Ionospheric Effects, Monitoring, and Mitigation Techniques

Morton, Y. Jade; Yang, Zhenghong; Breitsch, Brian; Bourne, Harrison; Rino, C. L.

doi:10.1002/9781119458449.ch31

Cited by 17 publications

(6 citation statements)

References 161 publications

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“…scintillations (see Ghobadi et al, 2020 and references therein), that are caused by "small-scale" irregularities, those whose sizes are below the Fresnel's scale (hundreds of meters for L-band signals). Ionospheric refraction and diffraction effects can threaten GNSS-based applications, leading, for example, to a degradation of the positioning accuracy (see, e.g., Park et al, 2016;Morton et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

A measure of ionospheric irregularities: zonal velocity and its implications for L-band scintillation at low-latitudes

Cesaroni

Spogli

Franceschi

et al. 2021

Earth and Planetary Physics

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Section: Introductionmentioning

confidence: 99%

A measure of ionospheric irregularities: zonal velocity and its implications for L-band scintillation at low-latitudes

Cesaroni

Spogli

Franceschi

et al. 2021

Earth and Planetary Physics

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“…At high latitudes, the GNSS phase scintillation could be due to refractive and diffractive effects. The refractive effects are the result of rapid total electron content (TEC) variations as the GNSS signal scans across irregularities (e.g., Morton et al., 2020; Prikryl, Ghoddousi‐Fard, et al., 2015; Prikryl, Jayachandran, et al., 2015). The magnitude of the phase scintillation is determined by the amount of the TEC fluctuations, while the rate of the fluctuation is determined by the plasma drift velocity.…”

Section: Discussionmentioning

confidence: 99%

“…They give rise to scintillations of trans‐ionospheric radio signals characterized by rapid fluctuations in the signal amplitude and/or carrier phase. For Global Positioning System/GNSS (GPS/GNSS) applications, scintillation impacts receiver signal acquisition and tracking processes, causing signal carrier cycle slips or even loss of lock (Breitsch et al., 2020; Morton et al., 2020 and references therein). Identification and characterization of the ionospheric irregularities and associated scintillations play an important role in predicting ionospheric scintillations, especially under extreme space weather conditions (e.g., McGranaghan et al., 2018; Moen et al., 2013; Prikryl et al., 2012; Prikryl, Ghoddousi‐Fard, et al., 2013; Prikryl, Sreeja, et al., 2013).…”

Section: Introductionmentioning

confidence: 99%

Time Lags Between Ionospheric Scintillation Detection at Northern Auroral Latitudes and Onset of Geomagnetic Storms

Yang,

Morton,

Liu

2023

JGR Space Physics

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Ionospheric responses to geomagnetic storms can cause irregular plasma structures and scintillation of Global Navigation Satellite System (GNSS) signals. In this paper, we investigate time lags between the detection of GNSS signal scintillation at northern hemisphere auroral latitudes and the onset of 15 geomagnetic storms that occurred in 2015–2017. The results show that the time lags between the detection of ground‐based GNSS scintillations and the observed sudden change in solar wind parameters are between tens of minutes and 15 hr. This time lag consists of two segments. The first segment is about 30–80 min, which is the lag between observed disturbances in the geomagnetic field and solar wind disturbances detected by orbiting spacecrafts around the L1 point. The second segment is between the observed GNSS signal scintillation and the storm sudden commencement (SSC). This second lag segment varies in the range of about 10–830 min and highly depends on the storm onset time and geomagnetic locations of GNSS signal propagation paths. Longer time lags over 450 min were observed with the signal ionospheric piercing point at 60–70° geomagnetic latitudes (MLAT) on the dayside, while shorter lags of 10∼450 min were observed with the signal IPPs at 68–81° MLAT and on the nightside at the time of SSC. The lag time variations can be explained by ionospheric irregularity production and transport processes associated with a variety of auroral and polar cap phenomena in response to solar wind coupling to the magnetosphere and ionosphere.

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“…Separating the DCBs of satellites and receivers from biased ionospheric observables has been widely studied in interpreting the ionosphere. Several IGS Ionospheric Associate Analysis Centers (IAACs), such as the Center for Orbit Determination in Europe (CODE), the Jet Propulsion Laboratory (JPL), and the European Space Operations Center of European Space Agency (ESOC), estimate satellites and ground receiver DCBs simultaneously as daily constants (Choi et al, 2011;Feltens & Dow, 2006;Komjathy et al, 2005;Mannucci et al, 1998;Morton et al, 2020;Wang et al, 2020). However, the modeling is based on the commonly used smoothed geometry-free (GF) combination.…”

Section: Introductionmentioning

confidence: 99%

A Consistent Regional Vertical Ionospheric Model and Application in PPP-RTK Under Sparse Networks

Lyu

Xiang

Tang

et al. 2023

navi

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Ionospheric augmentation is one of the most important dependences of PPP-RTK. Because of the dispersive features of the ionosphere, the ionospheric information is usually coupled with satellite-and receiver-related biases. This will pose a hidden trouble of inconsistent ionospheric corrections if different numbers of reference stations are involved in calculation. In this paper, we aimed at introducing a consistent regional vertical ionospheric model (RVIM) by estimating receiver biases. We first presented the inconsistent ionospheric corrections under sparse networks. Then the RVIM is compared with the International GNSS Service (IGS) final global ionospheric map (GIM) product, and the average of differences between them is 1.13 TECU. Furthermore, the slant ionospheric corrections were employed as a reference to evaluate both RVIM and GIM. The mean RMS values are 1.48 and 2.23 TECU for the RVIM and GIM, respectively. Finally, we applied the RVIM into PPP-RTK. Results

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Ionospheric Effects, Monitoring, and Mitigation Techniques

Cited by 17 publications

References 161 publications

A measure of ionospheric irregularities: zonal velocity and its implications for L-band scintillation at low-latitudes

A measure of ionospheric irregularities: zonal velocity and its implications for L-band scintillation at low-latitudes

Time Lags Between Ionospheric Scintillation Detection at Northern Auroral Latitudes and Onset of Geomagnetic Storms

A Consistent Regional Vertical Ionospheric Model and Application in PPP-RTK Under Sparse Networks

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