Can we detect X/M/C-class solar flares from global navigation satellite system data?
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 al...
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doaj-37e32196c801464282327b69a3f69e6e2020-11-24T22:19:29ZengElsevierResults in Physics2211-37972019-03-011210041005Can we detect X/M/C-class solar flares from global navigation satellite system data?Semen V. Syrovatskiy0Yury V. Yasyukevich1Ilya K. Edemskiy2Artem M. Vesnin3Sergey V. Voeykov4Ilya V. Zhivetiev5Institute of Solar-Terrestrial Physics SB RAS, Lermontov st., 126A, Irkutsk 664033, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Lermontov st., 126A, Irkutsk 664033, RussiaCorresponding author.; Institute of Solar-Terrestrial Physics SB RAS, Lermontov st., 126A, Irkutsk 664033, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Lermontov st., 126A, Irkutsk 664033, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Lermontov st., 126A, Irkutsk 664033, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Lermontov st., 126A, Irkutsk 664033, RussiaBased 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%. 2000 MSC: 86-05, Keywords: GNSS, Ionosphere, Solar flares, Detection, Total electron contenthttp://www.sciencedirect.com/science/article/pii/S2211379718323854 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Semen V. Syrovatskiy Yury V. Yasyukevich Ilya K. Edemskiy Artem M. Vesnin Sergey V. Voeykov Ilya V. Zhivetiev |
spellingShingle |
Semen V. Syrovatskiy Yury V. Yasyukevich Ilya K. Edemskiy Artem M. Vesnin Sergey V. Voeykov Ilya V. Zhivetiev Can we detect X/M/C-class solar flares from global navigation satellite system data? Results in Physics |
author_facet |
Semen V. Syrovatskiy Yury V. Yasyukevich Ilya K. Edemskiy Artem M. Vesnin Sergey V. Voeykov Ilya V. Zhivetiev |
author_sort |
Semen V. Syrovatskiy |
title |
Can we detect X/M/C-class solar flares from global navigation satellite system data? |
title_short |
Can we detect X/M/C-class solar flares from global navigation satellite system data? |
title_full |
Can we detect X/M/C-class solar flares from global navigation satellite system data? |
title_fullStr |
Can we detect X/M/C-class solar flares from global navigation satellite system data? |
title_full_unstemmed |
Can we detect X/M/C-class solar flares from global navigation satellite system data? |
title_sort |
can we detect x/m/c-class solar flares from global navigation satellite system data? |
publisher |
Elsevier |
series |
Results in Physics |
issn |
2211-3797 |
publishDate |
2019-03-01 |
description |
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%. 2000 MSC: 86-05, Keywords: GNSS, Ionosphere, Solar flares, Detection, Total electron content |
url |
http://www.sciencedirect.com/science/article/pii/S2211379718323854 |
work_keys_str_mv |
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