Ann. Geophys., 31, 2085–2096, 2013 www.ann-geophys.net/31/2085/2013/ doi:10.5194/angeo-31-2085-2013 © Author(s) 2013. CC Attribution 3.0 License. Annales Geophysicae O pen A ccess Comparison of equatorial GPS-TEC observations over an African station and an American station during the minimum and ascending phases of solar cycle 24 A. O. Akala1, G. K. Seemala2, P. H. Doherty3, C. E. Valladares3, C. S. Carrano3, J. Espinoza4, and S. Oluyo5 1Department of Physics, University of Lagos, Akoka, Yaba, Lagos, Nigeria 2Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan 3Institute for Scientific Research, Boston College, Chestnut Hill, MA, USA 4Jicamarca Radio Observatory, Lima, Peru 5Department of Physical Science, Yaba College of Technology, Yaba, Lagos, Nigeria Correspondence to: A. O. Akala (akalaovie2004@yahoo.com) Received: 10 April 2013 – Revised: 23 August 2013 – Accepted: 23 October 2013 – Published: 22 November 2013 Abstract. GPS-TEC data were observed at the same local time at two equatorial stations on both longitudes: Lagos (6.52◦ N, 3.4◦ E, 3.04◦ S magnetic latitude), Nigeria; and Pu- callpa (8.38◦ S, 74.57◦ W, 4.25◦ N magnetic latitude), Peru during the minimum (2009, 2010) and ascending (2011) phases of solar cycle 24. These data were grouped into daily, seasonal and solar activity sets. The day-to-day variations in vertical TEC (VTEC) recorded the maximum during 14:00– 16:00 LT and minimum during 04:00–06:00 LT at both longi- tudes. Seasonally, during solar minimum, maximum VTEC values were observed during March equinox and minimum during solstices. However, during the ascending phase of the solar activity, the maximum values were recorded dur- ing the December solstice and minimum during the June sol- stice. VTEC also increased with solar activity at both lon- gitudes. On longitude by longitude comparison, the African GPS station generally recorded higher VTEC values than the American GPS station. Furthermore, harmonic analysis tech- nique was used to extract the annual and semi-annual com- ponents of the amplitudes of the TEC series at both stations. The semi-annual variations dominated the TEC series over the African equatorial station, while the annual variations dominated those over the American equatorial station. The GPS-TEC-derived averages for non-storm days were com- pared with the corresponding values derived by the IRI-2007 with the NeQuick topside option. The NeQuick option of IRI-2007 showed better performance at the American sector than the African sector, but generally underestimating TEC during the early morning hours at both longitudes. Keywords. Ionosphere (Equatorial ionosphere) 1 Introduction The ionosphere over the equatorial latitudes is highly dy- namic, and consequently poses serious threats to commu- nication and navigation systems (Akala et al., 2010a, 2011, 2012). The ionospheric parameter that has an over-bearing influence on the GPS based communication and navigation systems is the total electron content (TEC) (Akala et al., 2013). The range errors in GPS signals are directly pro- portional to TEC; hence, any variations thereof are a mat- ter of concern (Galav et al., 2010). Consequently, detailed knowledge of TEC distributions and variations will be a re- liable tool for successful GPS based navigation. To this end, a number of regions have established regional networks of GPS stations, to provide real-time forecasting of ionospheric TEC variations for aviation applications. Unfortunately, such a network has not been built in Africa. The African continent has the largest landmass under the equatorial anomaly strip, with an ionosphere that is char- acterised with complex electrodynamic structures that are not yet well understood. Perhaps, this could be largely due to the sparse results of ionospheric studies from the conti- nent. Earlier, Burke et al. (2004); Gentile et al. (2006, 2011), Published by Copernicus Publications on behalf of the European Geosciences Union. 2086 A. O. Akala et al.: Comparison of equatorial GPS-TEC observations using the Defense Metrological Satellite Programme, DMSP; Hei et al. (2005), using the Atmospheric Explorer E, AE- E, and Fejer et al. (2008); Kil et al. (2009a, b), using Re- public of China satellite, ROCSAT-1 observations, reported the dominance of ionospheric irregularities (plasma bubbles) over the equatorial African ionosphere during all the seasons except the December solstice, in comparison with those of other equatorial longitudes, namely: the Pacific, Indian and American longitudes. For better understanding of the elec- trodynamics over the African ionosphere, especially in the equatorial region of the continent, it is pertinent to compare the ionospheric behaviour over the region with other regions with better history of ionospheric studies (e.g. South Amer- ica). Prior to the end of solar cycle 23, when GPS receivers were installed at some locations across Africa, TEC data were gen- erally lacking in Africa, and characterisation of TEC over the region has majorly relied on empirical models (e.g. the Inter- national Reference Ionosphere (IRI)) and in situ satellite (e.g. TOPEX) measurements. At times, results from these models