# Recurrent Events’ Impacts on foF2 Diurnal Variations at Dakar Station during Solar Cycles 21-22

Authors: Sibri Alphonse Sandwidi; Frédéric Ouattara
Journal: International Journal of Geophysics
 (2022)

---

## Abstract

This paper deals with recurrent events’ (REs’) impacts on foF2’s diurnal variations at Dakar station (lat: 14.8° N, long: 342.6° E, Senegal) during solar cycles 21 and 22. Data were analyzed by taking in account solar phases and seasons influence. REs generate positive storms in all seasons and on all solar phases and also weak negative storms in all seasons and at minimum and maximum solar phases. The results suggest on the one hand that vertical driftE×B due to strong electrojet currents cannot be considered an important mechanism of positive storms and on the other hand that prereversal enhancement (PRE) phenomenon (with a delay due to Dakar station position) and equatorward thermospheric neutral winds circulation (TNWC) contribute mainly to their generation. The intense positive storms, which appear mostly at night, are observed in decreasing phase and in spring which correspond, respectively, to the solar phase and the season of maximum REs occurrence. Then, positive storms’ strength presents seasonal and solar cycle dependence and it is related to REs days occurrence. REs’ negative storms strength are linked directly with REs days’ occurrence on solar phase scale, while they are not on seasonal scale.


---

## Body

## 1. Introduction

Ionospheric storms are disturbances during intense solar activities that cause abnormal variations in ionosphere’s electron density [1–5]. These storms are associated by an increase or a decrease in electron density of ionospheric layers depending on whether the storm is positive or negative [2, 6–10]. While intense negative storms can cause serious problems (e.g., block out) in HF radiocommunication, severe positive storms cause problems such as scintillations, ionospheric delays, and errors in satellite communication and navigation [8, 9, 11].At low and middle latitudes, three main mechanisms have been mentioned to explain the positive storms: (i) the equatorial electrojet (EEJ) [12–17], (ii) the prereversal enhancement (PRE) phenomenon [18, 19], and (iii) the equatorward thermospheric neutral wind circulation (TNWC) [12, 17, 20–23]. The PRE is a sharp eastward intensification of the daytime electric field near the magnetic equator shortly after sunset and before its reversal to westward [18]. The EEJ is an intense eastward current flowing near the magnetic equator. It is responsible of the equatorial ionization anomaly (EIA) region which is characterized by the diurnal formation of (i) the ionization trough near the magnetic equator and (ii) two ionization maxima located ~±15° from the magnetic equator [24–27].Concerning negative storms, Prölss [9] and Fuller-Rowell et al. [2] suggest that they arise from the thermospheric composition changes during magnetic storms which cause the augmentation in nitrogen’s (N2) and the drop in oxygen (O) one, so as to accelerate the recombination process (responsible of ionospheric electron density drop) during the storm. There are two types of recombination: (i) dissociative recombination (AB++e−⟶A+B) and (ii) radiative recombination (A++e-→A+hϑ) [28]. The charge exchange processes such as O++N2→NO++N and N++O2→NO++O are the first step of the dissociative recombination (NO++e-→N+O). Therefore, this recombination speed depends in the N2/O ratio, whose peaks can so be considered a main reason of negative storms.Statistical studies were carried out on foF2 variations by geomagnetic activity class as defined by Legrand and Simon’s [29] classification which is defined as the ancient classification (AC) in this paper. The equivalence of the recurrent activities’ (RAs) class in the AC is recurrent events’ (REs’) class in the new classification (NC) [30]. One of the novelties in this article is that this is the first time such study has been done considering the NC. Studies by Zerbo et al. [31] and Sawadogo et al. [32] have shown that RAs are predominant in decreasing solar phase and in spring. Sawadogo et al. [32] and Guibula [33], by studying RAs’ impact on foF2 variations, respectively, at Ouagadougou (lat: 12.4° N, long: 358.5° E, Burkina Faso) and Korhogo (lat. 9.3° N; long. 354.62 E, Cote d’Ivoire) stations, found that RAs cause (i) positive storms during all solar phases and over seasons with maximum intensity by night, (ii) some sporadic negative storms, and (iii) EEJ current inhibition during seasons and also over solar phases. This study is aimed at analyzing REs’ effects on foF2 variations during solar cycles 21 (SC 21) and 22 (SC 22) at Dakar station (lat: 14.8°N, long: 342.6° E, Sénégal) which is at about 8.1° N from the magnetic equator [34, 35].Section2 concerns the materials and methods. The results and discussions are presented in Section 3. Conclusion and perspectives are presented in Section 4.


## 2. Materials and Methods

This paper is aimed at comparing the foF2 diurnal variation during REs to those of very quiet activities (VQAs). Solar phases and seasons influence is taking account. Such diurnal profiles are analyzed in relation to the five standard profiles of Faynot and Vila [36].


### 2.1. Solar Phase Determination Criteria

Solar phases of SC 21 and SC 22 are determined by using the classification criteria related to the annual average of sunspot numberRz. These criteria, validated by Ouattara and Amory-Mazaudier [37], Ouattara et al. [38], Zerbo et al. [39], and Gnabahou and Ouattara [40] are defined as follows: (i) minimum phase: Rz<20; (ii) increasing phase: 20≤Rz≤100 with Rz greater than that of the previous year; (iii) maximum phase: Rz>100 noting that for weak solar cycles (with Rzmax<100) maximum phase’s years correspond to those with an index Rz>0,8.Rzmax, and (iv) decreasing phase: 100≥Rz≥20 with Rz lower than that of the previous year.


