scholarly journals Spatial distribution of total electron content in the Arctic region of Russia from GPS data

2015 ◽  
Vol 1 (4) ◽  
pp. 40-46
Author(s):  
Наталья Перевалова ◽  
Natalia Perevalova ◽  
Елена Романова ◽  
Elena Romanova ◽  
Дарья Каташевцева ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Total Electron Content ◽  
Arctic Region ◽  
The Arctic ◽  
Electron Content ◽  
Density Region ◽  
Total Electron ◽  
Double Frequency ◽  
Phase Data ◽  
The Arctic Region

Preliminary results of studying the spatial distribution of the total electron content (TEC) in the Arctic region of Russia are presented. The study is based on double frequency phase data obtained at four high-latitude GPS stations (LOVJ, Murmansk; NRIL, Norilsk; TIXI, Tiksi; BILB, Bilibino) on May 4–6, 2013 at 04:00–10:00 UT. On some receiver — GPS satellite rays northward of the stations, we have detected sharp TEC decreases or increases which argue for existence of a low electron density region (ionization trough) in the ionosphere. As found from the analysis of displacement of receiver– satellite rays, the ionization trough was located at latitudes of 72–84° N and longitudes of 0–200° E. The obtained results are consistent with numerical simulation data.

scholarly journals Dynamics of disturbance level of total electron content at high and middle latitudes according to GPS data

2016 ◽  
Vol 2 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Наталья Перевалова ◽  
Natalia Perevalova ◽  
Илья Едемский ◽  
Ilya Edemsky ◽  
Ольга Тимофеева ◽  
...  
Keyword(s):  
Total Electron Content ◽  
Large Scale ◽  
Arctic Region ◽  
The Arctic ◽  
Continuous Series ◽  
Electron Content ◽  
Ionospheric Disturbances ◽  
Minimum Level ◽  
Total Electron ◽  
The Arctic Region

We study the level of total electron content (TEC) disturbance in ionospheric mid-latitude and high-latitude regions during 2013. TEC behavior is calculated using data from two GPS stations: MOND (Mondy) and NRIL (Norilsk). TEC variations are calculated from two-frequency phase measurements for all radio rays. We analyze the TEC variations in two time ranges: 10 and 40 min. These ranges correspond to middle- and large-scale ionospheric disturbances respectively. The TEC disturbance level is characterized using the special index WTEC. WTEC allows us to receive multi-day continuous series of average TEC variation intensity. We reveal that at high latitudes WTEC variations agree well with AE ones. The correlation between WTEC and Dst variations is much less. The minimum level of TEC disturbance is independent of the season in the Arctic region; diurnal WTEC variations are more pronounced for medium-scale ionospheric disturbances than for large-scale ones. At mid-latitudes, the WTEC behavior agrees well with the Dst and Kp variations only during strong magnetic storms. The minimum level of TEC disturbance is higher in summer than in winter. At mid-latitudes, the sunset terminator generates gravitational waves. In the Arctic region, terminator-generated waves are not observed.

scholarly journals Dynamics of the level of total electron content disturbance at high and middle latitudes according to GPS data

2016 ◽  
Vol 2 (1) ◽  
pp. 50-60
Author(s):  
Наталья Перевалова ◽  
Natalia Perevalova ◽  
Илья Едемский ◽  
Ilya Edemsky ◽  
Ольга Тимофеева ◽  
...  
Keyword(s):  
Total Electron Content ◽  
Large Scale ◽  
Arctic Region ◽  
The Arctic ◽  
Electron Content ◽  
Ionospheric Disturbances ◽  
Minimum Level ◽  
Total Electron ◽  
Middle Latitudes ◽  
The Arctic Region

We study the level of total electron content (TEC) disturbance in ionospheric mid-latitude and high-latitude regions, which occurred during 2013. TEC behavior is calculated using data from two GPS stations: MOND (Mondy) and NRIL (Norilsk). TEC variations are estimated from dual-frequency phase measurements for all radio signal paths. We analyze the TEC variations in two time ranges: 10 and 40 min. These ranges correspond to medium- and large-scale ionospheric disturbances respectively. The TEC disturbance level is characterized using a special index WTEC. It allows us to receive multi-day continuous series of average TEC variation intensity. We reveal that at high latitudes WTEC variations correlate well with AE ones. The correlation between WTEC and Dst variations is much lower. The minimum level of TEC disturbance is independent of the season in the Arctic region; diurnal WTEC variations are more pronounced for medium-scale ionospheric disturbances than for large-scale ones. At mid-latitudes, the WTEC variation concurs with Dst and Kp variations only during strong magnetic storms. The minimum level of TEC disturbance is higher in summer than in winter. At middle latitudes, the sunset terminator generates gravity waves. In the Arctic region, terminator-induced waves are not observed.