do show discrepancies from real observations. Consequently, analyses of real-time observations of ionospheric parameters are significant indices for improving the overall effectiveness of these models. IRI-2007 provides three different options (NeQuick, IRI01-corr, and IRI-2001) for the topside elec- tron density, and two options for bottomside thickness B0. Of the three options of IRI-2007, NeQuick seems to provide the best predictions of ionospheric TEC (Coisson et al., 2006; Chauhan and Singh, 2010). For this reason, this study com- pares only the NeQuick option of IRI-2007 with the GPS- derived TEC. We also investigated the annual and semiannual varia- tions of TEC series at both stations. One basic mathemat- ical apparatus that could illustrate annual and semiannual variations of ionospheric data series, for better understand- ing of ionospheric climatology is the orthogonal eigenfunc- tions expansion technique (e.g. Fourier analysis) (Zhao et al., 2005, 2007; Liu et al., 2009; A et al., 2012), in which the first harmonic and higher-order harmonics are extracted. The semiannual variation of the ionosphere has been stud- ied to show ionization maxima in equinoxes and minima in solstices (Rishbeth and Setty, 1961); the maxima arise from the optimized effect of the thermospheric composition and solar zenith angle at equinoxes when the thermospheric cir- culation is most symmetric. Fuller-Rowell (1998) suggested that the increased internal mixing at solstices can explain the semiannual neutral density variation, and it was proposed that the global-scale circulation at solstice acts like a huge spoon to mix the major thermospheric species (oxygen and nitrogen), causing less diffusive separation of the species at solstices. As a consequence, the ratio of O/N2 has clear annual and semiannual variations at most longitudes. Ther- mospheric winds push plasma up and down geomagnetic field lines and transport plasma from one hemisphere to the other by modulating the field-aligned flows, which further influences the latitudinal structure of plasma, thereby lead- ing to hemispheric asymmetries (Watanabe et al., 1995). Pending the time that a trustworthy GPS network will be in vogue in Africa, contributions from individual GPS re- ceivers, most of which were just installed towards the end of the last solar cycle (cycle 23), basically for scientific stud- ies, will continue to play pivotal roles in providing necessary data analysis and interpretation on which the understanding of ionospheric phenomenon over Africa could be based, es- pecially in the equatorial region of the continent. The goal of this study is to compare ionospheric TEC char- acteristics over an African GPS station and an American GPS station on diurnal and seasonal scales, and to study the per- formance of IRI-2007 (NeQuick option) predictions of TEC at both longitudes during the minimum and ascending phases of solar cycle 24. The motive is to present preliminary re- sults that could spur future investigations on the practicality of using documented histories of TEC or general ionospheric electrodynamics over the equatorial South American region as the benchmark for defining the expected TEC/ionospheric electrodynamics over other equatorial regions of the world with limited archives of ionospheric studies (e.g. Africa). Ad- ditionally, the previous deep solar minimum (2009) was the lowest among the past few solar cycles, therefore, 2009 TEC data present the opportunities for sensitivity studies of quiet- time ionospheric phenomena. Furthermore, these low solar activity observations may assist in the future modelling of the lowest range error margins for GPS based navigation system in the African and American equatorial sectors. 2 Data and method of analysis GPS-TEC data at the same local time during the minimum (2009 {Zurich sunspot number (Rz): 3.0 }; 2010 {Rz: 16.5 }) and ascending (2011 {Rz: 56.0 }) phases of solar cycle 24 at two stations, namely; Lagos (6.52◦ N, 3.4◦ E, 3.04◦ S mag- netic latitude), Nigeria [AFRICA] and Pucallpa (8.38◦ S, 74.57◦ W, 4.25◦ N magnetic latitude), Peru [SOUTH AMER- ICA] were used for this investigation. Several NovAtel GSV4004B GPS receivers, being man- aged by Boston College were installed towards the end of the last solar cycle (cycle 23) in the instrument arrays of Low- latitude Ionospheric Sensor Network (LISN). Specifically, the GPS receiver at Pucallpa became operational in March 2007, while that of Lagos became operational in February 2008. LISN is an international project that monitors iono- spheric phenomenon, with special interest on the low-latitude ionosphere. The project is being managed by the Geophysi- cal Institute of Peru, in collaboration with other international institutions. The data from all the instruments in the network are usually uploaded to a Central Server, being hosted by the Geophysical Institute of Peru. LISN TEC data are archived in Receiver INdependent Ex- change (RINEX) format. The RINEX formatted files for the Ann. Geophys., 31, 2085–2096, 2013 www.ann-geophys.net/31/2085/2013/ A. O. Akala et al.: Comparison of equatorial GPS-TEC observations 2087 Fig. 1. Diurnal variation of the mean VTEC values for all seasons at Lagos and Pucallpa stations during 2009, 2010, and 2011 respectively. 