### 2.2. Season Determination Criteria

Several studies have proven the seasonal dependence of foF2 variations in relation to geomagnetic activity. Some of these studies have highlighted the existence of semiannual variation, characterized by peaks in diurnal foF2 values at equinoxes [41, 42] while others reveal the existence of winter anomaly characterized by peaks of foF2 in winter compared to summer [43–45]. The seasons are defined as follows: (1) spring (March, April, and May); (2) summer (June, July, and August); (3) autumn (September, October, and November), and (4) winter (December, January, and February).


### 2.3. Methods for Determining Geomagnetic Activity

Legrand and Simon [29] and Richardson et al. [46–48] classified geomagnetic activity into four classes based on criteria taking into account solar activity, sudden storm commencement (SSC) dates, and aa index values. An SSC corresponds to an abrupt change in the geomagnetic field followed by a geomagnetic storm that lasts less than an hour [49, 50]. The SSC index is identified by the date and time the storm occurred. The geomagnetic index aa is deduced from the K index measured at two antipodal stations in the middle latitude. The K index is an integer between 0 and 9 corresponding to a class that contains the largest range of geomagnetic disturbances in the two horizontal components [51]. The arithmetic means of the eight index values aa measured each day in accordance with the eight daily trihourly index values K is denoted Aa. Dates of SSCs and aa index values are available from 1869 to present on the ISGI website (http://isgi.unistra.fr).Recently, Zerbo et al. [30] proposed a new classification (NC) which pushes back the limits of the AC by providing clarifications on the solar origin of about 20% of geomagnetic storms in addition to the 60% explained by the AC. In the NC, quiet activity days, associated with slow solar winds, correspond to days when Aa<20nT and disturbed activity to days when Aa≥20nT. The latter include (i) fluctuating activity days (FAs) or fluctuating events (FEs) caused by fluctuations in the sun’s neutral blade, (ii) shock events (SEs) including shock activity (SA) of the AC (due to coronal mass ejections (CMEs)) and cloud shock activity (CSA) (due to magnetic clouds), and (iii) recurrent events days (REs). As in AC, the selection according to NC is done by using pixel diagram proposed by Legrand and Simon [29] and improved by Ouattara and Amory-Mazaudier [37] who organized it in columns and rows; then, they defined a color code to identify different types of geomagnetic activities.Pixel diagram (Figure1) represents the evolution of the geomagnetic index aa as a function of solar activity for each rotation of the sun or Bartels’ rotation [52]. A line in the diagram represents a rotation of the sun (27 days). The SSC dates are indicated by circles surrounding the corresponding aa index value. The dates of the beginning days of the Bartels cycle, the legend and the year are indicated, respectively, on the left, on the right, and on the top of the diagram. In a pixel diagram, the REs are represented by
(i)
classical recurrent activities of AC (RAs) due to fast solar winds which are a set of at least two successive days represented by orange, red, and/or dark red boxes on at least two days without SSC recurrence and on at least two solar rotations(ii)
corotating moderate activity days (CMAs), which are due to stable corotating solar winds and are represented by yellow and green boxes on at least two days without SSC recurrence and on at least two solar rotationsFigure 1
Pixel diagram showing different geomagnetic activities’ classes according to NC [30].To better appreciate REs’ impact, the VQAs considered correspond to the reference limits used by Zerbo et al. [39] and Gnabahou and Ouattara [40]. Note that for a given period, the VQAs’ days (Aa<10nT) [53] boxes are white colored.


### 2.4. Data Analysis Methods

The error bars placed on foF2 profiles of the VQAs, for the qualitative analysis of REs compared to VQAs, are obtained byδ=V where V is the variance given by
(1)V=∑i=1NfoF2i−foF2¯2N,wherefoF2i are the hourly foF2 values, foF2¯ is hourly average of foF2i values, and N the total number of days depending on the solar phase or season considered.Then, based on the definition of storm strength as defined by Vijaya Lekshmi et al. [54], the relative deviation of foF2 (δfoF2), allowing the type and intensity of the observed storm to be assessed, is defined by
(2)δfoF2=foF2d¯−foF2q¯foF2q¯×100,wherefoF2d¯ and foF2q¯ denote the average hourly values of foF2, respectively, in disturbed periods and in very calm periods.The storm is qualified as positive and negative, whenδfoF2>0 and δfoF2<0, respectively.For values ofδfoF2 between ∓20%, the storm is considered moderate; otherwise, we are talking about an intense storm.Likewise, based on the definition of Vijaya Lekshmi et al. [54], the storm’s strength is analyzed between seasons or solar phases by the diurnal mean deviation of the storm. foF2d,¯diurnalmean is diurnal mean of foF2 hourly values during disturbed days and foF2q,¯diurnalmean, that of calm days. Storms’ strength is estimated by class (positive and negative) to better appreciate their strength and avoid balancing effects between positive and negative storms.For positive storms, the diurnal means computed on hourly values are such thatfoF2d¯>foF2q¯. Thus, positive storm’s strenght (ΔfoF2stormp) is defined by
(3)ΔfoF2stormp=foF2d,¯diurnalmean−foF2q,¯diurnalmean.For negative storms, the diurnal means computed on hourly values are such thatfoF2d¯<foF2q¯. Thus, negative storm’s strenght (ΔfoF2stormn) is defined by
(4)ΔfoF2stormn=foF2q,¯diurnalmean−foF2d,¯diurnalmean.To analyze the occurrences of REs and VQAs days, recurrent and very quiet days during SC 21 and SC 22 (from 1 January 1976 to 31 December 1995) were counted. The study covered 1118 very quiet days and 648 recurrent days. Rates of occurrence are obtained using(5)%Occ=NANT×100,whereNA is the number of VQAs days or REs days over solar phase or the considered season and NT the total number of days per solar phase or by the considered season.


