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Development of a System for Detecting Traveling Ionospheric Disturbances Based on GNSS Data.

Authors :
Andreyev, Alexey
Kapytin, Vitaly
Mukasheva, Saule
Somsikov, Vyacheslav
Source :
Atmosphere; Feb2022, Vol. 13 Issue 2, p183, 1p
Publication Year :
2022

Abstract

The large amount of data that are available for ionospheric studies using the GPS TEC method, as well as the need to take into account complex atmospheric dynamics, create certain difficulties in automating the process of searching and recognizing traveling ionospheric disturbances generated by different sources. To automate the process of detecting wave disturbances, numerical criteria for assessing the level of the wave disturbance signal were proposed. The signal-to-noise ratio calculated by the proposed method was used as one of such criteria. This work contains a description of the developed software system that implements the proposed methodology and allows the loading of RINEX files and processing, analyzing, and visualizing total electron content data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
13
Issue :
2
Database :
Complementary Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
155713247
Full Text :
https://doi.org/10.3390/atmos13020183