0 20 40 60 V T E C ( T E C U ) MAR EQUI, 2009LAG PUC JUN SOLS, 2009 SEP EQUI, 2009 DEC SOLS, 2009 0 20 40 60 V T E C ( T E C U ) MAR EQUI, 2010LAG PUC JUN SOLS, 2010 SEP EQUI, 2010 DEC SOLS, 2010 0 20 40 60 0 2 4 6 8 10 12 14 16 18 20 22 24 V T E C ( T E C U ) LT (Hrs) MAR EQUI, 2011LAG PUC 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) JUN SOLS, 2011 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) SEP EQUI, 2011 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) DEC SOLS, 2011 Fig. 1. Diurnal variation of the mean VTEC values for all seasons at Lagos and Pucallpa stations during 2009, 2010, and 2011 respectively. two stations under investigation for years 2009–2011 were processed by the GPS-TEC RINEX files processing software developed by the second author of this paper. Receiver and satellites biases, obtained from the Data Centre of the Bern University, Switzerland were carefully removed from the raw slant TEC data to produce the corresponding true slant TEC. The GPS-TEC RINEX files processing software converts the true slant TEC to vertical TEC (VTEC) by assuming that the ionosphere is a thin shell at an altitude of 350 km, via a mapping function given by Mannucci et al. (1993); Ma and Maruyama (2003). Furthermore, in order to eliminate multipath effects from the data, elevation angle cut-off of 30◦ was adopted. The pro- cessed VTEC data were grouped into daily, seasonal and so- lar activity (annual) sets. For the seasonal grouping of the data, we used the associated three months of data for each season: March equinox (February, March, and April), June solstice (May, June, and July), September equinox (August, September, and October), and December solstice (Novem- ber, December, and January) (Akala et al., 2010b). All the measurements within the hourly bin of a given dataset were averaged together to provide a single data point for each lo- cal time hour. The differences of the hourly averages of data at Pucallpa from those at Lagos at the same local time (LT) were evaluated to study the extent of data correlations at both longitudes. We also determined the relative variations (RV) of VTEC data at the African and American stations via: RV = VTECAf −VTECAm (0.5 · (VTECAf +VTECAm)) (1) Twelve point Fourier analysis was performed on the annual TEC data (monthly averages at a given local time as a repre- sentative of each month) from both stations at the same local time so as to derive the annual (A1) and semiannual (A2) components of the amplitude of the TEC series. Thereafter, these components were extracted and analysed. Finally, we compared the hourly averages of the GPS-derived TEC for each season at the two stations for non-storm days with the corresponding values derived by the NeQuick option of IRI- 2007. A storm day was defined as a day with the Kp index greater than 2. We specified 2000 km for upper boundary of electron density profile and B0 Table option for bottomside electron density profile shape parameter. Furthermore, we determined the percentage deviations (% Dev) of GPS-derived TEC data from those derived by IRI- 2007, using Eq. (2). %Dev = ( Obs− IRI Obs ) × 100 (2) where Obs represents the GPS-derived TEC values, and IRI represents those derived by IRI-2007. www.ann-geophys.net/31/2085/2013/ Ann. Geophys., 31, 2085–2096, 2013 2088 A. O. Akala et al.: Comparison of equatorial GPS-TEC observations Fig. 2. Seasonal deviations of the mean VTEC values at Pucallpa from those at Lagos, during (a) 2009 (b) 2010, and (c) 2011. Corresponding relative variations during (d) 2009 (e) 2010, and (f) 2011. -10 -5 0 5 10 15 20 0 2 4 6 8 10 12 14 16 18 20 22 24 V T E C A f - V T E C A m ( T E C U ) LT (Hrs) 2009MAR EQUI JUN SOLS SEP EQUI DEC SOLS -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 0 2 4 6 8 10 12 14 16 18 20 22 24 R e la ti v e V a ri a ti o n LT (Hrs) 2009 MAR EQUI JUN SOLS SEP EQUI DEC SOLS -10 -5 0 5 10 15 20 0 2 4 6 8 10 12 14 16 18 20 22 24 V T E C A f - V T E C A m (T E C U ) LT (Hrs) 2010MAR EQUI JUN SOLS SEP EQUI DEC SOLS -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 0 2 4 6 8 10 12 14 16 18 20 22 24 R e la ti v e V a ri a ti o n LT (Hrs) 2010MAR EQUI JUN SOLS SEP EQUI DEC SOLS -10 -5 0 5 10 15 20 0 2 4 6 8 10 12 14 16 18 20 22 24 V T E C A f - V T E C A m (T E C U ) LT (Hrs) 2011MAR EQUI JUN SOLS SEP EQUI DEC SOLS -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 0 2 4 6 8 10 12 14 16 18 20 22 24 R e la ti v e V a ri a ti o n LT (Hrs) 2011MAR EQUI JUN SOLS SEP EQUI DEC SOLS (d) (a) (b) (e) (f) (c) Fig. 2. Seasonal deviations of the mean VTEC values at Pucallpa from those at Lagos, during (a) 2009 (b) 2010, and (c) 2011. Corresponding relative variations during (d) 2009 (e) 2010, and (f) 2011. 