## 2.1. Solar Phase Determination Criteria

Solar phases of SC 21 and SC 22 are determined by using the classification criteria related to the annual average of sunspot numberRz. These criteria, validated by Ouattara and Amory-Mazaudier [37], Ouattara et al. [38], Zerbo et al. [39], and Gnabahou and Ouattara [40] are defined as follows: (i) minimum phase: Rz<20; (ii) increasing phase: 20≤Rz≤100 with Rz greater than that of the previous year; (iii) maximum phase: Rz>100 noting that for weak solar cycles (with Rzmax<100) maximum phase’s years correspond to those with an index Rz>0,8.Rzmax, and (iv) decreasing phase: 100≥Rz≥20 with Rz lower than that of the previous year.


## 2.2. Season Determination Criteria

Several studies have proven the seasonal dependence of foF2 variations in relation to geomagnetic activity. Some of these studies have highlighted the existence of semiannual variation, characterized by peaks in diurnal foF2 values at equinoxes [41, 42] while others reveal the existence of winter anomaly characterized by peaks of foF2 in winter compared to summer [43–45]. The seasons are defined as follows: (1) spring (March, April, and May); (2) summer (June, July, and August); (3) autumn (September, October, and November), and (4) winter (December, January, and February).


## 2.3. Methods for Determining Geomagnetic Activity

Legrand and Simon [29] and Richardson et al. [46–48] classified geomagnetic activity into four classes based on criteria taking into account solar activity, sudden storm commencement (SSC) dates, and aa index values. An SSC corresponds to an abrupt change in the geomagnetic field followed by a geomagnetic storm that lasts less than an hour [49, 50]. The SSC index is identified by the date and time the storm occurred. The geomagnetic index aa is deduced from the K index measured at two antipodal stations in the middle latitude. The K index is an integer between 0 and 9 corresponding to a class that contains the largest range of geomagnetic disturbances in the two horizontal components [51]. The arithmetic means of the eight index values aa measured each day in accordance with the eight daily trihourly index values K is denoted Aa. Dates of SSCs and aa index values are available from 1869 to present on the ISGI website (http://isgi.unistra.fr).Recently, Zerbo et al. [30] proposed a new classification (NC) which pushes back the limits of the AC by providing clarifications on the solar origin of about 20% of geomagnetic storms in addition to the 60% explained by the AC. In the NC, quiet activity days, associated with slow solar winds, correspond to days when Aa<20nT and disturbed activity to days when Aa≥20nT. The latter include (i) fluctuating activity days (FAs) or fluctuating events (FEs) caused by fluctuations in the sun’s neutral blade, (ii) shock events (SEs) including shock activity (SA) of the AC (due to coronal mass ejections (CMEs)) and cloud shock activity (CSA) (due to magnetic clouds), and (iii) recurrent events days (REs). As in AC, the selection according to NC is done by using pixel diagram proposed by Legrand and Simon [29] and improved by Ouattara and Amory-Mazaudier [37] who organized it in columns and rows; then, they defined a color code to identify different types of geomagnetic activities.Pixel diagram (Figure1) represents the evolution of the geomagnetic index aa as a function of solar activity for each rotation of the sun or Bartels’ rotation [52]. A line in the diagram represents a rotation of the sun (27 days). The SSC dates are indicated by circles surrounding the corresponding aa index value. The dates of the beginning days of the Bartels cycle, the legend and the year are indicated, respectively, on the left, on the right, and on the top of the diagram. In a pixel diagram, the REs are represented by
(i)
classical recurrent activities of AC (RAs) due to fast solar winds which are a set of at least two successive days represented by orange, red, and/or dark red boxes on at least two days without SSC recurrence and on at least two solar rotations(ii)
corotating moderate activity days (CMAs), which are due to stable corotating solar winds and are represented by yellow and green boxes on at least two days without SSC recurrence and on at least two solar rotationsFigure 1
Pixel diagram showing different geomagnetic activities’ classes according to NC [30].To better appreciate REs’ impact, the VQAs considered correspond to the reference limits used by Zerbo et al. [39] and Gnabahou and Ouattara [40]. Note that for a given period, the VQAs’ days (Aa<10nT) [53] boxes are white colored.