scholarly journals Using network technology for studying the ionosphere

2015 ◽  
Vol 1 (3) ◽  
pp. 21-27
Author(s):  
Юрий Ясюкевич ◽  
Yury Yasyukevich ◽  
Илья Живетьев ◽  
Ilya Zhivetiev
Keyword(s):  
Southern Hemisphere ◽  
Cross Correlation ◽  
Arctic Region ◽  
The Arctic ◽  
Electron Content ◽  
Strongly Correlated ◽  
Total Electron ◽  
Similar Region ◽  
The Arctic Region ◽  
Ionospheric Dynamics

One of the key problems of ionosphere physics is the coupling between different ionospheric regions. We apply networks technology for studying the coupling of changing ionospheric dynamics in different regions. We used data from global ionosphere maps (GIM) of total electron content (TEC) produced by CODE for 2005–2010. Distribution of cross-correlation function maxima of TEC variations is not simple. This distribution allows us to reveal two levels of ionosphere coupling: «strong» (r>0.9) and «weak» (r>0.72). The ionosphere of the Arctic region upper 50° magnetic latitude is characterized by a «strong» coupling. In the Southern hemisphere, a similar region is bigger. «Weak» coupling is typical for the whole Southern hemisphere. In North America there is an area where TEC dynamics is «strongly» correlated inside and is not correlated with other ionospheric regions.

scholarly journals Methods of detection of changes in the distribution of observed statistics of time derivatives of the total electron content because of cycle slips in navigation satellite’s signals

2019 ◽  
Vol 30 ◽  
pp. 15007
Author(s):  
George Minasyan ◽  
Ivan Nesterov ◽  
Yaroslav Ilyushin
Keyword(s):  
Total Electron Content ◽  
Satellite System ◽  
Electron Content ◽  
Total Electron ◽  
Cycle Slips ◽  
Phase Data ◽  
Total Electronic Content ◽  
Global Navigation Satellite ◽  
Electronic Content ◽  
Derivatives Of

Based on the analysis of the phase data of the global navigation satellite system, distributions of time derivatives of the L1 phase frequency and the total electronic content are obtained. The change in the distributions of observed statistics of time derivatives of the total electron content was analyzed, because there are cycle slips in signals of navigation satellites. According to the analysis of the statistics of the phase of signals, an assumption about the physical and technical reasons for phase failures was made. The correlation between time derivatives of the phase signals and the total electron content has been obtained, despite the apparent dependence of the latter on the phase of the signal. This ratio showed that neither direct nor inverse dependence of the change in the distribution of time derivatives in both of quantities was found.

scholarly journals Global Ionospheric Model Accuracy Analysis Using Shipborne Kinematic GPS Data in the Arctic Circle

2019 ◽  
Vol 11 (17) ◽  
pp. 2062
Author(s):  
Di Wang ◽  
Xiaowen Luo ◽  
Jinling Wang ◽  
Jinyao Gao ◽  
Tao Zhang ◽  
...  
Keyword(s):  
Total Electron Content ◽  
Satellite System ◽  
The Arctic ◽  
Electron Content ◽  
Ionospheric Model ◽  
International Gnss Service ◽  
Total Electron ◽  
Arctic Circle ◽  
Analysis And Evaluation ◽  
Ionospheric Models

The global ionospheric model built by the International Global Navigation Satellite System (GNSS) Service (IGS) using GNSS reference stations all over the world is currently the most widely used ionospheric product on a global scale. Therefore, analysis and evaluation of this ionospheric product’s accuracy and reliability are essential for the practical use of the product. In contrast to the traditional way of assessing global ionospheric models with ground-based static measurements, our study used shipborne kinematic global positioning system (GPS) measurements collected over 18 days to perform a preliminary analysis and evaluation of the accuracy of the global ionospheric models; our study took place in the Arctic Circle. The data from the International GNSS Service stations near the Arctic Circle were used to verify the ionospheric total electron contents derived from the kinematic data. The results suggested that the global ionospheric model had an approximate regional accuracy of 12 total electron content units (TECu) within the Arctic Circle and deviated from the actual ionospheric total electron content value by about 4 TECu.