3 Results Figure 1 shows the diurnal variations of the mean VTEC values over Lagos and Pucallpa for all seasons during years 2009; 2010 (solar minimum) and 2011 (ascending phase of solar activity). Diurnally, the mean VTEC values showed early morning (post-sunrise) minimum, and post-midday maximum. During the solar minimum (2009) at the Lagos sta- tion, March equinox (MAR EQUI) recorded the highest VTEC value (∼ 28 TECU) at 16:00 LT. September equinox (SEP EQUI) recorded VTEC peak value of 26.5 TECU at 16:00 LT. The diurnal plots of the mean VTEC for June and December solstices (JUN SOLS and DEC SOLS) almost su- perimposed, with a maximum value of about 22 TECU at 04:00 LT. A seasonal minimum value of about 5.3 TECU at 04:00 LT was recorded during all the seasons. At Pu- callpa, MAR EQUI recorded the highest VTEC value (∼ 27.4 TECU) at 15:00 LT. JUN SOLS recorded VTEC peak value of 21.5 TECU at 15:00 LT. SEP EQUI recorded VTEC peak value of 26.9 TECU at 14:00 LT, while DEC SOLS recorded a maximum value of about 22.9 TECU. A common minimum TEC value of about 4.75 TECU at 05:00 LT was recorded during all the seasons. In 2010, at the Lagos station, MAR EQUI recorded the highest VTEC value (∼ 37.5 TECU) at 15:00 LT, while SEP EQUI recorded VTEC peak value of 35.7 TECU at 15:00 LT. The diurnal plots of the mean VTEC for JUN SOLS and DEC SOLS superimposed, with maximum value of about 30.5 TECU at 15:00 LT. A common minimum TEC value of about 4.66 TECU at 05:00 LT was recorded for all the seasons. At the Pucallpa station, MAR EQUI recorded the highest VTEC value (∼ 34.8 TECU) at 15:00 LT, while DEC SOLS recorded VTEC peak value of 31.5 TECU at 15:00 LT. SEP EQUI recorded VTEC peak value of 25.7 TECU at 15:00 LT and 23.5 TECU at 16:00 LT for the JUN SOLS. A common minimum TEC value of about 4.91 TECU at 05:00 LT was recorded for all the seasons. Ann. Geophys., 31, 2085–2096, 2013 www.ann-geophys.net/31/2085/2013/ A. O. Akala et al.: Comparison of equatorial GPS-TEC observations 2089 Fig. 3. Amplitudes of the annual (A1) and semiannual (A2) components over the same local time at Lagos and Pucallpa stations during (a) 2009, (b) 2010 and (c) 2011. Corresponding A1/A2 ratio at both stations during (d) 2009, (e) 2010 and (f) 2011. 0 2 4 6 8 10 12 14 16 18 0 2 4 6 8 10 12 14 16 18 20 22 24 A 1 , A 2 LT (Hrs) A1(LAG) A1(PUC) A2(LAG) A2(PUC) 0 2 4 6 8 0 2 4 6 8 10 12 14 16 18 20 22 24 A 1 /A 2 LT (Hrs) LAG PUC 0 2 4 6 8 10 12 14 16 18 0 2 4 6 8 10 12 14 16 18 20 22 24 A 1 , A 2 LT (Hrs) A1(LAG) A1(PUC) A2(LAG) A2(PUC) 0 2 4 6 8 0 2 4 6 8 10 12 14 16 18 20 22 24 A 1 /A 2 LT (Hrs) LAG PUC 0 2 4 6 8 10 12 14 16 18 0 2 4 6 8 10 12 14 16 18 20 22 24 A 1 , A 2 LT (Hrs) A1(LAG) A1(PUC) A2(LAG) A2(PUC) 0 2 4 6 8 0 2 4 6 8 10 12 14 16 18 20 22 24 A 1 /A 2 LT (Hrs) LAG PUC (a) (b) (c) (f) (e) (d) Fig. 3. Amplitudes of the annual (A1) and semiannual (A2) components over the same local time at Lagos and Pucallpa stations during (a) 2009, (b) 2010 and (c) 2011 Corres onding A1/A2 ratio t both stations during (d) 2009, (e) 2010 and (f) 2011. In 2011, at the Lagos station, SEP EQUI and DEC SOLS recorded the highest VTEC value (∼ 51 TECU), while MAR EQUI recorded VTEC peak value of 45 TECU, all at 15:00 LT, and 36 TECU at 16:00 LT for the JUN SOLS. A common minimum TEC value of 5.5 TECU at 05:00 LT was recorded for all the seasons. At the Pucallpa station, DEC SOLS recorded the highest VTEC value (∼ 51 TECU), SEP EQUI recorded VTEC peak value of 48.3 TECU at 15:00 LT. MAR EQUI recorded VTEC peak value of 37 TECU at 16:00 LT, with a minimum of 5.5 TECU at 05:00 LT for the DEC SOLS and MAR EQUI. JUN SOLS recorded VTEC peak value of 28.5 TECU at 14:00 LT, with a seasonal mini- mum of 4.2 TECU at 06:00 LT for the JUN SOLS and SEP EQUI. The observed enhancement in TEC records in the last quarter of 2011 could be attributed to the corresponding en- hancement in solar flux, signifying a gradual transition to the year of high solar activity (Fig. 4a–b). Seasonally, with the exception of the 2011 VTEC data which showed DEC SOLS and SEP EQUI maximum, and minimum during JUN SOLS, 2009 and 2010 showed maximum VTEC peaks during the MAR EQUI, and minimum during the JUN SOLS at both stations. Figure 2a–c show the seasonal deviations of the mean VTEC values at Pucallpa from the mean VTEC values at Lagos, at the same local time (LT) for 2009, 2010 and 2011 respectively. Figure 2d–e show the corresponding rel- ative variations of VTEC at the two stations. The data at the two stations are reasonably correlated during the pre- sunrise hours (00:00–06:00), with marked disparities be- tween 07:00–18:00 for the three years. Overall, the recorded data at the Lagos station were higher than those recorded at Pucallpa. However, the Pucallpa VTEC data leads those of Lagos during the DEC SOLS, and the post-midnight and post-sunset hours in MAR EQUI. Figure 3a–c show the amplitudes of the annual (A1) and semiannual (A2) components of the TEC series over La- gos and Pucallpa the same local time at for 2009, 2010 and 2011 respectively. Figure 3d–e show the correspond- ing A1/A2 ratio for the two stations. At the Lagos station, the semiannual component is dominant, while the annual component is dominant at the Pucallpa station. Figure 4a www.ann-geophys.net/31/2085/2013/ Ann. Geophys., 31, 2085–2096, 2013 2090 A. O. Akala et al.: Comparison of equatorial GPS-TEC observations Fig. 4(a) Plots of monthly sunspot number and the maximum monthly average value of monthly VTEC for 2009, 2010, and 2011 (b) Plot of F10.7 cm solar flux for 2009, 2010, and 2011. 