Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Results in physics 2019-03, Vol.12, p.1004-1005
Main Authors: Syrovatskiy, Semen V., Yasyukevich, Yury V., Edemskiy, Ilya K., Vesnin, Artem M., Voeykov, Sergey V., Zhivetiev, Ilya V.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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%.
ISSN:2211-3797
2211-3797
DOI:10.1016/j.rinp.2018.12.069