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Sensors 2017, 17(10), 2298; https://doi.org/10.3390/s17102298

Efficient Usage of Dense GNSS Networks in Central Europe for the Visualization and Investigation of Ionospheric TEC Variations

1
Faculty of Civil and Environmental Engineering, Gdansk University of Technology, 80-233 Gdańsk, Poland
2
Institute of Radio Astronomy, National Academy of Sciences of Ukraine, 61002 Kharkiv, Ukraine
*
Author to whom correspondence should be addressed.
Received: 29 August 2017 / Revised: 28 September 2017 / Accepted: 2 October 2017 / Published: 10 October 2017
(This article belongs to the Section Remote Sensors)
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Abstract

The technique of the orthogonal projection of ionosphere electronic content variations for mapping total electron content (TEC) allows us to visualize ionospheric irregularities. For the reconstruction of global ionospheric characteristics, numerous global navigation satellite system (GNSS) receivers located in different regions of the Earth are used as sensors. We used dense GNSS networks in central Europe to detect and investigate a special type of plasma inhomogeneities, called travelling ionospheric disturbances (TID). Such use of GNSS sensors allows us to reconstruct the main TID parameters, such as spatial dimensions, velocities, and directions of their movement. The paper gives examples of the restoration of dynamic characteristics of ionospheric irregularities for quiet and disturbed geophysical conditions. Special attention is paid to the dynamics of ionospheric disturbances stimulated by the magnetic storms of two St. Patrick’s Days (17 March 2013 and 2015). Additional opportunities for the remote sensing of the ionosphere with the use of dense regional networks of GNSS receiving sensors have been noted too. View Full-Text
Keywords: ionospheric disturbances; GNSS; TEC variation maps; neutral wind; geomagnetic storm ionospheric disturbances; GNSS; TEC variation maps; neutral wind; geomagnetic storm
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Nykiel, G.; Zanimonskiy, Y.M.; Yampolski, Y.M.; Figurski, M. Efficient Usage of Dense GNSS Networks in Central Europe for the Visualization and Investigation of Ionospheric TEC Variations. Sensors 2017, 17, 2298.

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