УДК 550.385

FLUXES OF 40–500 KEV ELECTRONS AT THE GEOSTATIONARY ORBIT WITHOUT STRONG GEOMAGNETIC DISTURBANCES, AND INTERPLANETARY MEDIUM PARAMETERS Fluxes of 40–500 keV electrons at the geostationary orbit without strong geomagnetic disturbances, and interplanetary medium parameters

Опубликовано в Solar-Terrestrial Physics · Том 12, Номер 3 · Страницы 16–29 · Рубрика: Results of current research
DOI: https://doi.org/10.12737/stp-123202602 · EDN: PPVODN
Получено: 19.10.2025 Одобрено: 20.02.2026 Опубликовано: 19.09.2026 Язык публикаций: ENG
The study is focused on 40–500 keV electron flux enhancements at the geostationary orbit, which occur without strong geomagnetic disturbances. We use data on the differential-energy electron flux recorded by the magnetospheric satellite GOES-15. Electron flux enhancements occurring without magnetic storms and strong substorms are selected for analysis. The superposed epoch method is employed to examine interplanetary medium and solar wind parameters during the enhancement intervals, as well as during the preceding several hours, which are compared with intervals lacking enhancements but exhibiting similar geomagnetic and auroral activity indices. We also compare the energy spectra of electrons averaged over the selected event groups. We demonstrate that differences in solar wind speed are observed for at least 6 hours prior to the onset of enhancements, and the immediate precursor to the enhancement emerging 1–2 hours before a selected flux local maximum is a rise in solar wind dynamic pressure.
sub-relativistic electrons, space weather, magnetosphere
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The work was performed under Government Assignment at IPE RAS
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1. Akasofu S.I. Energy coupling between the solar wind and the magnetosphere. Space Sci. Rev. 1981, vol. 28, pp. 121–190. https://doi.org/10.1007/BF00218810.

2. Artemyev A.V., Zhang X.-J., Zou Y., et al. On the nature of intense sub-relativistic electron precipitation. J. Geophys. Res.: Space Phys. 2022, vol. 127, e2022JA030571. https://doi.org/10.1029/2022JA030571.

3. Baker D.N. The occurrence of operational anomalies in spacecraft and their relationship to space weather. IEEE Trans. Plasma Sci. 2000, vol. 28, pp. 2007–2016. https://doi.org/10.1109/27.902228.

4. Belakhovsky V., Pilipenko V., Mioshi E. Contribution of ULF and VLF wave disturbances to the growth of relativistic electron fluxes. Proc. XLIII Annual Seminar “Physics of Auroral Phenomena”. Apatity, 2020, pp. 43–46. https://doi.org/10.37614/2588-0039.2020.43.010.

5. Bergin A., Chapman S., Gjerloev J. AE, Dst, and their SuperMAG counterparts: The effect of improved spatial resolution in geomagnetic indices. J. Geophys. Res.: Space Phys. 2019, vol. 125, e2020JA027828. https://doi.org/10.1029/2020JA027828.

6. Boteler D.H. A 21st century view of the March 1989 magnetic storm. Space Weather. 2019, vol. 17, pp. 1427–1441. https://doi.org/10.1029/2019SW002278.

7. Boteler D.H., Pirjola R.J., Nevanlinna H. The effects of geomagnetic disturbances on electrical systems at the Earth’s surface. Adv. Space Res. 1998, vol. 22, pp. 17–27. https://doi.org/10.1016/S0273-1177(97)01096-X.

8. Boyd A.J., Spence H.E., Huang C.-L., et al. Statistical properties of the radiation belt seed population. J. Geophys. Res.: Space Phys. 2016, vol. 121, pp. 7636–7646. https://doi.org/10.1002/2016JA022652.

9. Christodoulou E., Katsavrias C., Kordakis P., Daglis I.A. Influence of solar wind driving and geomagnetic activity on the variability of sub-relativistic electrons in the inner magnetosphere. Universe. 2025, vol. 11, 101. https://doi.org/10.3390/universe11030101.

10. Degtyarev V.I., Chudnenko S.E., Kharchenko I.P., et al. Forecast of maximum daily means of relativistic electron fluxes at the geostationary orbit during the magnetic storm recovery phase. Sol.-Terr. Phys. 2009, iss. 13 (126), pp. 34–42.

11. Engebretson M.J., Glassmeier K.H., Stellmacher M., Hughes W.J. The dependence of high-latitude Pc5 wave power on solar wind velocity and on the phase of high-speed solar wind streams. J. Geophys. Res.: Space Phys. 1998, vol. 103, pp. 26271–26283. https://doi.org/10.1029/97JA03143.

12. Ganushkina N.Y., Swiger B., Dubyagin S., et al. Worst-case severe environments for surface charging observed at LANL satellites as dependent on solar wind and geomagnetic conditions. Space Weather. 2021, vol. 19, e2021SW002732. https://doi.org/10.1029/2021SW002732.