## 2.4. Data Analysis Methods

The error bars placed on foF2 profiles of the VQAs, for the qualitative analysis of REs compared to VQAs, are obtained byδ=V where V is the variance given by
(1)V=∑i=1NfoF2i−foF2¯2N,wherefoF2i are the hourly foF2 values, foF2¯ is hourly average of foF2i values, and N the total number of days depending on the solar phase or season considered.Then, based on the definition of storm strength as defined by Vijaya Lekshmi et al. [54], the relative deviation of foF2 (δfoF2), allowing the type and intensity of the observed storm to be assessed, is defined by
(2)δfoF2=foF2d¯−foF2q¯foF2q¯×100,wherefoF2d¯ and foF2q¯ denote the average hourly values of foF2, respectively, in disturbed periods and in very calm periods.The storm is qualified as positive and negative, whenδfoF2>0 and δfoF2<0, respectively.For values ofδfoF2 between ∓20%, the storm is considered moderate; otherwise, we are talking about an intense storm.Likewise, based on the definition of Vijaya Lekshmi et al. [54], the storm’s strength is analyzed between seasons or solar phases by the diurnal mean deviation of the storm. foF2d,¯diurnalmean is diurnal mean of foF2 hourly values during disturbed days and foF2q,¯diurnalmean, that of calm days. Storms’ strength is estimated by class (positive and negative) to better appreciate their strength and avoid balancing effects between positive and negative storms.For positive storms, the diurnal means computed on hourly values are such thatfoF2d¯>foF2q¯. Thus, positive storm’s strenght (ΔfoF2stormp) is defined by
(3)ΔfoF2stormp=foF2d,¯diurnalmean−foF2q,¯diurnalmean.For negative storms, the diurnal means computed on hourly values are such thatfoF2d¯<foF2q¯. Thus, negative storm’s strenght (ΔfoF2stormn) is defined by
(4)ΔfoF2stormn=foF2q,¯diurnalmean−foF2d,¯diurnalmean.To analyze the occurrences of REs and VQAs days, recurrent and very quiet days during SC 21 and SC 22 (from 1 January 1976 to 31 December 1995) were counted. The study covered 1118 very quiet days and 648 recurrent days. Rates of occurrence are obtained using(5)%Occ=NANT×100,whereNA is the number of VQAs days or REs days over solar phase or the considered season and NT the total number of days per solar phase or by the considered season.


## 3. Results and Discussion

### 3.1. Recurrent Activities’ Occurrence per Season and per Solar Phase

Figure2 gives the occurrence of REs and VQAs by solar phase (“a”) and by season (“b”). VQAs are predominant than REs during all solar phases except at decreasing phase. Occurrence rates increase with solar cycle progression. Thus, both VQAs and REs appear less at solar minimum while they are predominant in the decreasing phase when a REs rate of 53.55% and a VQAs rate of 32.74% are obtained. VQAs predominate over REs during solstice months while REs preponderate during equinox months with rates of 32.7% in spring and 28.7% in autumn. This highlights the presence of equinoctial and semiannual asymmetries in the seasonal occurrence of REs as shown by Sawadogo et al. [32] at Ouagadougou station.Figure 2
Recurrent events occurrence variability per solar phase (a) and per season (b).
(a)(b)


### 3.2. Recurrent Events’ (REs) Storm Effects per Solar Phase

Figure3 shows foF2 diurnal variations profiles and the relative deviation δfoF2 between REs and VQAs. Solid curves and dashed curves relate, respectively, to VQAs and REs. These graphs are used to study REs’ impact on foF2 variations by solar phase at Dakar station. Panels (a)–(d) are assigned, respectively, to minimum, increasing, maximum, and decreasing phases.Figure 3
Solar phases’ influence on foF2 diurnal variations during recurrent events (REs).
(a)(b)(c)(d)In panel (a), foF2’s profiles show that REs do not disturb the “B”-shaped profile observed during VQAs. The evening peak of VQAs’ curve is also observed during REs. VQAs’ graph shows an increasing trend after midnight followed by a peak around 0100 LT. The one of REs shows an increasing trend from 2300 LT to midnight, followed by a decreasing trend from midnight to 0100 LT, when it started raising again up to a peak around 0200 LT. Thus, REs split the abnormality observed in recombination mechanism during VQAs from midnight to a double abnormality between 2300 LT and midnight, and from 0100 LT to 0200 LT, with an expected behavior of the recombination in between.δfoF2’s graph indicates that at solar minimum REs cause positive storms during day time, except around 0600 LT where they produce a low negative storm because δfoF2<0. The strongest (intense) storms, characterized by δfoF2>20%, occur at night with a peak observed at 0000 LT (δfoF2~40%) and they are moderate during day time (δfoF2<20%).At panel (b), REs reproduce the ionization dip of 1200 LT. The evening peak observed on VQAs’ curve is not modified by REs.foF2’s graph indicates that REs cause positive storms during both daytime and nighttime. These storms are intense throughout the night (2100 to 0000 LT, around 0300 LT and 0500 LT) with a peak observed around 0000 LT (δfoF2~34.3%). Storms are moderate the remaining time of the day.At panel (c), REs’ and VQAs’ curves show a “P” profile. But the one of VQAs is associated with a slight morning peak and a barely noticeable ionization dip around local noon. An abnormal night peak is observed around 0100 LT during VQAs while it is observed one hour before (0000 LT) during REs, with a minor peak at 2200 LT. Although the minor peak at 2200 TL does not coincide with the PRE phenomenon (expected shortly after sunset (1700-1900 TL)), this observation can be linked to an expansion of the PRE with a delay due to Dakar station position.δfoF2’s graph indicates that REs cause moderate storms during all daily time. Storms are usually positive with some low negative storms observed in morning (0700-0800 LT), around 2300 LT and 0100 LT.In panel (d), the curves present a profile “B” with predominance of evening peak during VQAs and an “R” profile during REs. The local ionization dip around noon is typical on the equatorial zones and is related to EEJ current presence. Thus, its absence during the REs suggests that REs are favorable to EEJ current inhibition at decreasing phase.δfoF2’s values indicate that observed storms are positive at all times, being intense by night (δfoF2>20% from 2200 to 0800 LT) and moderate during day.