0 20 40 60 80 100 120 0 20 40 60 80 100 M o n th ly s u n sp o t n u m b e r M a x m o n th ly a v e ra g e V T E C ( T E C U ) Year LAG MAX GPS-TEC PUC MAX GPS-TEC Sunspot number 50 100 150 200 F 1 0 .7 c m Year 2009 2010 2011 2012 2009 2010 2011 2012 (a) (b) Fig. 4. (a) Plots of monthly sunspot number and the maximum monthly average value of monthly VTEC for 2009, 2010, and 2011 (b) plot of F10.7 cm solar flux for 2009, 2010, and 2011. Fig. 5. Comparison of the diurnal variation of the mean GPS-VTEC values (storm days were isolated) with those derived from the IRI-2007 NeQuick topside option for all seasons at Lagos (LAG) during 2009, 2010, and 2011 respectively. 0 10 20 30 40 50 60 T E C ( T E C U ) LAG, 2009 MAR EQUI GPS-TEC IRI-2007 LAG, 2009 JUN SOLS LAG, 2009 SEP EQUI LAG, 2009 DEC SOLS 0 10 20 30 40 50 60 T E C ( T E C U ) LAG, 2010 MAR EQUI GPS-TEC IRI-2007 LAG, 2010 JUN SOLS LAG, 2010 SEP EQUI LAG, 2010 DEC SOLS 0 10 20 30 40 50 60 0 2 4 6 8 10 12 14 16 18 20 22 24 T E C ( T E C U ) LT (Hrs) LAG, 2011 MAR EQUI GPS-TEC IRI-2007 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) LAG, 2011 JUN SOLS 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) LAG, 2011 SEP EQUI 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) LAG, 2011 DEC SOLS Fig. 5. Comparison of the diurnal variation of the mean GPS-VTEC values (storm days were isolated) with those derived from the IRI-2007 NeQuick topside option for all seasons at Lagos (LAG) during 2009, 2010, and 2011 respectively. shows the superimposition of the monthly sunspot number on the maximum monthly average value of monthly VTEC for the three years under investigation. VTEC values increase with sunspot number, and the VTEC correlated well with the sunspot number, especially as the solar activity increases. Figure 4b shows the F10.7 cm solar flux plots for 2009, 2010, and 2011. At both stations, VTEC correlated reasonably well with the F10.7 cm solar flux. Figure 5 shows the comparison of the diurnal variations of the mean GPS-VTEC values with the storm days removed Ann. Geophys., 31, 2085–2096, 2013 www.ann-geophys.net/31/2085/2013/ A. O. Akala et al.: Comparison of equatorial GPS-TEC observations 2091 Fig. 6. Comparison of the diurnal variation of the mean GPS-VTEC values (storm days were isolated) with those derived from the IRI-2007 NeQuick topside option for all seasons at Pucallpa (PUC) during 2009, 2010, and 2011 respectively. 0 10 20 30 40 50 60 T E C ( T E C U ) PUC, 2009 MAR EQUI GPS-TEC IRI-2007 PUC, 2009 JUN SOLS PUC, 2009 SEP EQUI PUC, 2009 DEC SOLS 0 10 20 30 40 50 60 T E C ( T E C U ) PUC, 2010 MAR EQUI GPS-TEC IRI-2007 PUC, 2010 JUN SOLS PUC, 2010 SEP EQUI PUC, 2010 DEC SOLS 0 10 20 30 40 50 60 0 2 4 6 8 10 12 14 16 18 20 22 24 T E C ( T E C U ) LT (Hrs) PUC, 2011 MAR EQUI GPS-TEC IRI-2007 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) PUC, 2011 JUN SOLS 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) PUC, 2011 SEP EQUI 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) PUC, 2011 DEC SOLS Fig. 6. Comparison of the diurnal variation of the mea GPS-VTEC values (storm days were isolated) with th se derived from the IRI-2007 NeQuick topside option for all seasons at Pucallpa (PUC) during 2009, 2010, and 2011 respectively. before the seasonal averaging for each local time hour, with those derived from the IRI-2007 with the NeQuick topside option for all the seasons at Lagos (LAG) during 2009, 2010, and 2011 respectively. Figure 6 shows a similar comparison for Pucallpa. The years of low solar minimum were charac- terised with fewer storms, which made the diurnal variations of the GPS-TEC values at both stations for all the seasons when storm days were excluded in the seasonal averaging for each local time hour to be similar to those obtained when storm days were included (Figs. 1, 5 and 6). However, year 2011 was characterised with many storms, particularly in the second half of the year. For the September equinox and De- cember solstice of 2011 with more storm events, the diur- nal variations of the seasonal averaging of TEC for each lo- cal time hour when storm days were excluded showed lesser values (in the order of 3 TECU) during the day, compared to the diurnal variations of the seasonal averaging of TEC for each local time hour when storm days were included. Table 1 shows the peak and minimum values of the IRI-2007-derived TEC for all the seasons at the Lagos and Pucallpa stations during 2009, 2010, and 2011, while Fig. 7 shows Percent- age deviations of the IRI-2007-derived TEC from the GPS observed VTEC values for all the seasons at both stations during 2009, 2010, and 2011 respectively. 