13. Garrett H.B, Whittlesey A.C. Spacecraft charging, an update. IEEE Trans. Plasma Sci. 2000, vol. 28, pp. 2017–2028.

14. Gussenhoven M.S., Mullen E.G., Filz R.C., et al. New low-altitude dose measurements. IEEE Trans. Nucl. Sci. 1987, vol. 34, pp. 676–683. https://doi.org/10.1109/TNS.1987.4334701.

15. Jaynes A.N., Baker D.N., Singer H.J., et al. Source and seed populations for relativistic electrons: Their roles in radiation belt changes. J. Geophys. Res.: Space Phys. 2015, vol. 120, pp. 7240–7254. https://doi.org/10.1002/2015JA021234.

16. Katsavrias Ch., Aminalragia-Giamini S., Papadimitriou C., et al. On the interplanetary parameter schemes which drive the variability of the source/seed electron population at GEO. J. Geophys. Res.: Space Phys. 2021, vol. 126, e2020JA028939. https://doi.org/10.1002/essoar.10504803.1.

17. Klimushkin D.Yu., Mager P.N., Chelpanov M.A., Kostarev D.V. Interaction between long-period ULF waves and charged particles in the magnetosphere: theory and observations (review). Sol.-Terr. Phys. 2021, vol. 7, iss. 4, pp. 33–66. https://doi.org/10.12737/stp-74202105.

18. Li X., Baker D.N., Temerin M., et al. Energetic electrons, 50 keV to 6 MeV, at geosynchronous orbit: Their responses to solar wind variations. Space Weather. 2005, vol. 3, S04001. https://doi.org/10.1029/2004SW000105.

19. Lyons L.R. A new theory for magnetospheric substorms. J. Geophys. Res.: Space Phys. 1995, vol. 100, pp. 19069–19081. https://doi.org/10.1029/95JA01344.

20. Mauk B., Fox N., Kanekal S., et al. Science Objectives and Rationale for the Radiation Belt Storm Probes Mission. Space Sci. Rev. 2012, vol. 179. https://doi.org/10.1007/s11214-012-9908-y.

21. Murzin V. Astrophysics of Cosmic Rays: A University Textbook. Moscow: Universitetskaya Kniga; Logos, 2007, p. 488. (In Russian).

22. Myagkova I., Panasyuk M., Svertilov S., et al. Electron flux variations at altitudes of 600–800 km in the second half of 2014. Preliminary results of an experiment using RELEC equipment onboard the satellite Vernov. Kosmicheskie issledovaniya [Cosmic Research], 2016, vol. 54, no. 1, pp. 67–75. (In Russian). https://doi.org/10.7868/S0023420616010131.

23. Myagkova I.N., Shugai Yu.S., Kalegaev V.V., et al. Medium-term prediction of relativistic electron fluxes on a geostationary orbit via machine learning based on observation data on coronal holes. Geomagnetism and Aeronomy, 2020, iss. 3, pp. 293–304. https://doi.org/10.1134/S0016793220030123.

24. Myagkova I.N., Bogomolov A.V., Eremeev V.E., et al. Dynamics of the radiation environment in the near-Earth Space in September–November 2020 according to the Meteor-M and Electro-L satellite data, Cosmic Research, 2021a, vol. 59, iss. 6, pp. 433–445. https://doi.org/10.1134/S001095252106007.

25. Myagkova I.N., Shirokii V.R., Shugau Yu.S., et al. Shortland and medium-range prediction of relativistic electron flux in the Earth’s outer radiation belt by machine learning methods, Meteorologiya i Gidrologiya (Meteorology and Hydrology). 2021b, iss. 3, pp. 47–57. (In Russian). https://doi.org/10.52002/0130-2906-2021-3-47-57.

26. Panasyuk M.I., Svertilov S.I., Bogomolov V.V., et al. Experiment on the Vernov satellite: Transient energetic processes in the Earth’s atmosphere and magnetosphere Part I: Description of the experiment, Cosmic Research . 2016, vol. 54, iss. 4, pp. 261–269. https://doi.org/10.1134/S0010952516040043.

27. Pilipenko V.A. Space weather impact on ground-based technological systems. Sol.-Terr. Phys. 2021, vol. 7, iss. 3, pp. 68–104. https://doi.org/10.12737/stp-73202106.

28. Pilipenko V., Yagova N., Romanova N., Allen J. Statistical relationships between the satellite anomalies at geostationary orbits and high-energy particles. Adv. Space Res. 2006, vol. 37, pp. 1192–1205. https://doi.org/10.1016/j.asr.2005.03.152.

29. Pilipenko V.A., Kozyreva O.V., Belakhovsky V.B., et al. What should we know to predict geomagnetically induced currents in power transmission lines? Russian J. Earth Sciences. 2024, vol. 24, pp. 1–15. https://doi.org/10.2205/2024ES000954.

30. Potapov A.S. Relativistic electrons of the outer radiation belt and methods of their forecast (review), Sol.-Terr. Phys. 2017, vol. 3, iss. 1, pp. 57–72. https://doi.org/10.12737/article_58f9703837c248.84596315.

31. Potapov A.S., Ryzhakova L.V., Tsegmed B. A new approach to predict and estimate enhancements of “killer” electron flux at geosynchronous orbit. Acta Astronautica. 2016, vol. 126, pp. 47–51. https://doi.org/10.1016/j.actaastro.2016.04.017.