### 3.3. Recurrent Events’ (REs) Storm Effects per Season

Figure4 shows foF2 diurnal variations profiles and relative deviation δfoF2 between REs and VQAs. Solid and dashed curves relate, respectively, to VQAs and REs. These graphs are used to study REs’ impact on foF2 seasonal variations. Panels (a)–(d) are assigned, respectively, to spring, summer, autumn, and winter seasons.Figure 4
Seasons’ influence on foF2 diurnal variations during recurrent events (REs).
(a)(b)(c)(d)At panels (a) and (b), curves show “R” profiles, showing therefore that REs do not modify the evening ionization peak observed during VQAs in spring and summer. Error bars show that, in spring, ionization during REs is greater during nighttime (2000-0500 LT). But in summer, REs’ curve superimposes that of VQAs almost all the time.δfoF2’s graph indicates that in spring REs cause moderate positive storms at daytime with a weak negative storm around 0800 LT and intense positive storms at night (δfoF2>20% from 2000 to 0500 LT, with a maximum δfoF2 greater than 80% around 0000 LT). On the other hand, in summer, we observe a moderate storm almost all the time with an oscillation of δfoF2 value sign, translating a fluctuation between negative storms (~0600 LT, 0800-1000 LT, and 1900-2300 LT) and positive storms during the remaining day time, with a maximum δfoF2 of 16.28% at ~0100 LT.Panel (c) shows an ionization trough around local noon in autumn.δfoF2’s graph indicates that in the autumn REs cause positive storms during daytime, except around 0100 LT and 0300 LT where negative storms appear. Storms are moderate at all times except around 0600 LT (δfoF2~22.22%). The REs’ abnormal nocturnal peak is observed at 0000 LT though the one of VQAs is observed at 0100 LT.At panel (d), curves show an “M” type profile, with a weak morning peak ionization and a little dip ionization around noon on VQAs’ curve. Error bars show that in winter, ionization is greater at all times during REs compared to VQAs, except in morning (0700-1000 LT). The minor peak at 2200 LT on REs’ curve can be linked to an expansion of the PRE with a delay due to Dakar station position.δfoF2’s curve indicates that in winter REs cause negative storms in the morning (0700-0800 LT) and positive storms all the remaining time. Storms are moderate most of the time except around 0600 LT and from 2200 to 0000 LT.


### 3.4. Recurrent Events’ Storm Strength on foF2 Variation by Solar Phase and by Season

Table1 shows recurrent events positive storms’ strength on foF2 variations over solar cycle and seasons. It is observed that the strongest storms appear during decreasing phase and spring months while the weakest are observed at solar maximum and in summer months.Table 1
Recurrent events’ positive storms strength on foF2 variation by solar phase and by season.
Storm strength over solar phasesMinimumIncreasingMaximumDecreasingΔfoF2stormp (MHz)0.640.880.611.38Storm strength over seasonsSpringSummerAutumnWinterΔfoF2stormp (MHz)1.180.330.760.93Table2 shows recurrent events’ negative storms’ strength on foF2 variations over solar cycle and seasons. Negative storms are not observed during increasing and decreasing solar phases. The strongest storms appear during maximum phase and autumn months while the weakest are observed at solar minimum and in spring months.Table 2
Recurrent events’ negative storms strength on foF2 variation by solar phase and by season.
Storm strength over solar phasesMinimumIncreasingMaximumDecreasingΔfoF2stormn (MHz)0.12—0.30—Storm strength over seasonsSpringSummerAutumnWinterΔfoF2stormn (MHz)0.130.140.360.17


