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)
Metadata
Show full item recordAbstract
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 / IRISource:
Geofizika, 2018, 34, 2, 297-314Publisher:
- 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
Institution/Community
GraFarTY - 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 . .