@inproceedings{7458ccaa8c5c4ac99153b4f7ab67d883,
title = "Comparison of IRI-Plas STEC and IONOLAB-STEC over a midlatitude GPS network",
abstract = "Total Electron Content (TEC) is an important parameter of the ionosphere used to investigate and determine the ionospheric variability. Slant Total Electron Content (STEC) is the total number of electrons between the receiver-satellite link. International Ionosphere (IRI) Extended to Plasmasphere (IRI-Plas) is an internationally accepted climatic model for ionosphere and plasmasphere. In this study IONOLAB-STEC data set is estimated and IRI-Plas-STEC data set is computed for a midlatitude GPS network. To observe the relationship between GPS based STEC estimation and model based STEC computation Simetric Kullback Leibler (SKLD), Metric Distance (L2N) and Cross Correlation (CC) methods are applied to the STEC data for quiet and disturbed days of the ionosphere during 2011.",
keywords = "Global Positioning System (GPS), International Reference Ionosphere (IRI), Ionosphere, Slant Total Electron Content (STEC)",
author = "Yenen, \{Sinem Deniz\} and Feza Arikan and Tamara Gulyaeva",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International Conference on Recent Advances in Space Technologies, RAST 2019 ; Conference date: 11-06-2019 Through 14-06-2019",
year = "2019",
month = jun,
doi = "10.1109/RAST.2019.8767836",
language = "English",
series = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "649--653",
editor = "S. Menekay and O. Cetin and O. Alparslan",
booktitle = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",
address = "United States",
}