### 3.5. Discussions

From the analysis of REs impact on foF2 diurnal variations, it emerges that(1)
REs generate positive storms during all the daytime. Sawadogo et al. [32] found the same result by analyzing RAs’ impact on foF2 diurnal variations at Ouagadougou station. Weak negative storms are observed at solar minimum (~0600 LT) and solar maximum (from 0700 to 0800 LT, ~2300 LT, and~0100 LT), in summer (~0500 LT, ~0900 LT and from 1900 to 2300 LT), in autumn (~ 0100 and~ 0300 LT), in winter (0700-0800 LT), and in spring (~ 0800 LT).(2)
Troughs are observed at noon local time in minimum, increasing and decreasing solar phases and autumn months. It is well known that with plasma fountain effects the tendency should be an increase in electron density at the tropics (~∓15° on either side of the magnetic equator) and an ionization dip at the magnetic equator around local noon [55]. Since Dakar station (lat: 14.8° N; long: 342.6° E) is at about 8.1° N from the magnetic equator which is at about 6.5° N at African sector [34, 35], it lies in the transition zone between EIA region trough and its crest. This explains the observation of the local noon trough under some solar activity and seasonal conditions, which favor an equatorial behavior rather than the one expected at the crests of the EIA region(3)
Storms’ effect on vertical driftE×B disturbs foF2’s diurnal profiles morphologies during disturbed activities [56]. This phenomenon is due to the midday EEJ current inhibition. It is observed during REs, especially over decreasing solar phase and in autumn months. Guibula’s [33] works show that at Korhogo station (located in the hollow of the EIA region), this EEJ current inhibition at noon is observed in winter while those of Sawadogo et al.’s [32] which showed that at Ouagadougou station it is observed on all solar phases and only in summer at seasons scale. These differences could be explained by phenomena that are still poorly understood. Gnabahou et al. [34] suggested the position of those African EIA region stations as an explanation(4)
Minor peaks are observed at 2200 LT during maximum phase and winter season. It is also noted that REs are more favorable to 2200 LT minor peak appearance. Indeed, VQAs’ curve during winter season present a little inflection around 2200 LT without however marking a real peak while at the same period of the day that of REs present a minor peak. It could be inferred that Dakar station behaves like a crest station during winter months and also during maximum phase for the same reason(5)
The strongest positive storms appear during decreasing phase and spring months while the weakest ones are observed at solar maximum and in summer months. REs are predominant in decreasing phase and in spring as observed, respectively, by Zerbo et al. [31] and Sawadogo et al. [32]. This suggests that positive storms’ strength due to REs is related to REs’ days occurrence(6)
As concern negative storms, the more intense are observed during maximum solar phase and autumn season and the weakest during minimum solar phase and spring season. At solar phase scale, REs are predominant at maximum than during minimum; and over seasons scale, they are predominant during spring than during autumn. This suggests that at solar phases scale negative storms’ strength due to REs are related to REs’ days occurrence while they are not on seasons scaleIt is well known according to Prölss [9, 10] and Fuller-Rowell et al. [2] that negative storms result from variations in thermosphere composition during magnetic storms. We can therefore observe a moderate acceleration of the recombination process (with an increasing of N2/O ratio) at solar minimum (~0600 LT), at maximum phase (~0100 LT, ~0700 LT, and ~2300 LT), in summer (~0500 LT, ~0900 LT, and 1900-2300 LT), in autumn (~0100 and ~0300 LT), and in winter (0700-0800 LT) during REs. One would therefore expect to observe the peak of recombination mechanism around 0100 LT in autumn of solar maximum during REs.It was observed that electrojet intensity increases with solar activity [57–59]. However, the greater positive storms and most of negative storms are observed by night or at morning (not at noon), and positive storms of solar minimum are more powerful than those of solar maximum. Therefore, we could deduce that E×B drift due to strong diurnal EEJ cannot be considered a prevailing mechanism for storms’ generation.The observed positive storms around 2200 TL do not coincide with the PRE phenomena in winter and during maximum phase. The PRE is a sharp eastward intensification of the daytime electric field near the magnetic equator shortly after sunset and before its reversal to westward [18]. According to Farley et al. [18] and Kelley [19], this inversion is due to the effect of the zonal wind which induces an accumulation of electric charges at day-night (1700-1900 LT) boundary. There is thus strong reason to consider, in agreement with Dakar station position, that the minor peak around 2200 LT can be link to the PRE (with a delay) as a major mechanism of the positive storms observed after dusk.Most positive storms are observed at night (when chemical recombination is predominant), especially in decreasing solar phase and in spring, when REs are predominant. According to Balan et al. [20], positive ionospheric storms are more likely to occur when the plasma accumulation due to the mechanical effects of TNWC exceeds the losses due to chemical recombination. This suggests that the TNWC from high to low latitudes [60] can be considered a major source of positive storms.


## 3.1. Recurrent Activities’ Occurrence per Season and per Solar Phase

Figure2 gives the occurrence of REs and VQAs by solar phase (“a”) and by season (“b”). VQAs are predominant than REs during all solar phases except at decreasing phase. Occurrence rates increase with solar cycle progression. Thus, both VQAs and REs appear less at solar minimum while they are predominant in the decreasing phase when a REs rate of 53.55% and a VQAs rate of 32.74% are obtained. VQAs predominate over REs during solstice months while REs preponderate during equinox months with rates of 32.7% in spring and 28.7% in autumn. This highlights the presence of equinoctial and semiannual asymmetries in the seasonal occurrence of REs as shown by Sawadogo et al. [32] at Ouagadougou station.Figure 2
Recurrent events occurrence variability per solar phase (a) and per season (b).
(a)(b)


## 3.2. Recurrent Events’ (REs) Storm Effects per Solar Phase

Figure3 shows foF2 diurnal variations profiles and the relative deviation δfoF2 between REs and VQAs. Solid curves and dashed curves relate, respectively, to VQAs and REs. These graphs are used to study REs’ impact on foF2 variations by solar phase at Dakar station. Panels (a)–(d) are assigned, respectively, to minimum, increasing, maximum, and decreasing phases.Figure 3
Solar phases’ influence on foF2 diurnal variations during recurrent events (REs).
(a)(b)(c)(d)In panel (a), foF2’s profiles show that REs do not disturb the “B”-shaped profile observed during VQAs. The evening peak of VQAs’ curve is also observed during REs. VQAs’ graph shows an increasing trend after midnight followed by a peak around 0100 LT. The one of REs shows an increasing trend from 2300 LT to midnight, followed by a decreasing trend from midnight to 0100 LT, when it started raising again up to a peak around 0200 LT. Thus, REs split the abnormality observed in recombination mechanism during VQAs from midnight to a double abnormality between 2300 LT and midnight, and from 0100 LT to 0200 LT, with an expected behavior of the recombination in between.δfoF2’s graph indicates that at solar minimum REs cause positive storms during day time, except around 0600 LT where they produce a low negative storm because δfoF2<0. The strongest (intense) storms, characterized by δfoF2>20%, occur at night with a peak observed at 0000 LT (δfoF2~40%) and they are moderate during day time (δfoF2<20%).At panel (b), REs reproduce the ionization dip of 1200 LT. The evening peak observed on VQAs’ curve is not modified by REs.foF2’s graph indicates that REs cause positive storms during both daytime and nighttime. These storms are intense throughout the night (2100 to 0000 LT, around 0300 LT and 0500 LT) with a peak observed around 0000 LT (δfoF2~34.3%). Storms are moderate the remaining time of the day.At panel (c), REs’ and VQAs’ curves show a “P” profile. But the one of VQAs is associated with a slight morning peak and a barely noticeable ionization dip around local noon. An abnormal night peak is observed around 0100 LT during VQAs while it is observed one hour before (0000 LT) during REs, with a minor peak at 2200 LT. Although the minor peak at 2200 TL does not coincide with the PRE phenomenon (expected shortly after sunset (1700-1900 TL)), this observation can be linked to an expansion of the PRE with a delay due to Dakar station position.δfoF2’s graph indicates that REs cause moderate storms during all daily time. Storms are usually positive with some low negative storms observed in morning (0700-0800 LT), around 2300 LT and 0100 LT.In panel (d), the curves present a profile “B” with predominance of evening peak during VQAs and an “R” profile during REs. The local ionization dip around noon is typical on the equatorial zones and is related to EEJ current presence. Thus, its absence during the REs suggests that REs are favorable to EEJ current inhibition at decreasing phase.δfoF2’s values indicate that observed storms are positive at all times, being intense by night (δfoF2>20% from 2200 to 0800 LT) and moderate during day.


