Estimating the daytime vertical E × B drift velocities in the F-region of the equatorial ionosphere using the IEEY and AMBER magnetic data in West Africa

Kassamba, Abdel Aziz; Doumbia, V.; Obrou, O. K.; Grodji, F.O.; Tuo, Z; Kouassi, Nguessan; Yizengaw, E.

doi:10.1016/j.asr.2020.03.008

Cited by 4 publications

(5 citation statements)

References 25 publications

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“…The EEJ current is given by the following expression: where H HUA is the solar quiet (Sq) current computed for Huancayo and H PLU is the Sq current computed for the Piura magnetometer stations, respectively, while the estimated inferred vertical drift of the ΔH horizontal current was obtained from a mathematical relationship using the vertical drift model ). Anderson's quantitative mathematical formulation obtained from the neural regression technique is given by the following expression (Anderson et al, 2002;Yizengaw et al, 2014;Kassamba et al, 2020;Idolor et al, 2021;Idolor et al, 2022).…”

Section: Data and Methods Of Analysismentioning

confidence: 99%

Response of the American equatorial ionization anomaly to 2016 Arctic sudden stratospheric warming events

Idolor

Akala²,

Bolaji³

et al. 2022

Front. Astron. Space Sci.

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Apart from the rapid ionospheric response to geomagnetic forcing originating from the Sun during extreme space weather events, forcing from the lower atmosphere below still exerts a significant influence on the ionosphere during quiet-time conditions. This study examines the ionospheric response of the equatorial ionization anomaly (EIA) in the American sector to the combined influence of the cascades of sudden stratospheric warming (SSW) events and the geomagnetic storms that coexisted with them during the period of January–March 2016. We adopted a multi-instrument and multi-modeling approach with the study locations spanning ±40° geomagnetic latitudes. Our results showed a hemispheric asymmetry in the total electron content and change in total electron content (ΔTEC) distribution with higher enhancement clearly visible in the Northern Hemisphere in comparison to the Southern Hemisphere (NH). Semidiurnal signatures were observed in both ΔTEC and equatorial electrojet parameters for some days. The double-peak zonal mean zonal wind amplitude days supported the formation of the reverse fountain effects. The different SSW peak temperature days also showed either positive or negative ionospheric response. Generally, orientation of the prompt penetration electric field (PPEF) and their strengths at either daytime or nighttime played a weak role in the ionosphere response during some of the geomagnetic storms. The negative and positive ionospheric responses under geomagnetic storm conditions were ascribed to changes in the composition of the thermosphere, prompt penetration electric field (PPEF), and traveling atmospheric disturbances (TADs).

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Section: Data and Methods Of Analysismentioning

confidence: 99%

Response of the American equatorial ionization anomaly to 2016 Arctic sudden stratospheric warming events

Idolor

Akala²,

Bolaji³

et al. 2022

Front. Astron. Space Sci.

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“…(2004) was adopted to estimate the vertical drift. This relationship is given by the expression below (Anderson et al., 2002, 2004; Kassamba et al., 2020; Yizengaw et al., 2011, 2014):

\begin{matrix} left \\ VD = - 1989.51 + 1.002 Yr - 0.00022 DOY - 0.0222 F_{normald} - 0.0282 F_{normala} - 0.0229 Ap \\ + 0.0589 Kp - 0.3661 L T + 0.1865 Δ H + 0.00028 Δ H^{2} - 0.0000023 Δ H^{3} \end{matrix}

where VD is the estimated vertical drift, Yr is the year, DOY is the day of the year, F d is the daily F 10.7 cm solar flux, F a is the 81‐day average value of the adjusted F 10.7 cm solar flux, Ap and Kp are the daily and 3 hourly geomagnetic indices, LT is the local time in hours at the magnetometer stations, and Δ H is the difference in the horizontal magnetic field intensity for each pair of magnetometer stations. It should be noted that the EEJ current obtained from equation () is identical to the ΔH used for computing the vertical drift in Anderson's model.…”

Section: Data and Methods Of Analysismentioning

confidence: 99%

“…Also, the empirical relationship established by was adopted to estimate the vertical drift. This relationship is given by the expression below (Anderson et al, 2002Kassamba et al, 2020;Yizengaw et al, 2011Yizengaw et al, , 2014:…”

Section: Data and Methods Of Analysismentioning

confidence: 99%

Responses of the African and American Equatorial Ionization Anomaly (EIA) to 2014 Arctic SSW Events

2021

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“…The technique based on Equation ( 8) has already been used mostly over the Eastern African longitude [11] [14] [23] [24]. We extend the study to the three longitudinal sectors in Africa and further examine the differences in E × B between these sectors in line with variations of modelled EEF values.…”

Section: Estimation Of Vertical E × B Driftmentioning

confidence: 99%

“…Reference [10] separated the magnetic contribution from the EEJ by subtracting the magnetic field measured at the station outside the magnetic equator from that measured at the station located at the magnetic equator. Reference [11] showed that, the daytime values of vertical E × B drift velocity are significantly affected by the radio flux F10.7 and thus by the solar cycle. In addition, [12] established a quantitative relationship between the E × B measured at the Jicamarca radar and the magnetometers data at Canete (0.8˚N.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal Variability of the Vertical Drift Velocity Inferred from Ground-Based Magnetometers and C/NOFS Observations in Africa

Honoré¹,

Amaechi²,

Daïka³

et al. 2022

IJG

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This study aims at discussing longitudinal effects on the variability of the vertical E × B drift velocity at low latitudes, specifically over African sector. To this effect, observations from ground-based magnetometers and the Ion Velocity Meter experiment onboard C/NOFS satellite are analyzed in conjunction with equatorial electric field and neutral wind model estimates under geomagnetically quiet conditions in the years 2012-2013. Notwithstanding the limitation in data over Africa, the combination of ground-based and in-situ observations confirmed the existence of longitudinal differences in the E × B between the Atlantic, Western and Eastern African sectors. This was well reproduced by the equatorial electric field model (EEFM) which showed that during noon, the peak of the equatorial electric field (EEF) was the lowest in the Atlantic sector, with an increasing trend towards the Eastern longitude. The Horizontal Wind Model 14 (HWM14) showed that the eastward zonal (poleward meridional) wind velocity was the lowest (highest) in the Eastern sector. Furthermore, the zonal (meridional) wind increased (decreased) from the Eastern to the Atlantic sector. These results highlight the contribution of the neutral wind velocity in driving the longitudinal difference in the vertical How to cite this paper: Honoré, M.E.,

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Estimating the daytime vertical E × B drift velocities in the F-region of the equatorial ionosphere using the IEEY and AMBER magnetic data in West Africa

Cited by 4 publications

References 25 publications

Response of the American equatorial ionization anomaly to 2016 Arctic sudden stratospheric warming events

Response of the American equatorial ionization anomaly to 2016 Arctic sudden stratospheric warming events

Responses of the African and American Equatorial Ionization Anomaly (EIA) to 2014 Arctic SSW Events

Longitudinal Variability of the Vertical Drift Velocity Inferred from Ground-Based Magnetometers and C/NOFS Observations in Africa

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