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Modelling extreme values of the total electron content: Case study of Serbia

Authorized Users Only
2018
Authors
Todorović-Drakul, Miljana
Samardžić-Petrović, Mileva
Grekulović, Sanja
Odalović, Oleg
Blagojević, Dragan
Article (Published version)
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Abstract
This paper is dedicated to modeling extreme TEC (Total Electron Content) values at the territory of Serbia. For the extreme TEC values, we consider the maximum values from the peak of the 11-year cycle of solar activity in the years 2013, 2014 and 2015 for the days of the winter and summer solstice and autumnal and vernal equinox. The average TEC values between 10 and 12 UT (Universal Time) were treated. As the basic data for all processing, we used GNSS (Global Navigation Satellite System) observation obtained by three permanent stations located in the territory of Serbia. Those data, we accept as actual, i. e. as a "true TEC values". The main objectives of this research were to examine the possibility to use two machine learning techniques: neural networks and support vector machine. In order to emphasize the quality of applied techniques, all results are adequately compared to the TEC values obtained by using International Reference Ionosphere global model. In addition, we separatel...y analyzed the quality of techniques throughout temporal and spatial-temporal approach.

Keywords:
TEC / machine learning / ionosphere / GNSS / IRI
Source:
Geofizika, 2018, 34, 2, 297-314
Publisher:
  • Geofizicki Zavod
Funding / projects:
  • Serbian geodetic infrastructure advancement for the needs of a modern state survey (RS-36020)
  • The application of GNSS and LIDAR technology for infrastructure facilities and terrain stability monitoring (RS-36009)

DOI: 10.15233/gfz.2017.34.12

ISSN: 0352-3659

WoS: 000425726300005

Scopus: 2-s2.0-85044933552
[ Google Scholar ]
URI
https://grafar.grf.bg.ac.rs/handle/123456789/955
Collections
  • Radovi istraživača / Researcher's publications
  • Катедра за геодезију и геоинформатику
Institution/Community
GraFar
TY  - JOUR
AU  - Todorović-Drakul, Miljana
AU  - Samardžić-Petrović, Mileva
AU  - Grekulović, Sanja
AU  - Odalović, Oleg
AU  - Blagojević, Dragan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/955
AB  - This paper is dedicated to modeling extreme TEC (Total Electron Content) values at the territory of Serbia. For the extreme TEC values, we consider the maximum values from the peak of the 11-year cycle of solar activity in the years 2013, 2014 and 2015 for the days of the winter and summer solstice and autumnal and vernal equinox. The average TEC values between 10 and 12 UT (Universal Time) were treated. As the basic data for all processing, we used GNSS (Global Navigation Satellite System) observation obtained by three permanent stations located in the territory of Serbia. Those data, we accept as actual, i. e. as a "true TEC values". The main objectives of this research were to examine the possibility to use two machine learning techniques: neural networks and support vector machine. In order to emphasize the quality of applied techniques, all results are adequately compared to the TEC values obtained by using International Reference Ionosphere global model. In addition, we separately analyzed the quality of techniques throughout temporal and spatial-temporal approach.
PB  - Geofizicki Zavod
T2  - Geofizika
T1  - Modelling extreme values of the total electron content: Case study of Serbia
EP  - 314
IS  - 2
SP  - 297
VL  - 34
DO  - 10.15233/gfz.2017.34.12
ER  - 
@article{
author = "Todorović-Drakul, Miljana and Samardžić-Petrović, Mileva and Grekulović, Sanja and Odalović, Oleg and Blagojević, Dragan",
year = "2018",
abstract = "This paper is dedicated to modeling extreme TEC (Total Electron Content) values at the territory of Serbia. For the extreme TEC values, we consider the maximum values from the peak of the 11-year cycle of solar activity in the years 2013, 2014 and 2015 for the days of the winter and summer solstice and autumnal and vernal equinox. The average TEC values between 10 and 12 UT (Universal Time) were treated. As the basic data for all processing, we used GNSS (Global Navigation Satellite System) observation obtained by three permanent stations located in the territory of Serbia. Those data, we accept as actual, i. e. as a "true TEC values". The main objectives of this research were to examine the possibility to use two machine learning techniques: neural networks and support vector machine. In order to emphasize the quality of applied techniques, all results are adequately compared to the TEC values obtained by using International Reference Ionosphere global model. In addition, we separately analyzed the quality of techniques throughout temporal and spatial-temporal approach.",
publisher = "Geofizicki Zavod",
journal = "Geofizika",
title = "Modelling extreme values of the total electron content: Case study of Serbia",
pages = "314-297",
number = "2",
volume = "34",
doi = "10.15233/gfz.2017.34.12"
}
Todorović-Drakul, M., Samardžić-Petrović, M., Grekulović, S., Odalović, O.,& Blagojević, D.. (2018). Modelling extreme values of the total electron content: Case study of Serbia. in Geofizika
Geofizicki Zavod., 34(2), 297-314.
https://doi.org/10.15233/gfz.2017.34.12
Todorović-Drakul M, Samardžić-Petrović M, Grekulović S, Odalović O, Blagojević D. Modelling extreme values of the total electron content: Case study of Serbia. in Geofizika. 2018;34(2):297-314.
doi:10.15233/gfz.2017.34.12 .
Todorović-Drakul, Miljana, Samardžić-Petrović, Mileva, Grekulović, Sanja, Odalović, Oleg, Blagojević, Dragan, "Modelling extreme values of the total electron content: Case study of Serbia" in Geofizika, 34, no. 2 (2018):297-314,
https://doi.org/10.15233/gfz.2017.34.12 . .

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