Observing ionosphere over Turkey using Correlation Coefficient for slant total electron content

Author(s):  
Seymur Shukurov ◽  
Feza Arikan ◽  
Tamara Gulyaeva
Space Weather ◽  
2014 ◽  
Vol 12 (1) ◽  
pp. 64-75 ◽  
Author(s):  
Hakan Tuna ◽  
Orhan Arikan ◽  
Feza Arikan ◽  
Tamara L. Gulyaeva ◽  
Umut Sezen

2016 ◽  
Vol 7 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Feza Arikan ◽  
Seymur Shukurov ◽  
Hakan Tuna ◽  
Orhan Arikan ◽  
T.L. Gulyaeva

2006 ◽  
Vol 81 (2) ◽  
pp. 111-120 ◽  
Author(s):  
L. Ciraolo ◽  
F. Azpilicueta ◽  
C. Brunini ◽  
A. Meza ◽  
S. M. Radicella

2021 ◽  
Vol 13 (13) ◽  
pp. 2458
Author(s):  
Hu Jiang ◽  
Shuanggen Jin ◽  
Manuel Hernández-Pajares ◽  
Hui Xi ◽  
Jiachun An ◽  
...  

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.


2009 ◽  
Vol 49 (4-5) ◽  
Author(s):  
M. A. Cabrera ◽  
R. G. Ezquer ◽  
P. Spalla

2021 ◽  
Vol 44 ◽  
pp. 130-132
Author(s):  
A.V. Timchenko ◽  
◽  
F.S. Bessarab ◽  
A.V. Radievsky ◽  
◽  
...  

The paper presents the results of studies of the seasonal variability of statistical relationships between Magnetoconjugated Points (MCP) of the ionosphere. The analysis is based on the calculation of the correlation coefficients between the variations in the Total Electron Content (TEC) at points located on the same field line of the dipole magnetic field on both sides of the geomagnetic equator. Global TEC maps were used as initial data. For the four seasons of 2009 and 2015, the values of the Pearson’s correlation coefficient between the variations in the Total Electron Content in the MCP were calculated. For two levels of solar activity, we examined the seasonal features of statistical relationships between TEC variations at points located on the same field line of the dipole magnetic field on both sides of the geomagnetic equator. Pearson's correlation coefficient was calculated for the mean daily TEC variations. It was shown in the work that during the period of low solar activity, the correlation between the TEC variations in the MCP regions is weak or absent, except for autumn. In 2015, a significant correlation between magnetoconjugated regions is observed during all seasons, while in winter and summer they are localized at low latitudes and in spring and autumn at high and middle latitudes.


GPS Solutions ◽  
2018 ◽  
Vol 22 (3) ◽  
Author(s):  
Wenfeng Nie ◽  
Tianhe Xu ◽  
Adria Rovira-Garcia ◽  
José Miguel Juan Zornoza ◽  
Jaume Sanz Subirana ◽  
...  

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