The Rate of Ionospheric Total Electron Content Index (ROTI) as a Proxy for Nighttime Ionospheric Irregularity Using Ethiopian Low-Latitude GPS Data

Gogie, Tsegaye Kassa

doi:10.1134/s0016793221030051

Cited by 3 publications

(3 citation statements)

References 34 publications

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“…The amplitude and phase scintillation indices are usually sampled at a high frequency with a specially configured cost-effective GNSS receiver exclusively for space weather monitoring, whose availability is sparse across any region. However, the relatively abundant ordinary non-scintillation geodetic receivers sampled at a lower frequency could provide equivalent ROTI estimates, which are equally useful for understanding the ionospheric irregularities in the absence of ionospheric monitoring receivers [29][30][31]. ROTI refers to the standard deviation of the rate of change of TEC (ROT), whose values per minute can be obtained from the slant TEC estimations following the dispersive nature of refractive ionospheres in the dual-frequency phase and pseudorange observables.…”

Section: Introductionmentioning

confidence: 99%

Signatures of Equatorial Plasma Bubbles and Ionospheric Scintillations from Magnetometer and GNSS Observations in the Indian Longitudes during the Space Weather Events of Early September 2017

et al. 2022

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Scintillation due to ionospheric plasma irregularities remains a challenging task for the space science community as it can severely threaten the dynamic systems relying on space-based navigation services. In the present paper, we probe the ionospheric current and plasma irregularity characteristics from a latitudinal arrangement of magnetometers and Global Navigation Satellite System (GNSS) stations from the equator to the far low latitude location over the Indian longitudes, during the severe space weather events of 6–10 September 2017 that are associated with the strongest and consecutive solar flares in the 24th solar cycle. The night-time influence of partial ring current signatures in ASYH and the daytime influence of the disturbances in the ionospheric E region electric currents (Diono) are highlighted during the event. The total electron content (TEC) from the latitudinal GNSS observables indicate a perturbed equatorial ionization anomaly (EIA) condition on 7 September, due to a sequence of M-class solar flares and associated prompt penetration electric fields (PPEFs), whereas the suppressed EIA on 8 September with an inverted equatorial electrojet (EEJ) suggests the driving disturbance dynamo electric current (Ddyn) corresponding to disturbance dynamo electric fields (DDEFs) penetration in the E region and additional contributions from the plausible storm-time compositional changes (O/N2) in the F-region. The concurrent analysis of the Diono and EEJ strengths help in identifying the pre-reversal effect (PRE) condition to seed the development of equatorial plasma bubbles (EPBs) during the local evening sector on the storm day. The severity of ionospheric irregularities at different latitudes is revealed from the occurrence rate of the rate of change of TEC index (ROTI) variations. Further, the investigations of the hourly maximum absolute error (MAE) and root mean square error (RMSE) of ROTI from the reference quiet days’ levels and the timestamps of ROTI peak magnitudes substantiate the severity, latitudinal time lag in the peak of irregularity, and poleward expansion of EPBs and associated scintillations. The key findings from this study strengthen the understanding of evolution and the drifting characteristics of plasma irregularities over the Indian low latitudes.

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Section: Introductionmentioning

confidence: 99%

Signatures of Equatorial Plasma Bubbles and Ionospheric Scintillations from Magnetometer and GNSS Observations in the Indian Longitudes during the Space Weather Events of Early September 2017

et al. 2022

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“…The ionospheric irregularities and scintillations can be investigated in two ways when using GNSS signals. The first of these methods uses carrier to noise ( ⁄ ) ratio to calculate the amplitude scintillation index S [9] and the second one uses ionospheric delay to calculate the rate of change of TEC index (ROTI) which is the replacement index of S [10]. The current work is based on the multi-step interpretation and processing of the L (1575.42MHz), L (1176.45MHz), and S (2492.028MHz) GNSS signals corresponding to GPS and NavIC satellite constellations.…”

Section: Methodolymentioning

confidence: 99%

“…In the first method, the amplitude scintillation index S is calculated as the ratio of the standard deviation to the mean value of the averaged ⁄ [9]. The effectiveness of the amplitude scintillations index is divided into 3 categories which are week scintillations when S is less than 0.3, moderate scintillations when S ranges between 0.3 and 0.6, and strong scintillations when S is above 0.6 [11].…”

Section: Methodolymentioning

confidence: 99%

Analysis of Ionospheric Scintillations using GPS and NavIC Combined Constellation

Nimmakayala

Vemuri

2023

Eng. Technol. Appl. Sci. Res.

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The disturbances and irregularities in the ionosphere are the primarily recognized ramifications of space weather called scintillations. Irregularities in the electron densities are the source of the ionospheric scintillations. This article investigates the ionospheric scintillations, which are predominant in the trans-equatorial and equatorial regions. Based on the data from a multi-constellation Global Navigation Satellite Systems (GNSS) receiver at the Chaitanya Bharathi Institute of Technology Hyderabad, the relationship between the amplitude scintillation index S4 and the rate of change of total electron content (ROTI) is examined. The correlation coefficient between S4 and ROTI is demonstrated in this article. The outcome validates the usefulness of the ROTI in identifying the scintillations.

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Space Weather General Concepts

Sergeeva

2022

Space Weather Impact on GNSS Performance

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The Rate of Ionospheric Total Electron Content Index (ROTI) as a Proxy for Nighttime Ionospheric Irregularity Using Ethiopian Low-Latitude GPS Data

Cited by 3 publications

References 34 publications

Signatures of Equatorial Plasma Bubbles and Ionospheric Scintillations from Magnetometer and GNSS Observations in the Indian Longitudes during the Space Weather Events of Early September 2017

Signatures of Equatorial Plasma Bubbles and Ionospheric Scintillations from Magnetometer and GNSS Observations in the Indian Longitudes during the Space Weather Events of Early September 2017

Analysis of Ionospheric Scintillations using GPS and NavIC Combined Constellation

Space Weather General Concepts

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