4 Discussion The observed post-midday maximum and post-sunrise min- imum in the diurnal variations of VTEC (Fig. 1) are consis- tent with previous theories, such as: (i) the onset and turn-off of solar ionization (Rishbeth et al., 1963; Anderson et al., 2002, 2004; Bilitza et al., 2004). (ii) Zonal component of wind disturbance electric fields is usually westward during the day and eastward at night, with resultant downward and upward equatorial F region plasma drifts (Woodman and La Hoz, 1976; Tsunoda, 1985, 2010). (iii) Effects of ambipolar diffusion (Rishbeth et al., 1963; Titheridge, 1995; Akala et al., 2010b). In Fig. 2a–f, data points below zero of the vertical axes imply that the hourly periods of the seasons where VTEC values were higher at the American longitude, compared to the African longitude, and data points above zero on the ver- tical axes (which are prevalent) show the opposite. VTEC values are generally higher at Lagos than Pucallpa during the June solstices, September and March equinoxes. Con- versely, VTEC values are generally higher at Pucallpa than Lagos during the December solstices. This observed longitu- dinal variations in VTEC could be attributed to many elec- trodynamic factors namely: (i) enhancements in ionospheric www.ann-geophys.net/31/2085/2013/ Ann. Geophys., 31, 2085–2096, 2013 2092 A. O. Akala et al.: Comparison of equatorial GPS-TEC observations Fig. 7. Percentage variations of the IRI-2007-derived TEC from the GPS observed VTEC values for all seasons at the Lagos and Pucallpa stations during 2009, 2010, and 2011 respectively. -200 -150 -100 -50 0 50 100 150 200 % D e v MAR EQUI, 2009 LAG PUC JUN SOLS, 2009 SEP EQUI, 2009 DEC SOLS, 2009 -200 -150 -100 -50 0 50 100 150 200 % D e v MAR EQUI, 2010 LAG PUC JUN SOLS, 2010 SEP EQUI, 2010 DEC SOLS, 2010 -200 -150 -100 -50 0 50 100 150 200 0 2 4 6 8 10 12 14 16 18 20 22 24 % D e v LT (Hrs) MAR EQUI, 2011 LAG PUC 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) JUN SOLS, 2011 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) SEP EQUI, 2011 0 2 4 6 8 10 12 14 16 18 20 22 24 LT (Hrs) DEC SOLS, 2011 Fig. 7. Percentage variations of the IRI-2007-derived TEC from the GPS observed VTEC values for all seasons at the Lagos and Pucallpa stations during 2009, 2010, and 2011 respectively. vertical plasma drifts over the African equatorial sector with respect to those over the American equatorial sector during June solstice, and equinoxes (Fejer et al., 2008; Kil et al., 2009a, b, 2012). Klobuchar et al. (1991) showed that the ef- fects of day-timeE×B drifts on TEC were more pronounced at the crests of the equatorial anomaly than at the equator. In earlier longitudinal morphology studies of global verti- cal drifts variations of ionospheric plasma using ROCSAT-1 data by Fejer et al. (2008) and Kil et al. (2009b), the au- thors reported the wave number (wave-4) structures in the daytime vertical drifts. These structures recorded longitudi- nal crests in the neighbourhood of 0◦ E, 100◦ E, 200◦ E, and 260◦ E during equinoxes, and June solstice, and the ampli- tudes of these crests were also shown to increase with so- lar activity. TEC increases with vertical drifts, significantly to the off-equatorial regions via super-fountain effect (Balan et al., 2009). The vertical drifts velocities at the crest are higher (35 m s−1) than those at the trough (25 m s−1) dur- ing the aforementioned seasons. As shown by our results (Fig. 1), Lagos (geographic long: 3.4◦ E), with more vertical drifts dynamics recorded higher VTEC values than Pucallpa (geographic long: 285.4◦ E). (ii) Modulations of the zonal electric field by the eastward propagating diurnal tide. (iii) Field aligned currents, resulting from the E region Peder- son conductivity, produced at the solar terminator (Tsunoda, 1985, 2010). (iv) Field-aligned flows due to neutral winds could also support longitudinal variations of the topside plasma densities (Balan et al., 1997, 2000). (v) Changes in thermospheric circulations (Fuller-Rowell, 1998). During the December solstices, higher VTEC values were generally recorded at the American equatorial station (South- ern Hemisphere) than the African equatorial station (North- ern Hemisphere) (Figs. 1–2). Thermospheric circulation transports neutral gases from the summer hemisphere to the winter hemisphere; thereby making the asymmetry of the en- ergy input with respect to the equator, resulting to transporta- tion of more energy to the equatorial regions from the South- ern Hemisphere during the December solstice than from the Northern Hemisphere during the June solstice (Rishbeth et al., 2000). Large-scale inter-hemispheric circulation results into seasonal changes in the O/N2 ratio. Hence the increase of ion production rate in winter hemisphere might overwhelm Ann. Geophys., 31, 2085–2096, 2013 www.ann-geophys.net/31/2085/2013/ A. O. Akala et al.: Comparison of equatorial GPS-TEC observations 2093 Table 1. Peak and minimum values of IRI-2007-derived TEC for all the seasons at Lagos and Pucallpa during 2009, 2010, and 2011. LAGOS PUCALLPA MAR EQUI JUN SOL SEP EQUI DEC SOLS MAR EQUI JUN SOL SEP EQUI DEC SOLS Max Min Max Min Max Min Max Min Max Min Max Min Max Min Max Min VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC VTEC Year (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) (TECU) 2009 25.9 1.0 22.2 1.4 23.9 1.7 25.9 1.9 26.6 0.8 20.4 1.2 25.5 1.6 31.3 1.5 2010 29.0 1.7 27.1 2.2 28.9 2.9 26.5 2.8 29.6 1.4 23.8 1.9 28.6 2.3 34.4 2.4 2011 34.5 3.2 34.4 4.3 38.4 6.2 35.4 5.9 35.3 2.6 30.3 3.7 37.2 4.8 42.4 5.1 the increase in wintertime loss rate. The longitudinal varia- tions of the December and June solstice pre-reversal velocity