scholarly journals A New Method to Determine the Optimal Thin Layer Ionospheric Height and its Application in the Polar Regions

2021 ◽  
Vol 13 (13) ◽  
pp. 2458
Author(s):  
Hu Jiang ◽  
Shuanggen Jin ◽  
Manuel Hernández-Pajares ◽  
Hui Xi ◽  
Jiachun An ◽  
...  
Keyword(s):  
Thin Layer ◽  
Correlation Coefficient ◽  
Total Electron Content ◽  
Mapping Function ◽  
The Arctic ◽  
Electron Content ◽  
Polar Regions ◽  
Total Electron ◽  
Ionospheric Height ◽  
The Antarctic

The conversion between the line-of-sight slant total electron content (STEC) and the vertical total electron content (VTEC) depends on the mapping function (MF) under the widely used thin layer ionospheric model. The thin layer ionospheric height (TLIH) is an essential parameter of the MF, which affects the accuracy of the conversion between the STEC and VTEC. Due to the influence of temporal and spatial variations of the ionosphere, the optimal TLIH is not constant over the globe, particularly in the polar regions. In this paper, a new method for determining the optimal TLIH is proposed, which compares the mapping function values (MFVs) from the MF at different given TLIHs with the “truth” mapping values from the UQRG global ionospheric maps (GIMs) and the differential TEC (dSTEC) method, namely the dSTEC- and GIM-based thin layer ionospheric height (dG-TLIH) techniques. The optimal TLIH is determined using the dG-TLIH method based on GNSS data over the Antarctic and Arctic. Furthermore, we analyze the relationship between the optimal TLIH derived from the dG-TLIH method and the height of maximum density of the F2 layer (hmF2) based on COSMIC data in the polar regions. According to the dG-TLIH method, the optimal TLIH is mainly distributed between 370 and 500 km over the Arctic and between 400 and 500 km over the Antarctic in a solar cycle. In the Arctic, the correlation coefficient between the hmF2 and optimal TLIH is 0.7, and the deviation between them is 162 km. Meanwhile, in the Antarctic, the correlation coefficient is 0.60, with a phase lag of ~3 months, with the hmF2 leading the optimal TLIH, and the deviation between them is 177 km.

scholarly journals Spatial and Temporal Variations of Polar Ionospheric Total Electron Content over Nearly Thirteen Years

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 540 ◽  
Author(s):  
Hui Xi ◽  
Hu Jiang ◽  
Jiachun An ◽  
Zemin Wang ◽  
Xueyong Xu ◽  
...  
Keyword(s):  
Solar Activity ◽  
Total Electron Content ◽  
Geomagnetic Storms ◽  
Weddell Sea ◽  
The Arctic ◽  
Electron Content ◽  
Spherical Cap ◽  
Total Electron ◽  
Ionospheric Total Electron Content ◽  
The Antarctic

It is of great significance for the global navigation satellite system (GNSS) service to detect the polar ionospheric total electron content (TEC) and its variations, particularly under disturbed ionosphere conditions, including different phases of solar activity, the polar day and night alternation, the Weddell Sea anomaly (WSA) as well as geomagnetic storms. In this paper, four different models are utilized to map the ionospheric TEC over the Arctic and Antarctic for about one solar cycle: the polynomial (POLY) model, the generalized trigonometric series function (GTSF) model, the spherical harmonic (SH) model, and the spherical cap harmonic (SCH) model. Compared to other models, the SCH model has the best performance with ±0.8 TECU of residual mean value and 1.5–3.5 TECU of root mean square error. The spatiotemporal distributions and variations of the polar ionospheric TEC are investigated and compared under different ionosphere conditions in the Arctic and Antarctic. The results show that the solar activity significantly affects the TEC variations. During polar days, the ionospheric TEC is more active than it is during polar nights. In polar days over the Antarctic, the maximum value of TEC always appears at night in the Antarctic Peninsula and Weddell Sea area affected by the WSA. In the same year, the ionospheric TEC of the Antarctic has a larger amplitude of annual variation than that of the TEC in the Arctic. In addition, the evolution of the ionization patch during a geomagnetic storm over the Antarctic can be clearly tracked employing the SCH model, which appears to be adequate for mapping the polar TEC, and provides a sound basis for further automatic identification of ionization patches.

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