Spectral characteristics of auroral region scintillation using 100 Hz sampling

McCaffrey, Anthony M.; Jayachandran, P. T.

doi:10.1007/s10291-017-0664-z

Cited by 21 publications

(25 citation statements)

References 27 publications

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“…The multipath effect also depends on the PRN code rate (please see [7] for details). Moreover the multipath effect can appear at higher elevation angles than 20°(please see [8] for details). Multipath effects occurring at any elevation can be minimized by the geometrical corrections in the data [2].…”

Section: Geometrical Error Correction and Lower Elevation Multipathmentioning

confidence: 99%

Ionospheric Scintillation Modeling Needs and Tricks

Priyadarshi¹

2020

Satellites Missions and Technologies for Geosciences

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The wavelength of the radio-wave satellite signal is of the order of the minimal small-scale ionospheric irregularities (i.e., a few centimeters). As the satellite signal passes through the ionosphere, its interaction with the ionospheric irregularity structures causes refraction, reflection, and polarization in the satellite signal. Ionospheric irregularities degrade the trans-ionospheric radio-wave signal quality, between the satellite and the receivers, due to scintillation. The physics-based model often fails to produce global morphology during the extreme solar events, whereas empirical models based on the ionospheric scintillation data demonstrate better quality to forecast the scintillation effects during extreme solar event. It is really tricky to make a scintillation model that is sensitive to low and high solar activities as well as extreme solar events simultaneously. In the presented book chapter, we will discuss/review the needs and tricks of modeling ionospheric scintillation during extreme solar events as well as all weather and latitudinal cases. There are several aspects that influence the scintillation occurrence, its strength, and global distribution. The latitudinal dependence, local weather, solar/geomagnetic activity conditions, and local times are the widely accepted factors that control and influence ionospheric scintillation most. This book chapter discusses all these aspects and also suggests the ways to cast aside those factors that led to the wrong measure of scintillation indices.

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Section: Geometrical Error Correction and Lower Elevation Multipathmentioning

confidence: 99%

Ionospheric Scintillation Modeling Needs and Tricks

Priyadarshi¹

2020

Satellites Missions and Technologies for Geosciences

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“…An event here is defined as a 1‐hr period when a GPS satellite observes phase scintillation with σ φ > 0.5 rad and it traverses through an auroral arc during that hour as observed by the ASI. Scintillation indices < 0.4 are considered as weak scintillation (e.g., McCaffrey & Jayachandran, ; Rino, ; Yeh & Liu, ). To analyze events which have medium to large scintillation values, σ φ > 0.5 is chosen as a threshold.…”

Section: Data Setmentioning

confidence: 99%

Proxy Index Derived From All Sky Imagers for Space Weather Impact on GPS

et al. 2018

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Global Positioning System (GPS) signals passing through the auroral ionosphere, which exhibits multiscreen electron density structuring, maybe scintillated causing observation and possibly positioning errors. It is advantageous to determine the magnitude of GPS signal scintillation associated with a given level of auroral brightness observed around the signal's ionospheric pierce point (IPP). Such information would enable the exploitation of auroral image observations in space weather monitoring and help in assessment of impact on infrastructure/services reliant on GNSS. Studies have observed a general positive correlation between auroral brightness and GPS phase scintillation but not a definite one-to-one relationship. In this study a correlation coefficient of 0.38 is observed between the phase scintillation and the level of auroral arc brightness around the GPS signal's raypath for a data set of 292 events in the Canadian sector. Alternatively, a new pseudo-scintillation index, Rate of change of Brightness index, is introduced in this study which is derived from the changing auroral brightness around the satellite's IPP. This Rate of change of Brightness index is highly positively correlated (correlation coefficient: 0.75) with GPS phase scintillation. Spatial and spectral relationships between auroral brightness around the satellite's IPP and phase scintillation were also analyzed. It is observed that probability of GPS signals experiencing phase scintillation is high when the auroral brightness around the satellite's IPP has dominant fluctuations in the frequency band~0.06 to 0.16 Hz. These results indicate that GPS signal scintillation is related to the dynamics of the brightness around the satellite's IPP as the satellite signal propagates through the aurora.

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“…Such a high temporal resolution allows us to detect small-scale weak ionospheric turbulences and provides a TEC measurement accuracy of approximately 10 −3 TECU or even better [6,7]. High-rate GNSS data can help researchers answer a fundamental question regarding which sampling rate is the border between the weak ionospheric events and non-informative noises [8]. At the same time, in regard to the problem of detecting weak ionospheric disturbances, signal processing techniques inside a GNSS receiver play the same crucial role as the data temporal resolution.…”

Section: Introductionmentioning

confidence: 99%

Comparison of TEC Calculations Based on Trimble, Javad, Leica, and Septentrio GNSS Receiver Data

et al. 2020

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A Global Navigation Satellite System (GNSS) receiver is, to some extent, a “black box” when its data is used for ionospheric studies. Our results based on Javad, Septentrio, Trimble, and Leica GNSS receivers have proven that the accuracy of the slant Total Electron Content (TEC) calculation can differ significantly depending on the GNSS receiver type/model, because TEC measurements depend on the carrier phase tracking technique applied in a receiver. The correlation coefficient between carrier phase noise in L1 and L2 channels is considered as a possible indicator that shows if the L1-aided tracking technique or independent tracking is applied inside a receiver. An empirical model of the TEC noise component was provided to determine the TEC noise value in different types/models of GNSS receivers.

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Spectral characteristics of auroral region scintillation using 100 Hz sampling

Cited by 21 publications

References 27 publications

Ionospheric Scintillation Modeling Needs and Tricks

Ionospheric Scintillation Modeling Needs and Tricks

Proxy Index Derived From All Sky Imagers for Space Weather Impact on GPS

Comparison of TEC Calculations Based on Trimble, Javad, Leica, and Septentrio GNSS Receiver Data

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