enhancements are generally anti-correlated, which suggests that they are being controlled by the magnetic field line inte- grated conductivities. Another explanation worthy of note was given by Torr and Torr (1973), which suggested that the Southern Hemi- sphere during the December solstice might have received more energy than the Northern Hemisphere because the off- set between the geographic and magnetic poles is larger in the Southern Hemisphere. Our results; general higher VTEC values at the American station over the African station dur- ing December solstice (Figs. 1–2) agree with those of Kil et al. (2009a, b), which reported a post-sunset crest in iono- spheric vertical drifts around the American longitude during December solstice. In addition, our results; general higher VTEC values at the African station over the American station are in agreement with those of Burke et al. (2004); Gentile et al. (2006, 2011), which concluded that ionospheric plasma bubbles are more dominant in the African longitude than the American longitude during June solstice and equinoxes, and that during the December solstice, this trend reverses. By implication pre-reversal enhancements (PREs) are compar- atively higher around the American longitude than African longitude during December solstice, while during June sol- stice and equinoxes, this trend reverses. The largest evening velocity peaks occur in the region of largest field-aligned in- tegrated conductivities and magnetic east zonal winds. Seasonally, variations of VTEC are generally higher at equinox and minimum during June solstice at both stations. These results are consistent with previous studies, and the physical processes involved could be explained by: (i) the usual enhancements in zonal plasma drifts variations in the F region during March equinox, and diminishing variations during June solstice (Fejer, 1991, 2011; Valladares et al., 1996). (ii) Alignment of the solar terminator with the geo- magnetic flux tube (Tsunoda, 1985). (iv) Changes in solar zenith angle, thermospheric composition, and global circula- tions (Rishbeth and Setty, 1961; Millward et al., 1996). The seasonal composition changes are induced by the prevailing summer-to-winter general circulations (Duncan, 1969). The driving forces of this general circulation are heating due to solar radiation and energy from the solar winds (Millward et al., 1996). The current study only suspected many electrodynamic processes that might have been responsible for the observed longitudinal differences in VTEC at both longitudes. How- ever, to put these mechanisms on a definitive footing, com- parison of electrodynamic parameters, such as the magni- tudes and directions of E×B drifts at both longitudes is required. Incoherent Scatter Radar (ISR) can measure these parameters. ISR has a long history of existence in South America (Jicamarca, Peru), but only at the verge of being in- stalled in Africa (Addis Ababa, Ethiopia). Furthermore, mag- netometers data can also be used to derive these parameters. Anderson et al. (2002, 2004) gave detailed explanations of how the strength and direction of E×B drifts could be de- rived from the data acquired from a pair of magnetometers, one within the equatorial electrojet (EEJ) strip, and the other in the off EEJ region. Intermagnet magnetometers have long existed in Africa and South America. Today, other magne- tometer arrays have been included, e.g. MAGnetic Data Ac- quisition System (MAGDAS) and the African Meridian B- Field Education and Research (AMBER) [Africa]; and the South American Meridional B-Field Array (SAMBA) [South America]. The harmonic analysis of the data set shown in Fig. 3a– f indicated that the annual component is dominant over Pu- callpa, while the semiannual component is dominant over La- gos. The average A1/A2 ratio for Pucallpa was higher than that of Lagos for the three years investigated. This further shows that A1 (annual component) dominated over Pucallpa, while A2 (semiannual) component dominated over Lagos. These results agree with those of Liu et al. (2009), which reported that the annual component of the NmF2 data is com- paratively more prominent in the Southern Hemisphere than the Northern Hemisphere. At both stations, the diurnal variations of the IRI-2007 with the NeQuick topside option derived TEC show the same trend with those derived by GPS measurements (Figs. 5–6). However, the diurnal variations of the IRI-2007 (NeQuick option) TEC show double peaks, first around 09:00 LT, and the second around 17:00 LT, while the corresponding GPS- TEC values show single peaks. Furthermore, the minimum values of IRI-2007 (NeQuick option) TEC underestimate the corresponding GPS-TEC values, and they also occurred an hour before the GPS-TEC diurnal minimum. At Lagos, dur- ing 2009, the IRI-2007-derived TEC and GPS-TEC matched reasonably well for all seasons, except for the discrepancies www.ann-geophys.net/31/2085/2013/ Ann. Geophys., 31, 2085–2096, 2013 2094 A. O. Akala et al.: Comparison of equatorial GPS-TEC observations observed during the early morning hours. As the solar activ- ity increased (2010–2011), the early morning discrepancies collapsed to