Space weather monitoring with a system of ground-based cosmic ray detectors

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For remote identification of the processes of powerful solar activity in the form of CME directed towards the Earth, a technique of flicker noise spectroscopy has been developed. The results of the analysis of geo-effective events (> G1) are presented according to the data of the international network of neutron monitors and the multidirectional muon hodoscope URAGAN, which indicate the appearance of predictors (with an outstrip of 1–2 days) of the CME approach to the Earthʼs orbit.

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Sobre autores

V. Borog

MEPhI (Moscow Engineering Physics Institute) National Research Nuclear University

Autor responsável pela correspondência
Email: vvborog@mephi.ru
Rússia, Moscow

A. Dmitrieva

MEPhI (Moscow Engineering Physics Institute) National Research Nuclear University

Email: vvborog@mephi.ru
Rússia, Moscow

Yu. Mishutina

MEPhI (Moscow Engineering Physics Institute) National Research Nuclear University

Email: vvborog@mephi.ru
Rússia, Moscow

Bibliografia

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  4. Слемзин В.А., Горяев Ф.Ф., Родькин Д.Г. и др. // Физика плазмы. 2019. Т. 45. № 10. С. 1; Slemzin V.A., Goryaev F.F., D.G. Rodkin D.G. et al. // Plasma Phys. Report. 2019. V. 83. P. 889.
  5. Астапов И.И., Ампилогов Н.В., Барбашина Н.С. и др. // Тр. XVI Всеросс. конф. по солнечн. физике (Санкт-Петербург, 2012). С. 423.
  6. Григорьев В.Г., Стародубцев С.А., Гололобов П.Ю. // Изв. РАН. Сер. физ. 2017. Т. 81. № 2. С. 219; Grigoryev V.G., Starodubtsev S.A., Gololobov P.Y. // Bull. Russ. Acad. Sci. Phys. 2017. V. 81. No. 2. P. 200.
  7. Яшин И.И., Астапов И.И., Барбашина Н.С. и др. // Изв. РАН. Сер. физ. 2019. Т. 83. № 5. С. 631; Yashin I.I., Astapov I.I., Barbashina N.S. et al. // Bull. Russ. Acad. Sci. Phys. 2019. V. 83. No. 5. P. 572.
  8. Тимашев С.Ф. Фликкер-шумовая спектроскопия: информация в хаотических сигналах. М.: Физматлит, 2007. 248 с.
  9. Борог В.В., Ампилогов Н.В., Дмитриева А.Н. и др. // Изв. РАН. Сер. физ. 2017. Т. 81. № 2. С. 216; Borog V.V., Ampilogov N.V., Dmitrieva A.N. et al. // Bull. Russ. Acad. Sci. Phys. 2017. V 81. No. 2. P. 197.
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  11. https://www.spaceweatherlive.com/en/auroral-activity/top-50-geomagnetic-storms.html.

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2. Fig. 1. Analysis of the event 14.06.2008. Total series of the nonstationarity factor C(t) for NMs of different continents (units): for European (LMKS, MOSC) (a), Asian (AATB, NANM) (b), American (MXCO, CALG) (c), sum for all NMs (d), Kp index values (e). Data (a, b, c) are shown for the 08-14 June interval as predictors. Data (d) correspond to the appearance of ‘spikes’ after the predictor (15-17 June) during the forebush effect. The abscissa axis is the time interval 08-18 June 2008

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3. Fig. 2. Analysis of the event 04.11.2021: the C(t) sum of seven NM series (CALM, JUNG1, LMKS, AATB, YKTK, MXCO, NEWK) (a), C(t) series for the sum and product of the three ‘ring’ series of the URAGAN yearscope (units) (b, c). Data (a, b, c) are shown for the interval 28 October - 03 November as predictors. Data (d, e, f) correspond to the appearance of ‘spikes’ after the 03-05 November predictor during the forebush effect. The abscissa axis is the time interval 28 October - 05 November 2021

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