Модель потоков высокоэнергичных электронов на орбитах ГЛОНАСС

Capa

Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

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.

Texto integral

Acesso é fechado

Sobre autores

П. Шустов

Институт космических исследований РАН

Autor responsável pela correspondência
Email: p.shustov@gmail.com
Rússia, Москва

А. Петрукович

Институт космических исследований РАН

Email: p.shustov@gmail.com
Rússia, Москва

А. Артемьев

Институт космических исследований РАН

Email: p.shustov@gmail.com
Rússia, Москва

Bibliografia

  1. Shprits 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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: 10.1002/2014JA020833
  11. Thorne 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. Welling D. T. The long-term effects of space weather on satellite operations // Annales Geophysicae. 2010. V. 28. P. 1361–1367.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. Ecoffet R. Overview of In-Orbit Radiation Induced Spacecraft Anomalies // IEEE Trans. Nuclear Science. 2013. V. 60. P. 1791–1815.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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,
  52. 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.
  53. 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.
  54. 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.
  55. Tsyganenko N. A. Modeling the Earth’s magnetospheric magnetic field confined within a realistic magnetopause //J. Geophysical Research. 1995. V. 100. P. 5599–5612.
  56. 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.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
Baixar
2. Fig. 1. Projections of magnetic field lines of force (red) passing through one revolution of the RBSP satellite orbit trajectory (blue) on three planes. The red dots indicate the intersection of the force lines with the height HG

Baixar (419KB)
Metadados
3. Fig. 2. Distribution of the fluxes of energetic electrons with energies 33-4096 keV measured at RBSP and the fluxes at the studied altitude of the GLONASS orbit, the colour shows the number of measurements falling within the range of parameters

Baixar (118KB)
Metadados
4. Fig. 3. Histogram of the number of observations from RBSP data from the value of the geomagnetic index SymH at the corresponding moment of time. The horizontal line corresponds to 1000 observations for which the cut-off is performed

Baixar (89KB)
Metadados
5. Fig. 4. Examples of histograms of observations of different flux values (left) and the corresponding electron flux probability density for three different energies (right)

Baixar (454KB)
Metadados
6. Fig. 5. Example of approximation of distribution functions for different values of energy and geomagnetic index. Blue colour - probability density obtained from the flux measurements on the RBSP satellites, red - approximation of the presented probability density function

Baixar (178KB)
Metadados
7. Fig. 6. Dependences of approximation parameters on energy and geomagnetic index. Parameter R - correlation coefficient of the model (surface) and parameter values at data approximation (blue points)

Baixar (359KB)
Metadados
8. Fig. 7. SymH geomagnetic index (top) and fluence (bottom) for four time intervals in the energy range 0.5...3.0 MeV. Blue solid lines show the fluence based on RBSP data projected onto GLONASS altitudes; blue dashed lines show the fluence based on the model constructed in this work; red solid lines show the fluence based on open data from the GPS satellite

Baixar (221KB)
Metadados

Declaração de direitos autorais © Russian Academy of Sciences, 2024