98-2111-M-008-MY3. Research works of G. Uma and P. S. Brahmanandam are supported by the National Space Program Office (NSPO) grants, 98-NSPO (B)-IC-FA07-01 (A) and 98-NSPO(B)-IC-FA07-01(L).

Authors’ Affiliations

Institute of Space Science, National Central University
Center for Space and Remote Sensing Research, National Central University
National Space Organization
Plasma and Space Science Center
Department of Electronics and Communication Engineering, Koneru Lakshmaiah University


  1. Abdu, M. A., Outstanding problems in the equatorial ionosphere thermosphere electrodynamics relevant to spread-F, Journal of Atmospheric and Solar-Terrestrial Physics, 63, 869–884, 2001.View ArticleGoogle Scholar
  2. Abdu, M. A., J. A. Bittencourt, and I. S. Batista, Magnetic declination control of the equatorial F region Dynamo field development and spread F, J. Geophys. Res., 86(11), 11443–11446, 1981.View ArticleGoogle Scholar
  3. Abdu, M. A., I. S. Batista, and J. H. Sobral, A new aspect of magnetic declination control of equatorial spread-F and F-region dynamo, J. Geophys. Res., 97, 14897–14904, 1992.View ArticleGoogle Scholar
  4. Abdu, M., J. Souza, I. Batista, and J. Sobral, Equatorial spread-F statistics and empirical representation for IRI: A regional model for the Brazilian longitude sector, Adv. Space Res., 31(3), 703–716, 2003.View ArticleGoogle Scholar
  5. Abdu, M. A., I. S. Batista, C. G. M. Brum, J. W. MacDougall, A. M. Santos, J. R. de Souza, and J. H. A. Sobral, Solar flux effects on the equatorial evening vertical drift and meridional winds over Brazil: A comparison between observational data and the IRI model and the HWM representation, Adv. Space Res., 46, 1078–1085, 2010.View ArticleGoogle Scholar
  6. Basu, S., Su. Basu, J. Aarons, J. P. McClure, and M. D. Cousions, On the coexistence of kilometer-and meter-scale irregularities in the nighttime equatorial F region, J. Geophys. Res., 83, 4219–4226, 1978.View ArticleGoogle Scholar
  7. Basu, S., E. Kudeki, Su. Basu, C. E. Valladares, E. J. Weber, H. P. Zengin-gonul, S. Bhattacharyya, R. Sheehan, J. W. Meriwether, M. A. Biondi, H. Kuenzler, and J. Espinoza, Scintillations, plasma drifts, and neutral winds in the equatorial ionosphere after sunset, J. Geophys. Res., 101, 26795, 1996.View ArticleGoogle Scholar
  8. Batista, I. S., M. A. Abdu, and J. A. Bittencourt, Equatorial F-region vertical plasma drifts: seasonal and longitudinal asymmetries in the American sector, J. Geophys. Res., 91, 12055–12064, 1986.View ArticleGoogle Scholar
  9. Bilitza, D. and B. W. Reinisch, International Reference Ionosphere 2007: Improvements and New parameters, Adv. Space Res., 42, 599–609, doi:10.1016/j.asr.2007.07.048, 2008.View ArticleGoogle Scholar
  10. Burke, W. J., L. C. Gentile, C. Y. Huang, C. E. Valladares, and S.-Y. Su, Longitudinal variability of equatorial plasma bubbles observed by DMSP and ROCSAT-1, J. Geophys. Res., 109, A12301, doi:10.1029/2004JA010583, 2004.View ArticleGoogle Scholar
  11. Chandra, H. and R. G. Rastogi, Equatorial spread-F over a solar cycle, Ann. Geophys., 28, 37–44, 1972.Google Scholar
  12. DasGupta, A., J. Aarons, J. A. Klobuchar, S. Basu, and A. Bushby, Ionospheric electron content depletions associated with amplitude scintillations in the equatorial region, Geophys. Res. Lett., 9(2), 147–150, 1982.View ArticleGoogle Scholar
