Latitudinal variation of F-region ionospheric response during three strongest geomagnetic storms of 2015

Paul, Bapan; De, B. K.; Guha, Anirban

doi:10.1007/s40328-018-0221-4

Cited by 28 publications

(15 citation statements)

References 48 publications

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“…These results of present study are in good agreement with previous studies that was conducted about foF2 at low latitudes. The previous studies reveal that during geomagnetic storms, the ionospheric critical frequency (foF2) values at low latitudes increase at the day hours and decrease at the night hours [18][19][20][21][22][23].…”

Section: Discussionmentioning

confidence: 99%

The Effect of Geomagnetic Storms on foF2 Values over Low Latitude Ionosonde Station

Timoçin

2019

Sakarya University Journal of Science

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In this reseach, the changes in the low latitude critical frequencies (foF2) was investigated during the geomagnetically active hours (geomagnetic storms). The critical frequency (foF2) data obtained for 1991 over Manila that is low latitude ionosonde station and the planetary geomagnetic indices (Kp) were used. The superposed epoch analysis was used as a statistical method to investigate the change in the critical frequencies during geomagnetically active hours. The analyzes were conducted separately for the night hours, day hours and all hours of 1991 and they were compared with each other. The results from this research show that the highest change (increase or decrease) in foF2 values during geomagnetically active hours occurs at the event time (zero time) and the local time (day or night) has a significant impact on this change of the foF2 values. The foF2 values increase at local day hours, while the foF2 values decrease at local night hours.

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Section: Discussionmentioning

confidence: 99%

The Effect of Geomagnetic Storms on foF2 Values over Low Latitude Ionosonde Station

Timoçin

2019

Sakarya University Journal of Science

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“…In the European‐African sector, the positive storm on 17 March was observed only in the Northern Hemisphere (Astafyeva et al, 2015), and the daily TEC variations at 30–40°N were characterized by a second peak around 16–20 h LT (Astafyeva et al, 2015; Nava et al, 2016). The main mechanism behind the ionospheric perturbation during this time intervals is, most probably, the prompt penetration of electric field (PPEF) (Fagundes et al, 2016; Nava et al, 2016; Paul et al, 2018).…”

Section: Tec Variations In 2015mentioning

confidence: 99%

“…The geomagnetic storm on 22 June (GS2, see Table S2) is thoroughly described in, for example, Astafyeva et al (2016, 2017, 2018), Balasis et al (2018), Liu et al (2015), Ngwira et al (2018), Paul et al (2018), Pazos et al (2019), Piersanti et al (2017), and Singh and Sripathi (2017). This storm, similar to the one in March, was related to the arrival of two CMEs associated with two solar flares (M class) on 18 and 21 June.…”

Section: Tec Variations In 2015mentioning

confidence: 99%

“…The geomagnetic storm on 17–18 March 2015 (GS1, see Table S2) is characterized by Dst < −220 nT and Kp = 8. This storm and its effect on the ionosphere is thoroughly analyzed by many authors (see, e.g., Astafyeva et al, 2015; Balasis et al, 2018; Fagundes et al, 2016; Liu et al, 2015; Liu & Shen, 2017; Nava et al, 2016; Paul et al, 2018; Piersanti et al, 2017). The storm was triggered by two flares of C type on 14 and 15 March and two halo CMEs arrived at 1 AU on 17 March (Liu et al, 2015).…”

Section: Tec Variations In 2015mentioning

confidence: 99%

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Variations of TEC Over Iberian Peninsula in 2015 Due to Geomagnetic Storms and Solar Flares

2020

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The total electron content (TEC) over the Iberian Peninsula was studied using data from two locations obtained both by Global Navigation Satellite System receivers and an ionosonde. The principal component analysis applied to the TEC data allowed us to extract two main modes. Each mode is characterized by a daily TEC variation of a certain type (principal component [PC]) and its amplitude for each of the studied days (given by the empirical orthogonal functions [EOFs]). The variations of these modes as well as the original TEC data were studied in relation to four strongest geomagnetic storms of 2015 and three geomagnetic disturbances of lower amplitude observed during the same months. EOFs were found to correlate well with space weather parameters characterizing solar UV and XR fluxes, number of the solar flares, parameters of the solar wind, and geomagnetic indices. Multiple regression models were constructed to fit EOFs using combinations of the space weather parameters with a lag from 0 to 2 days. Combining the regression models of EOFs with the corresponding PCs, we reconstructed TEC variations as a function of space weather parameters observed in previous days. The possibility to use such reconstructions for the TEC forecasting was also studied. The results of the data analysis can be used to develop regional empirical models allowing prediction of ionospheric response to different forcings, for example, geomagnetic storms. In particular, the method called

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“…Though the IRI model versions are updated frequently to obtain a better estimation, there still remains scope for improvement with regard to validation with the GNSS ionosonde and coherent scatter radar. Extensive research has been conducted so far with the use of IRI models for different equilateral and low-latitude locations [17][18][19][20][21][22][23][24][25][26][27][28].The lack of coherence is observed especially during geomagnetic disturbance. Recently, Sharma et al [29] studied the feasibility of the NeQuick-2 model to explore TEC variation in the ionosphere over the Manama, Bahrain region and observed that the data was in good agreement during a specific period; however, the need of further experimentation and more scientific efforts was stressed, for improving the empirical model and ensuring better representation of a realistic model.…”

Section: Introductionmentioning

confidence: 99%

Total Electron Content Variation Over HALY (Al-Jouf), Saudi Arabia and Comparison with IRI-2012 and IRI-2016 Models

Sharma¹

2020

Preprint

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Ionospheric perdition studies are very few over Saudi Arabia due to less availability of data measurement. Although such kind of studies have been carried out all over the world, there still remains scope to ascertain prediction error in this country. Hence, in the current study, the ionospheric variation from April 2016 to February 2018 (almost 22 months) was studied over a GPS site HALY (29.140N; 36.10 0E), Al-Jouf, Saudi Arabia. Diurnal, monthly and seasonal ionospheric variations were investigated and compared with the existing global IRI (IRI 2012 and IRI 2016) models. Percentage deviation between observed and modeled TEC variation values indicated largescale deviation around 200% during the time of storm. Results showed that the IRI 2012 model had the lowest Root Mean Square Error (RMSE) value (2.7437) during the September Equinox while IRI-2016 showed the highest RMSE magnitudes (3.0166) during the December Solstice. In some seasons, the RMSE values were observed to be better for IRI 2012 while on other occasions, it emerged that IRI 2016 yielded more accurate results. Such variations indicate that even the most updated version of the IRI 2016 model is unable to provide perfect estimation and the requirement of further research and improvement in this field cannot be denied.

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Latitudinal variation of F-region ionospheric response during three strongest geomagnetic storms of 2015

Cited by 28 publications

References 48 publications

The Effect of Geomagnetic Storms on foF2 Values over Low Latitude Ionosonde Station

The Effect of Geomagnetic Storms on foF2 Values over Low Latitude Ionosonde Station

Variations of TEC Over Iberian Peninsula in 2015 Due to Geomagnetic Storms and Solar Flares

Total Electron Content Variation Over HALY (Al-Jouf), Saudi Arabia and Comparison with IRI-2012 and IRI-2016 Models

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