Cosmic ResearchCosmic ResearchКосмические исследования0023-42063034-5502The Russian Academy of Sciences67238610.31857/S0023420624030019JKPVMJArticlesСтатьиResearch ArticleМодель потоков высокоэнергичных электронов на орбитах ГЛОНАССМодель потоков высокоэнергичных электронов на орбитах ГЛОНАССШустовП. И.
Russian Federation
p.shustov@gmail.comПетруковичА. А.
Russian Federation
p.shustov@gmail.comАртемьевА. В.
Russian Federation
p.shustov@gmail.comИнститут космических исследований РАН2911202462323924827022025Copyright ©; 2024, Russian Academy of SciencesCopyright ©; 2024, Российская академия наук2024Russian Academy of SciencesРоссийская академия наукhttps://journals.eco-vector.com/0023-4206/article/view/672386

Моделирование динамики потоков энергичных электронов во внутренней магнитосфере Земли представляет собой актуальную задачу изучения “космической погоды”, учитывая роль, которую энергичные электроны играют в сбоях аппаратуры космических аппаратов. В настоящей работе исследуется возможность построения эмпирической модели потоков электронов на средневысотной круговой орбите спутников ГЛОНАСС. В качестве основной базы данных потоков использованы измерения спутниковой миссии Radiation Belt Storm Probes за 2012–2019 гг. Околоэкваториальные измерения Radiation Belt Storm Probes спроецированы на высоты орбит спутников ГЛОНАСС с использованием эмпирической модели магнитного поля. Главной особенностью представляемой модели потоков энергичных электронов является тот факт, что вместо среднего потока модель восстанавливает функцию распределения вероятностей амплитуд потоков в зависимости от энергии электронов и геомагнитных условий.

Моделирование динамики потоков энергичных электронов во внутренней магнитосфере Земли представляет собой актуальную задачу изучения “космической погоды”, учитывая роль, которую энергичные электроны играют в сбоях аппаратуры космических аппаратов. В настоящей работе исследуется возможность построения эмпирической модели потоков электронов на средневысотной круговой орбите спутников ГЛОНАСС. В качестве основной базы данных потоков использованы измерения спутниковой миссии Radiation Belt Storm Probes за 2012–2019 гг. Околоэкваториальные измерения Radiation Belt Storm Probes спроецированы на высоты орбит спутников ГЛОНАСС с использованием эмпирической модели магнитного поля. Главной особенностью представляемой модели потоков энергичных электронов является тот факт, что вместо среднего потока модель восстанавливает функцию распределения вероятностей амплитуд потоков в зависимости от энергии электронов и геомагнитных условий.

Совет по грантам Президента Российской ФедерацииPresidential Grants Council of the Russian FederationСП-1757.2021.3Shprits Y. Y., Elkington S. R., Meredith N. P. et al. Review of modeling of losses and sources of relativistic electrons in the outer radiation belt I: Radial transport // J. Atmospheric and Solar-Terrestrial Physics. 2008. V. 70. P. 1679–1693.Shprits Y. Y., Subbotin D. A., Meredith N. P. et al. Review of modeling of losses and sources of relativistic electrons in the outer radiation belt II: Local acceleration and loss // J. Atmospheric and Solar-Terrestrial Physics. 2008. V. 70. P. 1694–1713.Millan R.M., Thorne R. M. Review of radiation belt relativistic electron losses // J. Atmospheric and Solar-Terrestrial Physics. 2007. V. 69. P. 362–377.Turner D.L., Shprits Y., Hartinger M. et al. Explaining sudden losses of outer radiation belt electrons during geomagnetic storms // Nature Physics. 