## 3.3. Recurrent Events’ (REs) Storm Effects per Season

Figure4 shows foF2 diurnal variations profiles and relative deviation δfoF2 between REs and VQAs. Solid and dashed curves relate, respectively, to VQAs and REs. These graphs are used to study REs’ impact on foF2 seasonal variations. Panels (a)–(d) are assigned, respectively, to spring, summer, autumn, and winter seasons.Figure 4
Seasons’ influence on foF2 diurnal variations during recurrent events (REs).
(a)(b)(c)(d)At panels (a) and (b), curves show “R” profiles, showing therefore that REs do not modify the evening ionization peak observed during VQAs in spring and summer. Error bars show that, in spring, ionization during REs is greater during nighttime (2000-0500 LT). But in summer, REs’ curve superimposes that of VQAs almost all the time.δfoF2’s graph indicates that in spring REs cause moderate positive storms at daytime with a weak negative storm around 0800 LT and intense positive storms at night (δfoF2>20% from 2000 to 0500 LT, with a maximum δfoF2 greater than 80% around 0000 LT). On the other hand, in summer, we observe a moderate storm almost all the time with an oscillation of δfoF2 value sign, translating a fluctuation between negative storms (~0600 LT, 0800-1000 LT, and 1900-2300 LT) and positive storms during the remaining day time, with a maximum δfoF2 of 16.28% at ~0100 LT.Panel (c) shows an ionization trough around local noon in autumn.δfoF2’s graph indicates that in the autumn REs cause positive storms during daytime, except around 0100 LT and 0300 LT where negative storms appear. Storms are moderate at all times except around 0600 LT (δfoF2~22.22%). The REs’ abnormal nocturnal peak is observed at 0000 LT though the one of VQAs is observed at 0100 LT.At panel (d), curves show an “M” type profile, with a weak morning peak ionization and a little dip ionization around noon on VQAs’ curve. Error bars show that in winter, ionization is greater at all times during REs compared to VQAs, except in morning (0700-1000 LT). The minor peak at 2200 LT on REs’ curve can be linked to an expansion of the PRE with a delay due to Dakar station position.δfoF2’s curve indicates that in winter REs cause negative storms in the morning (0700-0800 LT) and positive storms all the remaining time. Storms are moderate most of the time except around 0600 LT and from 2200 to 0000 LT.


## 3.4. Recurrent Events’ Storm Strength on foF2 Variation by Solar Phase and by Season

Table1 shows recurrent events positive storms’ strength on foF2 variations over solar cycle and seasons. It is observed that the strongest storms appear during decreasing phase and spring months while the weakest are observed at solar maximum and in summer months.Table 1
Recurrent events’ positive storms strength on foF2 variation by solar phase and by season.
Storm strength over solar phasesMinimumIncreasingMaximumDecreasingΔfoF2stormp (MHz)0.640.880.611.38Storm strength over seasonsSpringSummerAutumnWinterΔfoF2stormp (MHz)1.180.330.760.93Table2 shows recurrent events’ negative storms’ strength on foF2 variations over solar cycle and seasons. Negative storms are not observed during increasing and decreasing solar phases. The strongest storms appear during maximum phase and autumn months while the weakest are observed at solar minimum and in spring months.Table 2
Recurrent events’ negative storms strength on foF2 variation by solar phase and by season.
Storm strength over solar phasesMinimumIncreasingMaximumDecreasingΔfoF2stormn (MHz)0.12—0.30—Storm strength over seasonsSpringSummerAutumnWinterΔfoF2stormn (MHz)0.130.140.360.17


