2020
DOI: 10.1029/2020sw002441
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Real‐Time Detection, Location, and Measurement of Geoeffective Stellar Flares From Global Navigation Satellite System Data: New Technique and Case Studies

Abstract: An alternative approach to detect solar flares and quantify the associated extreme ultraviolet (EUV) solar flux rate was introduced in this journal by the authors: Global Navigation Satellite Systems Solar FLAre Indicator (GSFLAI) was founded on the dependence of the sudden electron content increase of the Earth ionosphere versus the angle regarding the flare source, the Sun, given by a simple but accurate first‐principles‐based model. Such overionization is directly measured from the dual‐frequency phase meas… Show more

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Cited by 6 publications
(3 citation statements)
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“…(EX)SOLERAdrift-search has estimated the probable GNSS detection of the ionosphere footprint for the first naked-eye detected superflare of Proxima Cen, during day 78, 2016, previously reported in [2]. This result, among other astronomical events recently studied, paves the way for focusing the enhanced GNSS Ionosphere Astronomical Sensor (GIAS) towards other EUV-(also X-ray and γ-ray bands) detectable extrasolar phenomena.…”
mentioning
confidence: 86%
“…(EX)SOLERAdrift-search has estimated the probable GNSS detection of the ionosphere footprint for the first naked-eye detected superflare of Proxima Cen, during day 78, 2016, previously reported in [2]. This result, among other astronomical events recently studied, paves the way for focusing the enhanced GNSS Ionosphere Astronomical Sensor (GIAS) towards other EUV-(also X-ray and γ-ray bands) detectable extrasolar phenomena.…”
mentioning
confidence: 86%
“…Travelling into space, Pajares and Moreno (2020) build on their indicator Global Navigation Satellite Systems Solar FLAre (GSFLAI) to detect solar flares and quantify the associated extreme ultraviolet (EUV) solar flux rate based on over-ionization, measured from hundreds of IGS dualfrequency receivers. A generalisation of GSFLAI is presented for the much weaker stellar superflares.…”
Section: Gnss Science Opportunitiesmentioning
confidence: 99%
“…To develop the proposed tasks, it is essential to have a good localisation. Conventional methods use GPS [19,20], inertial sensors [21][22][23][24], cameras [25][26][27][28], odometry [29,30], lidars [31][32][33][34][35], kinect [36,37], or combined systems [36,38,39]. Other specific sensors highly used in agriculture are multi-spectral ones, although their application focuses more on the recognition and vegetative analysis than on the location within an environment [40][41][42].…”
Section: Introductionmentioning
confidence: 99%