Ionospheric response to the 26 August 2018 geomagnetic storm using GPS-TEC observations along 80° E and 120° E longitudes in the Asian sector

Lissa, D.; Srinivasu, V.K.D.; Prasad, D. S. V. V. D.; Niranjan, K.

doi:10.1016/j.asr.2020.05.025

Cited by 40 publications

(19 citation statements)

References 48 publications

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“…Lissa et al. (2020) have reported a similar enhancement in TEC at PGEN during the MP. The fact remains that this southern equatorial region receives significant solar illumination at this time of the year, August.…”

Section: Resultsmentioning

confidence: 68%

Storm Time Effects on Latitudinal Distribution of Ionospheric TEC in the American and Asian‐Australian Sectors: August 25–26, 2018 Geomagnetic Storm

et al. 2021

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On the dayside of August 25–26, 2018 (main phase, MP of the storm), we unveiled the storm time effects on the latitudinal distribution of ionospheric total electron content (TEC). We used 17 and 19 Global Positioning System receivers in American and Asian‐Australian sectors, respectively. Also, we employed a pair of magnetometers in each sector to unveil storm time effects on vertical E × B upward directed inferred drift velocity in the F region ionosphere. Also used is NASA Thermosphere Ionosphere Mesosphere Energetics and Dynamics satellite airglow instrument to investigate storm time changes in neutral composition, O/N2 ratio. In this investigation, we corrected the latitudinal offset found in the works of Younas et al. (2020, https://doi.org/10.1029/2020JA027981). Interestingly, we observed that a double‐humped increase (DHI) seen at a middle latitude station (MGUE, ∼22°S) after the MP on the dayside in American sector (Younas et al., 2020, https://doi.org/10.1029/2020JA027981) did straddle ∼23.58°N and ∼22°S. On August 25, 2018, storm commencement was evident in Sym‐H (∼−8 nT) around 18:00 UT. It later became intensified (∼−174 nT) on August 26 around 08:00 UT. During storm's MP (after the MP), fountain effect operation was significantly enhanced (inhibited) in Asian‐Australian (American) sector. Middle latitude TEC during MP got reduced in American sector (13:00 LT–15:40 LT) compared to those seen in Asian‐Australian sector (13:00 LT–15:40 LT). The northern equatorial peak (∼25 TECU) seen at IHYO (14:00 LT) after MP in the American sector is higher when compared with that (∼21 TECU) seen at PPPC (11:40 LT) during MP in Asian‐Australian sector.

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Section: Resultsmentioning

confidence: 68%

Storm Time Effects on Latitudinal Distribution of Ionospheric TEC in the American and Asian‐Australian Sectors: August 25–26, 2018 Geomagnetic Storm

et al. 2021

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“…Overall, the maps show no suppression/weakening of dayside EIA, which indicates no DDEF effects on TEC (and Digisonde) data during the RP (August 27-29, 2018) of the geomagnetic storm. Lissa et al (2020) studied the ionosphere responses on August 25, 2018 geomagnetic storm using TEC data from GPS stations distributes over India, Sri Lanka, China, Taiwan, and the Philippines. The authors also observed large positive effects in the daytime hours for three consecutive days from August 26 to 29.…”

Section: Resultsmentioning

confidence: 99%

First Look at a Geomagnetic Storm With Santa Maria Digisonde Data: F Region Responses and Comparisons Over the American Sector

