A Method for Determining Parameters of Mid-Scale Traveling Ionospheric Disturbances

The growing amount of available experimental data on the Earth's ionosphere total electron content measurements requires the development of modern data processing instruments. Traveling ionospheric disturbances (TIDs) are one of the ionospheric phenomena that are of great interest. To automate the processing of TEC horizontal distribution maps for studying TIDs, a method for detecting TIDs and their parameters, such as amplitude, speed, and direction of propagation has been developed. It is based on determining the signal-to-noise ratio of TEC variations. The proposed method was used to analyze the TID distribution throughout the United States for more than 40 magnetically quiet days in 2023. The results of the obtained statistical characteristics of the detected TIDs are presented.

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Publication Details

Journal
Sensors
Published
2025-09-01
DOI
https://doi.org/10.3390/s25175377
Citations
2
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
2.31
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article

A Method for Determining Parameters of Mid-Scale Traveling Ionospheric Disturbances

A. F. Yakovets, Alexey Andreyev, Vitaliy Kapytin, Yekaterina Chsherbulova
2 citations
Sensors
Ionosphere and magnetosphere dynamics
2.31
article

A Method for Determining Parameters of Mid-Scale Traveling Ionospheric Disturbances

A. F. Yakovets, Alexey Andreyev, Vitaliy Kapytin, Yekaterina Chsherbulova
article en
2 citations

Abstract

The growing amount of available experimental data on the Earth's ionosphere total electron content measurements requires the development of modern data processing instruments. Traveling ionospheric disturbances (TIDs) are one of the ionospheric phenomena that are of great interest. To automate the processing of TEC horizontal distribution maps for studying TIDs, a method for detecting TIDs and their parameters, such as amplitude, speed, and direction of propagation has been developed. It is based on determining the signal-to-noise ratio of TEC variations. The proposed method was used to analyze the TID distribution throughout the United States for more than 40 magnetically quiet days in 2023. The results of the obtained statistical characteristics of the detected TIDs are presented.

SensorsVol. 25(17)
Ionosphere Institute (KZ)
Openalex Percentile: Top 10%
Ionosphere and magnetosphere dynamics
2.31
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