## 3.5. Discussions

From the analysis of REs impact on foF2 diurnal variations, it emerges that(1)
REs generate positive storms during all the daytime. Sawadogo et al. [32] found the same result by analyzing RAs’ impact on foF2 diurnal variations at Ouagadougou station. Weak negative storms are observed at solar minimum (~0600 LT) and solar maximum (from 0700 to 0800 LT, ~2300 LT, and~0100 LT), in summer (~0500 LT, ~0900 LT and from 1900 to 2300 LT), in autumn (~ 0100 and~ 0300 LT), in winter (0700-0800 LT), and in spring (~ 0800 LT).(2)
Troughs are observed at noon local time in minimum, increasing and decreasing solar phases and autumn months. It is well known that with plasma fountain effects the tendency should be an increase in electron density at the tropics (~∓15° on either side of the magnetic equator) and an ionization dip at the magnetic equator around local noon [55]. Since Dakar station (lat: 14.8° N; long: 342.6° E) is at about 8.1° N from the magnetic equator which is at about 6.5° N at African sector [34, 35], it lies in the transition zone between EIA region trough and its crest. This explains the observation of the local noon trough under some solar activity and seasonal conditions, which favor an equatorial behavior rather than the one expected at the crests of the EIA region(3)
Storms’ effect on vertical driftE×B disturbs foF2’s diurnal profiles morphologies during disturbed activities [56]. This phenomenon is due to the midday EEJ current inhibition. It is observed during REs, especially over decreasing solar phase and in autumn months. Guibula’s [33] works show that at Korhogo station (located in the hollow of the EIA region), this EEJ current inhibition at noon is observed in winter while those of Sawadogo et al.’s [32] which showed that at Ouagadougou station it is observed on all solar phases and only in summer at seasons scale. These differences could be explained by phenomena that are still poorly understood. Gnabahou et al. [34] suggested the position of those African EIA region stations as an explanation(4)
Minor peaks are observed at 2200 LT during maximum phase and winter season. It is also noted that REs are more favorable to 2200 LT minor peak appearance. Indeed, VQAs’ curve during winter season present a little inflection around 2200 LT without however marking a real peak while at the same period of the day that of REs present a minor peak. It could be inferred that Dakar station behaves like a crest station during winter months and also during maximum phase for the same reason(5)
The strongest positive storms appear during decreasing phase and spring months while the weakest ones are observed at solar maximum and in summer months. REs are predominant in decreasing phase and in spring as observed, respectively, by Zerbo et al. [31] and Sawadogo et al. [32]. This suggests that positive storms’ strength due to REs is related to REs’ days occurrence(6)
As concern negative storms, the more intense are observed during maximum solar phase and autumn season and the weakest during minimum solar phase and spring season. At solar phase scale, REs are predominant at maximum than during minimum; and over seasons scale, they are predominant during spring than during autumn. This suggests that at solar phases scale negative storms’ strength due to REs are related to REs’ days occurrence while they are not on seasons scaleIt is well known according to Prölss [9, 10] and Fuller-Rowell et al. [2] that negative storms result from variations in thermosphere composition during magnetic storms. We can therefore observe a moderate acceleration of the recombination process (with an increasing of N2/O ratio) at solar minimum (~0600 LT), at maximum phase (~0100 LT, ~0700 LT, and ~2300 LT), in summer (~0500 LT, ~0900 LT, and 1900-2300 LT), in autumn (~0100 and ~0300 LT), and in winter (0700-0800 LT) during REs. One would therefore expect to observe the peak of recombination mechanism around 0100 LT in autumn of solar maximum during REs.It was observed that electrojet intensity increases with solar activity [57–59]. However, the greater positive storms and most of negative storms are observed by night or at morning (not at noon), and positive storms of solar minimum are more powerful than those of solar maximum. Therefore, we could deduce that E×B drift due to strong diurnal EEJ cannot be considered a prevailing mechanism for storms’ generation.The observed positive storms around 2200 TL do not coincide with the PRE phenomena in winter and during maximum phase. The PRE is a sharp eastward intensification of the daytime electric field near the magnetic equator shortly after sunset and before its reversal to westward [18]. According to Farley et al. [18] and Kelley [19], this inversion is due to the effect of the zonal wind which induces an accumulation of electric charges at day-night (1700-1900 LT) boundary. There is thus strong reason to consider, in agreement with Dakar station position, that the minor peak around 2200 LT can be link to the PRE (with a delay) as a major mechanism of the positive storms observed after dusk.Most positive storms are observed at night (when chemical recombination is predominant), especially in decreasing solar phase and in spring, when REs are predominant. According to Balan et al. [20], positive ionospheric storms are more likely to occur when the plasma accumulation due to the mechanical effects of TNWC exceeds the losses due to chemical recombination. This suggests that the TNWC from high to low latitudes [60] can be considered a major source of positive storms.


## 4. Conclusions

REs are predominant in equinox months (particularly in spring) and during solar decreasing phase and appear less in solstice months (particularly in winter) and in solar minimum. Morphological analysis offoF2 profiles during REs and VQAs at Dakar station shows that REs disrupt F2 layer electrodynamics during maximum and decreasing solar phases and in autumn and winter on seasons’ scale. Equatorward TNWC and the PRE phenomenon (caused by the disturbance of zonal winds by REs) contribute mainly to positive storms. The strongest positive storms are observed in the decreasing phase and in spring months. This suggests that positive storms’ strength due to REs is related to REs’ day occurrence. The more intense negative storms are observed at maximum and autumn season and the weakest during minimum solar phase and spring season. This suggests that at solar phases scale negative storms’ strength due to REs are related to REs’ days occurrence while they are not on seasons’ scale. The local noon trough and the abnormal night time peak observation under some solar activity and seasonal conditions suggested that Dakar station behaves like an equatorial station during all solar phases and seasons, except during maximum solar phase and winter months.



---

*Source: 4883155-2022-06-07.xml*