2012. V. 8. P. 208–212. https://doi.org/10.1038/nphys2185.Sorathia K.A., Merkin V. G., Ukhorskiy A. Y. et al. Energetic particle loss through the magnetopause: A combined global MHD and test-particle study // J. Geophysical Research: Space Physics. 2017. V. 122. P. 9329–9343. DOI: 10.1002/2017ja024268.Li W., Hudson M. K. Earth’s Van Allen Radiation Belts: From Discovery to the Van Allen Probes Era // J. Geophysical Research (Space Physics). 2019. V. 124 P. 8319–8351. DOI: 10.1029/2018JA025940.Thorne R. M., Bortnik J., Li W. et al. Wave–Particle Interactions in the Earth’s Magnetosphere // Magnetospheres in the Solar System. American Geophysical Union (AGU), 2021. P. 93–108. DOI: 10.1002/9781119815624.ch6.Sorathia K. A., Ukhorskiy A. Y., Merkin V. G. et al. Modeling the Depletion and Recovery of the Outer Radiation Belt During a Geomagnetic Storm: Combined MHD and Test Particle Simulations // J. Geophysical Research (Space Physics). 2018. V. 123. P. 5590–5609. DOI: 10.1029/2018JA025506.Hudson M.K., Kress B. T., Mueller H.-R. et al. Relationship of the Van Allen radiation belts to solar wind drivers // J. Atmospheric and Solar-Terrestrial Physics. 2008. V. 70. P. 708–729.Hudson M. K., Paral J., Kress B. T. et al. Modeling CME-shock-driven storms in 2012–2013: MHD test particle simulations // J. Geophysical Research. 2015. V. 120. P. 1168–1181. DOI: 10.1002/2014JA020833Thorne R.M., Li W., Ni B. et al. Rapid local acceleration of relativistic radiation-belt electrons by magnetospheric chorus // Nature. 2013. V. 504. P. 411–414.Ma Q., Li W., Bortnik J. et al. Quantitative Evaluation of Radial Diffusion and Local Acceleration Processes During GEM Challenge Events // J. Geophysical Research (Space Physics). 2018. V. 123. P. 1938–1952. DOI: 10.1002/2017JA025114.Allison H.J., Shprits Y. Y., Zhelavskaya I. S. et al. Gyroresonant wave-particle interactions with chorus waves during extreme depletions of plasma density in the Van Allen radiation belts // Science Advances. 2021. V. 7. Art. ID. eabc0380. DOI: 10.1126/sciadv.abc0380.Drozdov A. Y., Shprits Y. Y., Orlova K. G. et al. Energetic, relativistic, and ultrarelativistic electrons: Comparison of long-term VERB code simulations with Van Allen Probes measurements // J. Geophysical Research. 2015. V. 120. P. 3574–3587. DOI: 10.1002/ 2014JA020637.Mann I. R., Ozeke L. G., Murphy K. R. et al. Explaining the dynamics of the ultra-relativistic third Van Allen radiation belt // Nature Physics. 2016. V. 12. P. 978–983. https://doi.org/10.1038/nphys3799.Meredith N. P., Horne R. B., Sicard-Piet A. et al. Global model of lower band and upper band chorus from multiple satellite observations // J. Geophysical Research. 2012. V. 117. Art. ID. 10225.Meredith N. P., Horne R. B., Kersten T. et al. Global morphology and spectral properties of EMIC waves derived from CRRES observations // J. Geophysical Research. 2014. V. 119. P. 5328–5342.Agapitov O. V., Artemyev A., Krasnoselskikh V. et al. Statistics of whistler mode waves in the outer radiation belt: Cluster STAFF-SA measurements // J. Geophysical Research. 2013. V. 118. P. 3407–3420.Agapitov O.V., Artemyev A. V., Mourenas D. et al. Empirical model of lower band chorus wave distribution in the outer radiation belt // J. Geophysical Research. 2015. V. 120. P. 425–442. https://doi.org/10.1002/2015JA021829.Agapitov O. V., Mourenas D., Artemyev A. V. et al. Synthetic Empirical Chorus Wave Model from Combined Van Allen Probes and Cluster Statistics // J. Geophysical Research (Space Physics). 2018. V. 123. P. 297–314. DOI: 10.1002/2017JA024843.Wang D., Shprits Y. Y., Zhelavskaya I. S. et al. Analytical Chorus Wave Model Derived from Van Allen Probe Observations // J. Geophysical Research (Space Physics). 