A combined analysis of geomagnetic data and cosmic ray secondaries for the September 2017 space weather event studies

Сидоров, Роман; Soloviev, Anatoly; Гвишиани, Алексей; Getmanov, V.B.; Obraztsov, A; Mandea, Mioara; Петрухин, А. А.; Yashin, I. I.

doi:10.2205/2019es000671

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…For analysis, a time interval was selected from 09/02/2017, 20:00 UTC to 09/18/2017, 15:00 UTC, with a total duration of 15.6 days. During this interval, the heliosphere was turbulent due to strong solar coronal mass ejections (CMEs) The CMEs that occurred on that period, caused intense geomagnetic storms that were discussed, for example, in [19,20]. The emerging CMEs caused modulations of muon fluxes recorded in MH and led to lower mathematical expectations (including the ones due to Forbush decreases) in Poisson MH data.…”

Section: Testing the Methods And The Quasi-gaussian Filter On Experimental Normalized Poisson Data From The Uragan Hodoscopementioning

confidence: 99%

Low-Pass Filtering Method for Poisson Data Time Series

et al. 2021

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Problems of digital processing of Poisson-distributed data time series from various counters of radiation particles, photons, slow neutrons etc. are relevant for experimental physics and measuring technology. A low-pass filtering method for normalized Poisson-distributed data time series is proposed. A digital quasi-Gaussian filter is designed, with a finite impulse response and non-negative weights. The quasi-Gaussian filter synthesis is implemented using the technology of stochastic global minimization and modification of the annealing simulation algorithm. The results of testing the filtering method and the quasi-Gaussian filter on model and experimental normalized Poisson data from the URAGAN muon hodoscope, that have confirmed their effectiveness, are presented.

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Section: Testing the Methods And The Quasi-gaussian Filter On Experimental Normalized Poisson Data From The Uragan Hodoscopementioning

confidence: 99%

Low-Pass Filtering Method for Poisson Data Time Series

et al. 2021

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Ionosphere delay remote sensing during geomagnetic storms over Egypt using GPS phase observations

Sedeek

2020

Arab J Geosci

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Validation of regional and global ionosphere maps from GNSS measurements versus IRI2016 during different magnetic activity

Sedeek

2022

Journal of Applied Geodesy

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This manuscript explores the divergence of the Vertical Total Electron Content (VTEC) estimated from Global Navigation Satellite System (GNSS) measurements using global, regional, and International Reference Ionosphere (IRI) models over low to high latitude regions during various magnetic activity. The VTEC is estimated using a territorial network consisting of 7 GNSS stations in Egypt and 10 GNSS stations from the International GNSS Service (IGS) Global network. The impact of magnetic activity on VTEC is investigated. Due to the deficiency of IGS receivers in north Africa and the shortage of GNSS measurements, an extra high interpolation is done to cover the deficit of data over North Africa. A MATLAB code was created to produce VTEC maps for Egypt utilizing a territorial network contrasted with global maps of VTEC, which are delivered by the Center for Orbit Determination in Europe (CODE). Thus we can have genuine VTEC maps estimated from actual GNSS measurements over any region of North Africa. A Spherical Harmonics Expansion (SHE) equation was modelled using MATLAB and called Local VTEC Model (LVTECM) to estimate VTEC values using observations of dual-frequency GNSS receivers. The VTEC calculated from GNSS measurement using LVTECM is compared with CODE VTEC results and IRI-2016 VTEC model results. The analysis of outcomes demonstrates a good convergence between VTEC from CODE and estimated from LVTECM. A strong correlation between LVTECM and CODE reaches about 96 % and 92 % in high and low magnetic activity, respectively. The most extreme contrasts are found to be 2.5 TECu and 1.3 TECu at high and low magnetic activity, respectively. The maximum discrepancies between LVTECM and IRI-2016 are 9.7 TECu and 2.3 TECu at a high and low magnetic activity. Variation in VTEC due to magnetic activity ranges from 1–5 TECu in moderate magnetic activity. The estimated VTEC from the regional network shows a 95 % correlation between the estimated VTEC from LVTECM and CODE with a maximum difference of 5.9 TECu.

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A combined analysis of geomagnetic data and cosmic ray secondaries for the September 2017 space weather event studies

Cited by 4 publications

References 19 publications

Low-Pass Filtering Method for Poisson Data Time Series

Low-Pass Filtering Method for Poisson Data Time Series

Ionosphere delay remote sensing during geomagnetic storms over Egypt using GPS phase observations

Validation of regional and global ionosphere maps from GNSS measurements versus IRI2016 during different magnetic activity

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