  13. Fejer, B. G., E. R. de Paula, S. A. Gonzalez, and R. F. Woodman, Average vertical and zonal F region plasma drifts over Jicamarca, J. Geophys. Res., 96, 13,901–13,906, doi:10.1029/91JA01171, 1991.View ArticleGoogle Scholar
  14. Fejer, B. G., J. W. Jensen, and S.-Y. Su, Quiet time equatorial F region vertical plasma drift model derived from ROCSAT-1 observations, J. Geophys. Res., 113, A05304, doi:10.1029/2007JA012801, 2008.Google Scholar
  15. Huang, C. Y., W. H. Burke, J. S. Machuzak, L. C. Gentile, and P. J. Sultan, Equatorial plasma bubbles observed by DMSP satellites during a full solar cycle: Toward a global climatology, J. Geophys. Res., 107(A12), 1434, doi:10.1029/2002JA009452, 2002.View ArticleGoogle Scholar
  16. Kelley, M. C., The Earth’s ionosphere, Plasma Physics and Electrodynamics, Academic, San Diego, California, 1989.Google Scholar
  17. Maruyama, T. and N. Matuura, Longitudinal variability of annual changes in activity of equatorial Spread-F and plasma bubbles, J. Geophys. Res., 89, 10,903–10,912, 1984.View ArticleGoogle Scholar
  18. Ossakow, S. L., Spread-F theories: A review, J. Atmos. Sol.-Terr. Phys., 43, 437–452, doi:10.1016/0021-9169(81)90107-0, 1981.View ArticleGoogle Scholar
  19. Rastogi, R. G., Seasonal variation of equatorial spread-F in the American and Indian zones, J. Geophys. Res., 85(2), 722–726, 1980.View ArticleGoogle Scholar
  20. Sahai, Y., P. R. Fagundes, and J. A. Bittencourt, Transequatorial F-region ionospheric plasma bubbles: Solar cycle effects, J. Atmos. Sol.-Terr. Phys., 62, 1377–1383, 2000.View ArticleGoogle Scholar
  21. Scherliess, L. and B. G. Fejer, Radar and satellite global equatorial F region vertical drift model, J. Geophys. Res., 104, 6829–6842, doi:10.1029/1999JA900025, 1999.View ArticleGoogle Scholar
  22. Schreiner, W., C. Rocken, S. Sokolovskiy, S. Syndergaard, and D. Hunt, Estimates of the precision of GPS radio occultations from the COSMIC/FORMOSAT-3 mission, Geophys. Res. Lett., 34, L04808, doi:10.1029/2006GL027557, 2007.View ArticleGoogle Scholar
  23. Subba Rao, K. S. V. Murthy, and B. V. Krishna Murthy, Seasonal variations of equatorial spread-F, Ann. Geophys., 12, 33–39, 1994.Google Scholar
  24. Sultan, P. J., Linear theory and modeling of the Rayleigh-Taylor instability leading to the occurrence of equatorial spread-F, J. Geophys. Res., 101, 26875, 1996.View ArticleGoogle Scholar
  25. Thampi, S. V., M. Yamamoto, R. T. Tsunoda, Y. Otsuka, T. Tsugawa, J. Uemoto, and M. Ishii, First observations of large-scale wave structure and equatorial spread-F using CERTO radio beacon on the C/NOFS satellite, Geophys. Res. Lett., 36, L18111, doi:10.1029/2009GL039887, 2009.View ArticleGoogle Scholar
  26. Tsunoda, R. T., Control of the seasonal and longitudinal occurrence of equatorial scintillations by the longitudinal gradient in integrated E region Pedersen conductivity, J. Geophys. Res., 90, 447–456, 1985.View ArticleGoogle Scholar
  27. Watanabe, S. and H. Oya, Occurrence characteristics of low latitude ionosphere irregularities observed by impedance probe on board the Hinotori satellite, J. Geophys. Res., 38, 125–149, 1986.Google Scholar
  28. Zalesak, S. T. and S. L. Ossakow, Nonlinear equatorial spread-F: Spatially large bubbles resulting from large horizontal scale initial perturbations, J. Geophys. Res., 85, 2131, 1980.View ArticleGoogle Scholar


© The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB. 2012