Moro

Xu²,

Denardini

et al. 2021

JGR Space Physics

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Santa Maria Digisonde data are used for the first time to investigate the F region behavior during a geomagnetic storm. The August 25, 2018 storm is considered complex due to the incidence of two Interplanetary Coronal Mass Ejections and a High‐Speed Solar Wind Stream (HSS). The F 2 layer critical frequency (f o F 2) and its peak height (h m F 2) collected over Santa Maria, near the center of the South American Magnetic Anomaly (SAMA), are compared with data collected from Digisondes installed in the Northern (NH) and Southern (SH) Hemispheres in the American sector. The deviation of f o F 2 (Df o F 2) and h m F 2 (Dh m F 2) are used to quantify the ionospheric storm effects. Different F region responses were observed during the main phase (August 25–26), which is attributed to the traveling ionospheric disturbances and disturbed eastward electric field during nighttime. The F region responses became highly asymmetric between the NH and SH at the early recovery phase (RP, August 26) due to a combination of physical mechanisms. The observed asymmetries are interpreted as caused by modifications in the thermospheric composition and a rapid electrodynamic mechanism. The persistent enhanced thermospheric [O]/[N2] ratio observed from August 27 to 29 combined with the increased solar wind speed induced by the HSS and IMF B z fluctuations seem to be effective in causing the positive ionospheric storm effects and the shift of the Equatorial Ionization Anomaly crest to higher than typical latitudes. Consequently, the most dramatic positive ionospheric storm during the RP occurred over Santa Maria (∼120%).

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“…The reference values of the ionospheric parameter have been utilized in various studies to distinguish the effects of a geomagnetic storm on the ionosphere. Szuszczewicz et al (1998) set the reference with the average value for 3 days, and Adebiyi et al (2014) and Lissa et al (2020) did with the 5 days average values. The 7-and 10-day average values were used by Fagundes et al (2016) and Jin et al (2017), respectively.…”

Section: Comparison Of Lstm-storm and Lstm-quiet Modelsmentioning

confidence: 99%

Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period

et al. 2021

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In our previous study (Moon et al., 2020, https://doi.org/10.3938/jkps.77.1265), we developed a long short‐term memory (LSTM) deep‐learning model for geomagnetic quiet days (LSTM‐quiet) to perform effective long‐term predictions for the regional ionosphere. However, their model could not predict geomagnetic storm days effectively at all. This study developed an LSTM model suitable for geomagnetic storms using the new training data set and redesigning input parameters and hyper‐parameters. We collected 131 days of geomagnetic storm cases from January 1, 2009 to December 31, 2019, provided by the Japan Meteorological Agency's Kakioka Magnetic Observatory, and obtained the interplanetary magnetic field Bz, Dst, Kp, and AE indices related to the geomagnetic storm corresponding to each storm date from the OMNI database. These indices and F2 parameters (foF2 and hmF2) of Jeju ionosonde (33.43°N, 126.30°E) were used as input parameters for the LSTM model. To test and verify the predictive performance and the usability of the LSTM model for geomagnetic storms developed in this manner, we created and diagnosed the 0.5, 1, 2, 3, 6, 12, and 24‐h predictive LSTM models. According to the results of this study, the LSTM storm model for 24‐h developed in this study achieved a predictive performance during the three geomagnetic storms about 32% (10%), 34% (17%), and 37% (5%) better in root mean square error of foF2 (hmF2) than the LSTM quiet model (Moon et al., 2020, https://doi.org/10.3938/jkps.77.1265), SAMI2, and IRI‐2016 models. We propose that the short‐term predictions of less than 3 h are sufficiently competitive than other traditional ionospheric models. Thus, this study suggests that our model can be used for short‐term prediction and monitoring of the regional mid‐latitude ionosphere.

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Ionospheric response to the 26 August 2018 geomagnetic storm using GPS-TEC observations along 80° E and 120° E longitudes in the Asian sector

Cited by 40 publications

References 48 publications

Storm Time Effects on Latitudinal Distribution of Ionospheric TEC in the American and Asian‐Australian Sectors: August 25–26, 2018 Geomagnetic Storm

Storm Time Effects on Latitudinal Distribution of Ionospheric TEC in the American and Asian‐Australian Sectors: August 25–26, 2018 Geomagnetic Storm

First Look at a Geomagnetic Storm With Santa Maria Digisonde Data: F Region Responses and Comparisons Over the American Sector

Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period

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