The possibility of estimating the height of the ionospheric inhomogeneities based on TEC variations maps obtained from dense GPS network

Nykiel, Grzegorz; Zanimonskiy, Y. M.; Koloskov, A. V.; Figurski, Mariusz

doi:10.1016/j.asr.2019.06.008

Cited by 3 publications

(2 citation statements)

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“…In order to determine the impact of TIDs on the position, we estimated vertical total electron content (VTEC) variations (∆VTEC) based on observations from 650 reference stations (Figure 2b; coordinates presented in Table A1 in the Appendix A). For each station-satellite pair, ∆VTEC time series were determined according to the methodology described by Nykiel et al [24,26]. The use of a dense network of receivers allowed us to obtain maps for individual satellites.…”

Section: Methodology and Datamentioning

confidence: 99%

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Degradation of Kinematic PPP of GNSS Stations in Central Europe Caused by Medium-Scale Traveling Ionospheric Disturbances During the St. Patrick’s Day 2015 Geomagnetic Storm

Poniatowski

Nykiel

2020

Remote Sensing

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In solar cycle 24, the strongest geomagnetic storm took place on March 17, 2015, when the geomagnetic activity index was as high as -223 nT. To verify the impact that the storm had on the Global Navigation Satellite System (GNSS)’s positioning accuracy and precision, we used 30-s observations from 15 reference stations located in Central Europe. For each of them, we applied kinematic precise point positioning (PPP) using gLAB software for the day of the storm and, for comparison, for a selected quiet day (13 March 2015). Based on the conducted analyses, we found out that the position root mean square (RMS) values on the day of the geomagnetic storm were significantly high and amounted to several dozen centimeters. The average RMS for the altitude coordinates was 0.58 m between 12:00 and 24:00 (GPS time), and 0.37 and 0.26 m for directions North and East, respectively. The compromised accuracy level was caused by a sudden decrease in the number of satellites used for calculations. This was due to a high number of cycle slips (CSs) detected during this period. The occurrence of these effects was strictly correlated with the appearance of traveling ionospheric disturbances (TIDs). This was proven by analyzing changes in the total electron content (TEC) estimated for each station–satellite pair.

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Section: Methodology and Datamentioning

confidence: 99%

“…Because GNSS signals are sensitive to an ionospheric state, they can be successfully used for the purpose of investigating it. The research concerns global and local TEC mapping [21,22], investigating TIDs [23,24], modeling vertical profiles [25], estimating the height of ionospheric disturbances [26], etc.…”

Section: Introductionmentioning

confidence: 99%