2019. V. 124. P. 1063–1084. DOI: 10.1029/2018JA026183.Zhang X.-J., Li W., Thorne R. M. et al. Statistical distribution of EMIC wave spectra: Observations from Van Allen Probes // Geophysical Research Letters. 2016. V. 43. P. 348–355. DOI: 10.1002/2016GL071158.Forsyth C., Watt C. E.J., Mooney M. K. et al. Forecasting GOES15 >2 MeV Electron Fluxes From Solar Wind Data and Geomagnetic Indices // Space Weather. 2020. V. 18. Art. ID. e2019SW002416. DOI: 10.1029/2019SW002416.Mourenas D., Artemyev A. V., Zhang X.-J. Impact of Significant Time-Integrated Geomagnetic Activity on 2-MeV Electron Flux // J. Geophysical Research: Space Physics. 2019. V. 124. P. 4445–4461. DOI: 10.1029/2019JA026659.Chen Y., Reeves G. D., Fu X. et al. PreMevE: New Predictive Model for Megaelectron-Volt Electrons inside Earth’s Outer Radiation Belt // Space Weather. 2019. V. 17. P. 438–454. https://doi.org/10.1029/2018SW002095.Balikhin M. A., Rodriguez J. V., Boynton R. J. et al. Comparative analysis of NOAA REFM and SNB³GEO tools for the forecast of the fluxes of high-energy electrons at GEO // Space Weather. 2016. V. 14. P. 22–31. DOI: 10.1002/2015SW001303.Horne R. B., Glauert S. A., Meredith N. P. et al. Space weather impacts on satellites and forecasting the Earth’s electron radiation belts with SPACECAST // Space Weather. 2013. V. 11. P. 169–186.Iucci N., Levitin A. E., Belov A. V. et al. Space weather conditions and spacecraft anomalies in different orbits // Space Weather. 2005. V. 3. Art. ID1001. DOI: 10.1029/2003SW000056.Horne R. B., Phillips M. W., Glauert S. A. et al. Realistic Worst Case for a Severe Space Weather Event Driven by a Fast Solar Wind Stream // Space Weather. 2018. V. 16. P. 1202–1215. DOI: 10.1029/2018SW001948.Green J. C., Likar J., Shprits Y. Impact of space weather on the satellite industry // Space Weather. 2017. V. 15. P. 804–818. DOI: 10.1002/2017SW001646.Welling D. T. The long-term effects of space weather on satellite operations // Annales Geophysicae. 2010. V. 28. P. 1361–1367.Xapsos M. A., O’Neill P.M., O’Brien T. P. Near-Earth Space Radiation Models // IEEE Trans. Nuclear Science. 2013. V. 60. P. 1691–1705.Cochran D. J., Buchner S. P., Chen D. et al. Total Ionizing Dose and Displacement Damage Compendium of Candidate Spacecraft Electronics for NASA // Proc. IEEE Radiation Effects Data Workshop. 2009. P. 25–31. DOI: 10.1109/REDW.2009.5336318.Zheng Y., Ganushkina N. Y., Jiggens P. et al. Space Radiation and Plasma Effects on Satellites and Aviation: Quantities and Metrics for Tracking Performance of Space Weather Environment Models // Space Weather. 2019. V. 17. P. 1384–1403. DOI: 10.1029/2018SW002042.Chen Y., Carver M. R., Morley S. K. et al. Determining Ionizing Doses in Medium Earth Orbits Using Long-Term GPS Particle Measurements // Proc. IEEE Aerospace Conference. 2021. Big Sky, MT, USA. Art. ID. 50100. DOI: 10.1109/AERO50100.2021.9438516.Ecoffet R. Overview of In-Orbit Radiation Induced Spacecraft Anomalies // IEEE Trans. Nuclear Science. 2013. V. 60. P. 1791–1815.Stassinopoulos E.G., Raymond J. P. The space radiation environment for electronics // Proc. IEEE. 1988. V. 76. P. 1423–1442. DOI: 10.1109/5.90113.Baker D. N., McPherron R. L., Cayton T. E. et al. Linear prediction filter analysis of relativistic electron properties at 6.6RE // J. Geophysical Research: Space Physics. 1990. V. 95. P. 15133–15140.Glauert S. A., Horne R. B., Meredith N. P. A 30-Year Simulation of the Outer Electron Radiation Belt // Space Weather. 