32. Reeves G.D., McAdams K.L., Friedel R.H.W., O'Brien T.P. Acceleration and loss of relativistic electrons during geomagnetic storms. Geophys. Res. Lett. 2003, vol. 30, 1529. https://doi.org/10.1029/2002GL016513.

33. Reeves G.D., Friedel R.H.W., Larsen B.A., et al. Energy-dependent dynamics of keV to MeV electrons in the inner zone, outer zone, and slot regions. J. Geophys. Res.: Space Phys. 2016, vol. 121, pp. 397–412. https://doi.org/10.1002/2015JA021569.

34. Sakaguchi K., Nagatsuma T., Reeves G.D., Spence H.E. Prediction of MeV electron fluxes throughout the outer radiation belt using multivariate autoregressive models. Space Weather. 2015, vol. 13, pp. 853–867. https://doi.org/10.1002/2015SW001254.

35. Shi Y., Zesta E., Lyons L.R. Features of energetic particle radial profiles inferred from geosynchronous responses to solar wind dynamic pressure enhancements. Ann. Geophys. 2009, vol. 27, pp. 851–859. https://doi.org/10.5194/angeo-27-851-2009.

36. Sillanpää I., Ganushkina N.Y., Dubyagin S., Rodriguez J.V. Electron fluxes at geostationary orbit from GOES MAGED data. Space Weather. 2017, vol. 15, pp. 1602–1614. https://doi.org/10.1002/2017SW001698.

37. Simms L.E., Engebretson M. Classifier neural network models predict relativistic electron events at geosynchronous orbit better than multiple regression or ARMAX models. J. Geophys. Res.: Space Phys. 2020, vol. 125, e2019JA027357. https://doi.org/10.1029/2019JA027357.

38. Simms L.E., Engebretson M., Clilverd M., et al. A distributed lag autoregressive model of geostationary relativistic electron fluxes: Comparing the influences of waves, seed and source electrons, and solar wind inputs. J. Geophys. Res.: Space Phys. 2018, vol. 123, pp. 3646–3671. https://doi.org/10.1029/2017JA025002.

39. Simms L.E., Engebretson M., Reeves G. Removing diurnal signals and longer term trends from electron flux and ULF correlations: A comparison of spectral subtraction, simple differencing, and ARIMAX models. J. Geophys. Res.: Space Phys. 2022a, vol. 127, e2021JA030021. https://doi.org/10.1029/2021JA030021.

40. Simms L.E., Ganushkina N.Yu., van de Kamp M. et al. Using ARMAX models to determine the drivers of 40–150 keV GOES electron fluxes. J. Geophys. Res.: Space Phys. 2022b, vol. 127, e2022JA030538. https://doi.org/10.1029/2022JA030538.

41. Simms L.E., Engebretson M.J., Reeves G.D. Determining the timing of driver influences on 1.8–3.5 MeV electron flux at geosynchronous orbit using ARMAX methodology and stepwise regression. J. Geophys. Res.: Space Phys. 2023, vol. 128, e2022JA030963. https://doi.org/10.1029/2022JA030963.

42. Simms L.E., Ganushkina N.Y., Dubyagin S. Comparing influences of solar wind, ULF waves, and substorms on 20 eV – 2 MeV electron flux (RBSP) using ARMAX models. J. Geophys. Res.: Space Phys. 2024, vol. 129, e2024JA032458. https://doi.org/10.1029/2024JA032458.

43. Thomsen M.F., Henderson M.G., Jordanova V.K. Statistical properties of the surface-charging environment at geosynchronous orbit. Space Weather. 2013, vol. 11, pp. 237–244. https://doi.org/10.1002/swe.20049.

44. Vokhmyanin M., Asikainen T., Salminen A., Mursula K. Long-term prediction of sudden stratospheric warmings with geomagnetic and solar activity. J. Geophys. Res.: Atmospheres. 2023, vol. 128, e2022JD037337. https://doi.org/10.1029/2022JD037337.

45. Wang J., Xiang Z., Ni B., et al. Influences of solar wind parameters on energetic electron fluxes at geosynchronous orbit revealed by the Deep SHAP method. Space Weather. 2024, vol. 22, e2024SW003880. https://doi.org/10.1029/2024SW003880

46. Yedidia B.A., Vellante M., Villante U., Lazarus A.J. A study of the relationship between micropulsations and solar wind properties. J. Geophys. Res.: Space Phys. 1991, vol. 96, pp. 3465–3470. https://doi.org/10.1029/90JA01992.

47. Zhang H.X., Lu J.Y., Wang M. Energy transfer across magnetopause under dawn–dusk IMFs.Sci Rep. 2023, vol. 13, pp. 7409. https://doi.org/10.1038/s41598-023-34082-2

48. URL: https://cdaweb.gsfc.nasa.gov/ (accessed October 10, 2025).

49. URL: https://wdc.kugi.kyoto-u.ac.jp/wdc/Sec3.html (accessed October 7, 2025).

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