form reasonable match of the IRI-2007-derived TEC and GPS-TEC, while obvious mis-matches were ob- served during the day, with the IRI-2007 predictions under- estimating TEC values, except for the December solstice of 2011, when the with IRI-2007 with the NeQuick topside op- tion predictions overestimating TEC values. At Pucallpa, during 2009, the IRI-2007-derived TEC and GPS-TEC matched reasonably well for March and Septem- ber equinoxes, and June solstice. IRI-2007 with the NeQuick topside option overestimated TEC values during the Decem- ber solstice. Discrepancies were generally observed during the early morning hours. In 2010, with the exception of March equinox where the IRI-2007 predictions underesti- mated TEC values during the early morning hours and mid- day, the matches of the IRI-2007 and GPS-derived TEC data for all other seasons were reasonable, except for the ob- served post-sunrise discrepancies. For 2011, during the day- time, IRI-2007 predictions underestimated TEC values dur- ing September equinox and December solstice. Generally, discrepancies were observed in the morning hours. The early morning variations between the IRI-2007 model values of TEC and the GPS observed values could be attributed to the fact that the shape of the electron density profile is not well predicted by the IRI model option (Ezquer et al., 1995). As shown in Fig. 7, IRI-2007 (NeQuick) model consis- tently underestimated TEC between 00:00–06:00 LT for all seasons during the solar minimum years at both stations. The percentage deviations generally showed marked variations between the hours of 01:00–09:00 LT and 21:00–23:00 LT for all the seasons during 2009, 2010 and 2011, with pos- itive deviations around 01:00–05:00 LT, and negative devia- tions around 06:00–09:00 LT. The negative deviations around 06:00–07:00 LT were most pronounced for all the seasons at the Pucallpa station (up to 200 % for some seasons). The percentage deviations never exceeded 50 % during 10:00– 19:00 LT. Overall, the NeQuick option of IRI-2007 showed better performance at the American equatorial station than the African equatorial station, especially, as solar activity in- creases. This could be attributed to long-time availability of data from the American longitude, which has in turn sup- ported update and improvement of IRI-models over the past years. 5 Conclusions We compared GPS-TEC at an African station and an Amer- ican station during the minimum and ascending phases of solar cycle 24. GPS-TEC data at the same local time at two equatorial stations on both longitudes: Lagos (6.52◦ N, 3.4◦ E, 3.04◦ S magnetic latitude), Nigeria; and Pucallpa (8.38◦ S, 74.57◦ W, 4.25◦ N magnetic latitude), Peru were used for the investigation. The main conclusions of the study are: 1. Maximum daily VTEC values were recorded during 14:00–16:00 LT and minimum during 04:00–06:00 LT at both stations. VTEC values also increase with solar activity at both stations. 2. Seasonally, during the solar minimum, maximum VTEC values were observed during the March equinox and minimum during the June solstice at both stations. During the ascending phase of the solar activity, the maximum values were recorded during December sol- stice at Pucallpa and during September equinox and December solstice at Lagos, while minimum VTEC were recorded during the June solstice at both stations. 3. The correlation between data at the two longitudes was reasonably good during the pre-sunset (00:00–06:00) hours of the day, and not too correlated during the rest of the day, significantly between 07:00–18:00 of the day (Fig. 2). – At Lagos, semiannual variations dominate over annual variations, while at Pucallpa, the annual variations dominate over semiannual variations (Fig. 3). 4. Generally, on longitude by longitude comparison, the African sector recorded higher VTEC values than the American sector, except during December solstices. 5. IRI-2007 (NeQuick) model showed better perfor- mance at the American longitude than the African lon- gitude, especially, as solar activity increases. IRI-2007 with the NeQuick topside option underestimated TEC values at both longitudes during early morning hours. The model results also showed that TEC values were higher at the American longitude than the African lon- gitude, whereas, the GPS-TEC measurements showed otherwise, although the December Solstices model re- sults showed higher values at Pucallpa than Lagos, which were reasonably consistent with observations (Figs. 5–6). Acknowledgements. The authors thank the Geophysical Insti- tute of Peru/Jicamarca Radio Observatory for providing the GPS-TEC data. The solar flux data were obtained from the NOAA website (ftp://ftp.ngdc.noaa.gov/STP/space-weather/ solar-data/solar-features/solar-radio/noontime-flux/). The authors thank the reviewers for their useful comments and suggestions. Topical Editor K. Hosokawa thanks two anonymous referees for their help in evaluating this paper. Ann. Geophys., 31, 2085–2096, 2013 www.ann-geophys.net/31/2085/2013/ A. O. Akala et al.: Comparison of equatorial GPS-TEC observations 2095 References A, E., Zhang, D., Ridley, A. 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