@article{syrovatskiy_can_2019,
	title = {Can we detect X/M/C-class solar flares from global navigation satellite system data?},
	volume = {12},
	issn = {2211-3797},
	url = {http://www.sciencedirect.com/science/article/pii/S2211379718323854},
	doi = {10.1016/j.rinp.2018.12.069},
	abstract = {Based on the total electron content ({TEC}) data from global navigation satellite system ({GNSS}), we analyzed 224 classified solar flares ({SFs}) occurred in 2014–2017. We suggest an algorithm for {SF} automatic detection. The algorithm is based on analysis of {GNSS}-{TEC} variation derivative averaged over all the sunlit ionospheric pierce points. The algorithm enabled to confidently detect all X-class {SFs}, 81\% events, when the X-ray peak was within 10–100 μW/m2, and 32\%, when the X-ray peak was within 1–10 μW/m2. The false positive error was 25\%.},
	pages = {1004--1005},
	journaltitle = {Results in Physics},
	shortjournal = {Results in Physics},
	author = {Syrovatskiy, Semen V. and Yasyukevich, Yury V. and Edemskiy, Ilya K. and Vesnin, Artem M. and Voeykov, Sergey V. and Zhivetiev, Ilya V.},
	urldate = {2019-12-09},
	date = {2019-03-01},
	langid = {english},
	keywords = {Ionosphere, Total electron content, Detection, {GNSS}, Solar flares}
}

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