Analysis of Plasma Bubble Signatures in Total Electron Content Maps of the Low-Latitude Ionosphere: A Simplified Methodology

Oliveira, César Buchile Abud de; Espejo, Teddy Modesto Surco; Moraes, Alison de Oliveira; Costa, Emanoel; Sousasantos, Jonas; Lourenço, Luis Felipe Dias; Abdu, M. A.

doi:10.1007/s10712-020-09584-7

Cited by 37 publications

(16 citation statements)

References 96 publications

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“…In summary, the above procedures simulate nonuniform irregularity layers with bottom at 400 km and a fixed thickness L , which frozenly drift eastward along the geomagnetic equator and affect the two ray paths. These structures are analogous to those observed in the total electron content (TEC) maps and 630 nm airglow images displayed by Takahashi et al (2015) and Oliveira et al (2020). At each instant of time, local irregularities characterized by the corrected δNi m 2 and δNi m 1 affect propagation along the ray paths (Rx, GSO2) and (Rx, GSO1) at IPP2 and IPP1, respectively.…”

Section: Data Description and Processingsupporting

confidence: 84%

Space Diversity Mitigation Effects on Ionospheric Amplitude Scintillation With Basis on the Analysis of C/NOFS Planar Langmuir Probe Data

2020

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The present contribution applies a modified version of a well‐known weak‐scatter scintillation model to the propagation paths between an Earth station and two geostationary satellites, as they are affected by drifting ionospheric irregularities detected by the planar Langmuir probe onboard the Communications/Navigation Outage Forecasting System (C/NOFS) satellite. This study considers one year of data from a limited altitude range, two longitude sectors and frequencies to analyze the mitigation effects from the angular distance between the geostationary satellites on the space diversity gain, considering the statistical distributions of the amplitude scintillation index S4. The results indicate that the space diversity gain increases with the angular distance between geostationary satellites. However, once the angular distance between the geostationary satellites reaches a certain limit (approximately 20°), the space diversity gain no longer increases. Additionally, these gains are high at the L1 frequency and less impressive at an Ultra High Frequency (UHF). It is shown that these observations are consistent with the South American and Indian‐Asian equatorial and low‐latitude ionospheric environments, also characterized through the same data and the scintillation formulation.

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Section: Data Description and Processingsupporting

confidence: 84%

Space Diversity Mitigation Effects on Ionospheric Amplitude Scintillation With Basis on the Analysis of C/NOFS Planar Langmuir Probe Data

2020

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“…The example in Figure 5 illustrates typical ionospheric dynamics over a 24‐hr period during EPB days. In order to perform a qualitative validation of the method, the maps generated were compared with other geophysical instruments in a procedure similar to the one adopted in Oliveira et al (2020). Geophysical measurements used as references include data from scintillation monitors in the CIGALA/CALIBRA network (Vani et al, 2017) and OI 630‐nm atomic oxygen images acquired by an all‐sky imager deployed in São João do Cariri (7°23′S, 36°31′W) in northeastern Brazil.…”

Section: Resulting Maps and Qualitative Validationmentioning

confidence: 99%

“…This threshold was arbitrarily chosen to avoid noisy measurements in low-elevation satellites. Additionally, Oliveira et al (2020) apply the same threshold of 20°.…”

Section: Presentation Of the Proposed Methodologymentioning

confidence: 99%

“…The IPPs in Figure 2 are not yet stacked. The stack-in-space scheme is illustrated in Figure 3 and, along with the 5-min grouping, is similar to the strategy performed by Oliveira et al (2020). This proposed grouping strategy is more suitable for the low-latitude environment since it creates bins that are small enough in space to avoid significant spatial decorrelation within each cell and short enough in time to avoid significant temporal decorrelation within each time step.…”

Section: 1029/2020rs007158mentioning

confidence: 99%

“…Using data from RBMC, Oliveira et al (2020) employed a different methodology to construct TEC maps, suitable to low latitudes that take advantage of spatial and temporal correlation of the ionosphere to encompass a higher amount of data to the interpolation process. Using data collected at a sample rate of 15 s, the authors accumulated data during 5 min in a predefined grid spacing of 1° × 1°.…”

Section: Ionospheric Mapsmentioning

confidence: 99%

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Regional Ionospheric Delay Mapping for Low‐Latitude Environments

et al. 2020

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The ionosphere in low‐latitude regions has strong dynamics reflected by unique phenomena such as the equatorial ionization anomaly and equatorial plasma bubbles. Since the ionosphere can significantly affect space‐to‐Earth technologies, notably communication systems and Global Navigation Satellite Systems (GNSS), the variations in ionospheric total electron content are of great interest to the space weather community and operators of these technologies. Motived by these issues, this paper proposes a new methodology to generate ionospheric delay maps using data from a network of GNSS monitoring stations. The methodology developed is suitable for low latitudes and has low level of complexity. It is based on the thin shell model of the ionosphere and uses groupings of measurements in time and space, triangulation, linear interpolation, and smoothing. The resulting maps show detailed coverage of large‐scale phenomena, like structures of equatorial plasma bubbles, in a way that other geophysical instruments are not able to provide. In a qualitative validation using a network of stations in Brazil, it was demonstrated that the maps were able to clearly identify plasma bubble structures also captured by other instruments, like scintillation monitors and all‐sky imager. The quantitative assessment showed errors less than 4 m in 99.9% of the times in days with high variability of the ionosphere and less than 1 m in a day with very low ionization. The quality of the generated maps with this new methodology using this density of data opens a wide range of possibilities for scientific and operational applications in low‐latitude ionosphere environment.

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Space Weather General Concepts

Sergeeva

2022

Space Weather Impact on GNSS Performance

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Analysis of Plasma Bubble Signatures in Total Electron Content Maps of the Low-Latitude Ionosphere: A Simplified Methodology

Cited by 37 publications

References 96 publications

Space Diversity Mitigation Effects on Ionospheric Amplitude Scintillation With Basis on the Analysis of C/NOFS Planar Langmuir Probe Data

Space Diversity Mitigation Effects on Ionospheric Amplitude Scintillation With Basis on the Analysis of C/NOFS Planar Langmuir Probe Data

Regional Ionospheric Delay Mapping for Low‐Latitude Environments

Space Weather General Concepts

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