Yakutsk, Russian Federation
Yakutsk, Yakutsk, Russian Federation
Yakutsk, Russian Federation
Yakutsk, Russian Federation
SHICRA SB RAS, using data from the NMDB database, has implemented continuous monitoring of the dynamics of cosmic ray (CR) distribution parameters and the automatic forecasting of geomagnetic disturbance. Monitoring is based on the global survey method, which considers the world-wide network of neutron monitors as a single device oriented in different directions at each measured time. This method provides real-time parameters of nine components of the first two angular moments of the CR distribution function for each hour of observation. This paper discusses methodological aspects related to the use of the global survey method and some results of the forecasting of geomagnetic disturbances for 2017–2018.
cosmic rays, neutron monitor, global survey, geomagnetic storms, zonal components, predictors
1. Belov A.V., Bieber J.W., Eroshenko E.A., Evenson P. Pitch-angle features in cosmic rays in advance of severe magnetic storms: neutron monitor observations. Proc. 27th International Cosmic Ray Conference. Hamburg, 2001, vol. 9, pp. 3507–3510.
2. Dorman L.I., Belov A.V., Eroshenko E.A., Pustil’nik L.A., Sternlieb A., Yanke V.G., Zukerman I.G. Possible cosmic ray using for forecasting of major geomagnetic storms, accompanied by Forbush effects. Proc. 28th International Cosmic Ray Conference. Tsukuba, 2003, vol. 6, pp. 3553–3556.
3. Dvornikov V.M., Sdobnov V.E., Sergeev A.V. Method for prediction of sporadic geoeffective perturbations of solar wind: Patent RU 1769602 C. 1995.
4. Dvornikov V.M., Sergeev A.V., Sdobnov V.E. Abnormal variations of cosmic rays in rigidity range 2–5 GV and their relation ti heliospheric disturbances. Izvestiya Akademii Nauk SSSR. Seriya fizicheskaya [Bulletin of the Academy of Sciences of USSR: Physics]. 1988, vol. 52, no. 12, pp. 2435–2437. (In Russian).
5. Grigoryev V.G., Starodubtsev S.A. Global survey method in real time and space weather forecasting. Bulletin of the Russian Academy of Sciences: Physics. 2015, vol. 79, no. 5, pp. 649–653. DOI: 10.3103/S1062873815050226.
6. Grigoryev V.G., Starodubtsev S.A., Gololobov P.Y. Monitoring geomagnetic disturbance predictors using data of ground measurements of cosmic rays. Bulletin of the Russian Academy of Sciences: Physics. 2017, vol. 81, no. 2, pp. 200–202. DOI: 10.3103/S1062873817020198.
7. Grigoryev V.G., Starodubtsev S.A., Gololobov P.Yu. Monitoring of geomagnetic disturbances using the global survey method in real time. Solar-Terrestrial Physics. 2019, vol. 5, iss. 3, pp. 93–97. DOI: 10.12737/stp-53201911.
8. Grigoryev V.G., Starodutbsev S.A., Krivoshapkin P.A., Prihod’ko A.N., Egorov A.G., Turpanov A.A. Cosmic ray anisotropy according to Yakutsk station data in real time. Trudy Vserossiiskoi konferetsii “Eksperimental’nye i teoreticheskie issledovaniya osnov prognozirovaniya geliogeofizicheskoi aktivnosti” [Proceedings of All-Russian Conference “Experimental and Theoretical Investigation on the Basics of Forecasting of Heliogeophysical Activity”. October 10–15, 2005, Troitsk, IZMIRAN]. 2006, pp. 79–84. (In Russian).
9. Krymsky G.F., Kuzmin A.I., Krivoshapkin P.A., Samsonov I.S., Skripin G.V., Transky I.A., Chirkov N.P. Kosmicheskie luchi i solnechnyi veter [Cosmic Rays and Solar Wind]. Novosibirsk, Nauka Publ., 1981, 224 p. (In Russian).
10. Munakata K., Kuwabara T., Yasue S., Kato C., Akahane S., Koyama M. A ‘‘loss cone’’ precursor of an approaching shock observed by a cos-mic ray muon hodoscope on October 28, 2003. Geophys. Res. Lett. 2005, vol. 32, L03S04. DOI: 1029/2004GL021469.
11. Otnes R., Enochson L. Prikladnoi analiz vremennykh ryadov. Osnovnye metody [Applied analysis of time series. Basic methods]. Moscow, Mir Publ., 1982, 432 p. (In Russian). (English edition: Otnes R., Enochson L. Applied Time Series Analysis: Basic Techniques. Wiley, 1978, 449 p.)
12. Teilor Dzh. Vvedenie v teoriyu oshibok [Introduction to error analysis]. Moscow, Mir Publ., 1985, 272 p. (In Russian). (English edition: Taylor J. An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements. University Science Books, 1982, 270 p.)
13. URL: http://neutronm.bartol.udel.edu/spaceweathe (accessed June 15, 2020).
14. URL: http://www01.nmdb.eu (accessed June 15, 2020).
15. URL: http://www.ysn.ru/~starodub/SpaceWeather/global_survey_real_time.html (accessed June 15, 2020).
16. URL: http://wdc.kugi.kyoto-u.ac.jp (accessed June 15, 2020).
17. URL: http://ckp-rf.ru/usu/433536 (accessed June 15, 2020).