2018. V. 16. P. 1498–1522. DOI:10.1029/2018SW001981.Murphy K. R., Watt C. E.J., Mann I. R. et al. The Global Statistical Response of the Outer Radiation Belt during Geomagnetic Storms // Geophysical Research Letters. 2018. V. 45. P. 3783–3792. DOI: 10.1002/2017gl076674.Ozeke L. G., Mann I. R., Olifer L. et al. Rapid Outer Radiation Belt Flux Dropouts and Fast Acceleration During the March 2015 and 2013 Storms: The Role of Ultra-Low Frequency Wave Transport From a Dynamic Outer Boundary // J. Geophysical Research: Space Physics. 2020. V. 125. Art. ID. e2019JA027179. DOI: 10.1029/2019JA027179.Claudepierre S. G., O’Brien T.P., Looper M. D. et al. A Revised Look at Relativistic Electrons in the Earth’s Inner Radiation Zone and Slot Region // J. Geophysical Research: Space Physics. 2019. V. 124. P. 934–951. DOI: 10.1029/2018JA026349.Piet A. S., Bourdarie S., Boscher D. et al. A Model for the Geostationary Electron Environment: POLE, From 30 keV to 5.2 MeV // IEEE Trans. Nuclear Science. 2006. V. 53. P. 1844–1850.Allison H. J., Horne R. B., Glauert S. A. et al. The magnetic local time distribution of energetic electrons in the radiation belt region // J. Geophysical Research: Space Physics. 2017. V. 122. P. 8108–8123. DOI: 10.1002/2017JA024084.Sicard-Piet A., Bourdarie S., Boscher D. et al. A new international geostationary electron model: IGE-2006, from 1 keV to 5.2 MeV // Space Weather. 2008. V. 6. DOI: 10.1029/2007SW000368.Balikhin M.A., Boynton R. J., Walker S. N. et al. Using the NARMAX approach to model the evolution of energetic electrons fluxes at geostationary orbit // Geophysical Research Letters. 2011. V. 38. Art. ID. 18105.Claudepierre S. G., O’Brien T. P. Specifying High-Altitude Electrons Using Low-Altitude LEO Systems: The SHELLS Model // Space Weather. 2020. V. 18. Art. ID. e2019SW002402. DOI: 10.1029/2019sw002402.Pires de Lima R., Chen Y., Lin Y. Forecasting Megaelectron-Volt Electrons inside Earth’s Outer Radiation Belt: PreMevE2.0 Based on Supervised Machine Learning Algorithms // Space Weather. 2020. V. 18. Art. ID. e2019SW002399. DOI: 10.1029/2019SW002399.Smirnov A. G., Berrendorf M., Shprits Y. Y. et al. Medium Energy Electron Flux in Earth’s Outer Radiation Belt (MERLIN): A Machine Learning Model // Space Weather. 2020. V. 18. Art. ID. e2020SW002532. DOI: 10.1029/2020SW002532.Ma D., Chu X., Bortnik J. et al. Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning // Space Weather. 2022. V. 20. Art. ID. e2022SW003079. DOI:10.1029/2022SW003079.Mauk B. H., Fox N. J., Kanekal S. G. et al. Science Objectives and Rationale for the Radiation Belt Storm Probes Mission // Space Science Reviews. 2013. V.179. P. 3–27,Tsyganenko N. A., Sitnov M. I. Modeling the dynamics of the inner magnetosphere during strong geomagnetic storms // J. Geophysical Research. 2005. V. 110. Art. ID. A03208.Kessel R. L., Fox N. J., Weiss M. The Radiation Belt Storm Probes (RBSP) and Space Weather // Space Science Reviews. 2013. V. 179. P. 531–543.Blake J. B., Carranza P. A., Claudepierre S. G. et al. The Magnetic Electron Ion Spectrometer (MagEIS) Instruments aboard the Radiation Belt Storm Probes (RBSP) Spacecraft // Space Science Reviews. 2013. P. 179. DOI: 10.1007/s11214-013-9991-8.Tsyganenko N. A. Modeling the Earth’s magnetospheric magnetic field confined within a realistic magnetopause //J. Geophysical Research. 1995. V. 100. P. 5599–5612.Kletzing C.A., Kurth W. S., Acuna M. et al. The Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) on RBSP // Space Science Reviews. 2013. V. 179. P. 127–181.