نوع مقاله : مقاله پژوهشی
نویسندگان
Department of Space physics, Faculty of Physics, Yazd University, Yazd, Iran.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The significant variations in the solar and magnetic parameters during the peak solar activity periods necessitate a detailed analysis to understand the interactions between the solar wind and the magnetosphere. This research investigates the impact of various solar wind parameters on the Polar Cap (PC) magnetic activity index. The primary objective of this research is to identify and analyze the relationships between the solar wind speed (VSW), the solar wind dynamic pressure (PSW), and the interplanetary electric activity index (AE) with the PC index. A multilayer perceptron (MLP) artificial neural network model was used to explore these relationships. Identifying and predicting complex nonlinear relationships between the input variables and the PC index is the distinctive feature of the model. The dataset used in this research was obtained from the Defense Meteorological Satellite Program (DMSP) satellites and includes VSW, PSW, and AE parameters during periods of peak solar activity in 2002 and 2014. These data were used to analyze the temporal and seasonal variations of the PC index.
The results indicate that artificial neural network models can effectively predict the PC index, and a strong correlation between the PC index and the input parameters, particularly in the first half of the years under research, has been observed. The results show the high potential of machine learning models to analyze and predict geomagnetic phenomena, which can improve the forecasting and management of geomagnetic disturbances, and serve as a suitable alternative to classical models.
کلیدواژهها [English]
Akasofu, S.-I. (1981). Energy coupling between the solar wind and the magnetosphere. Space Science Reviews, 28(2), 121-190.
Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rödenbeck, C., Arain, M. A., Baldocchi, D., & Bonan, G. B. (2010). Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science, 329(5993), 834-838.
Boteler, D. H. (2019). A 21st century view of the March 1989 magnetic storm. Space Weather, 17(10), 1427-1441.
dmsp, D. M. S. P. dmsp. https://cdaweb.gsfc.nasa.gov/pub/data/dmsp/
Dungey, J. W. (1961). Interplanetary magnetic field and the auroral zones. Physical Review Letters, 6(2), 47.
Feldstein, Y. I., Pisarsky, V. Y., Rudneva, N., & Grafe, A. (1984). Ring current simulation in connection with interplanetary space conditions. Planetary and space science, 32(8), 975-984.
García, S., Luengo, J., & Herrera, F. (2015). Data preprocessing in data mining (Vol. 72). Springer.
Gonzalez, W., Joselyn, J.-A., Kamide, Y., Kroehl, H. W., Rostoker, G., Tsurutani, B., & Vasyliunas, V. (1994). What is a geomagnetic storm? Journal of Geophysical Research: Space Physics, 99(A4), 5771-5792.
Goodfellow, I. (2016). Deep learning. In: MIT press.
Han, J., Pei, J., & Tong, H. (2022). Data mining: concepts and techniques. Morgan kaufmann.
Hashimoto, K. K., Kikuchi, T., & Ebihara, Y. (2002). Response of the magnetospheric convection to sudden interplanetary magnetic field changes as deduced from the evolution of partial ring currents. Journal of Geophysical Research: Space Physics, 107(A11), SMP 1-1-SMP 1-14.
Holappa, L., & Buzulukova, N. Y. (2022). Explicit IMF B (y) -Dependence of Energetic Protons and the Ring Current. Geophys Res Lett, 49(8), e2022GL098031. https://doi.org/10.1029/2022gl098031
Kan, J., & Lee, L. (1979). Energy coupling function and solar wind‐magnetosphere dynamo. Geophysical Research Letters, 6(7), 577-580.
Kivelson, M. G., & Russell, C. T. (1995). Introduction to space physics. Cambridge university press.
Kozyra, J., & Nagy, A. (1991). Ring Current Decay Coupling of Ring Current Energy into the Thermosphere/Ionosphere System. Journal of geomagnetism and geoelectricity, 43(Supplement1), 285-297.
Lee, D.-Y., Lyons, L. R., & Yumoto, K. (2004). Sawtooth oscillations directly driven by solar wind dynamic pressure enhancements. Journal of Geophysical Research: Space Physics, 109(A4). https://doi.org/https://doi.org/10.1029/2003JA010246
Maghrabi, A., & Alghamdi, M. (2024). Differential responses of total ozone content to solar activity parameters at two Saudi Arabian locations. Journal of Atmospheric and Solar-Terrestrial Physics, 265, 106379.
O'Brien, T. P., & McPherron, R. L. (2000). An empirical phase space analysis of ring current dynamics: Solar wind control of injection and decay. Journal of Geophysical Research: Space Physics, 105(A4), 7707-7719.
Pfau-Kempf, Y., Papadakis, K., Alho, M., Battarbee, M., Cozzani, G., Pänkäläinen, L., Ganse, U., Kebede, F., Suni, J., & Horaites, K. (2024). Global evolution of flux transfer events along the magnetopause from the dayside to the far tail. Annales Geophysicae Discussions, 2024, 1-28.
Rice, R. C., Chen, L. J., Gershman, D., Fuselier, S. A., Burkholder, B. L., Gurram, H., Beedle, J., Shuster, J., Petrinec, S. M., & Pollock, C. (2024). Dynamics of the storm time magnetopause and magnetosheath boundary layers: An MMS‐THEMIS conjunction. Geophysical Research Letters, 51(4), e2023GL106600.
Sedrati, R., Bouchachi, D., & Attallah, R. (2024). Correlation analysis of the long-term interplay of cosmic rays, solar activity, and solar irradiance. Physica Scripta, 99(11), 115032.
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. (2014). Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research, 15(1), 1929-1958.
Tepke, B. P. (2019). Empirical Studies Related to Open Questions Regarding Geomagnetic Storms. West Virginia University.
Troshichev, O., Janzhura, A., & Stauning, P. (2006). Unified PCN and PCS indices: Method of calculation, physical sense, and dependence on the IMF azimuthal and northward components. Journal of Geophysical Research: Space Physics, 111(A5).
Troshichev, O., Janzhura, A., Troshichev, O., & Janzhura, A. (2012). Solar wind–magnetosphere–ionosphere coupling and the PC index. Space Weather Monitoring by Ground-Based Means: PC Index, 77-101.
Troshichev, O., & Sormakov, D. (2019). PC index as a proxy of the solar wind energy that entered into the magnetosphere: 4. Relationship between the solar wind dynamic pressure (PSW) impulses and PC, AL indices. Journal of Atmospheric and Solar-Terrestrial Physics, 182, 200-210.
Troshichev, O. A., & Sormakov, D. A. (2015). PC index as a proxy of the solar wind energy that entered into the magnetosphere: 2. Relation to the interplanetary electric field EKL before substorm onset. Earth, Planets and Space, 67(1), 170. https://doi.org/10.1186/s40623-015-0338-4
Wallace, G. M., Bai, Z., Sadre, R., Perciano, T., Bertelli, N., Shiraiwa, S., Bethel, E. W., & Wright, J. C. (2022). Towards fast and accurate predictions of radio frequency power deposition and current profile via data-driven modelling: applications to lower hybrid current drive. Journal of Plasma Physics, 88(4), 895880401, Article 895880401. https://doi.org/10.1017/S0022377822000708
Wang, C. B., Chao, J. K., & Lin, C.-H. (2003). Influence of the solar wind dynamic pressure on the decay and injection of the ring current. Journal of Geophysical Research: Space Physics, 108(A9). https://doi.org/https://doi.org/10.1029/2003JA009851
Yamamoto, K., Seki, K., Amano, T., Nakamizo, A., Miyoshi, Y., & Yamakawa, T. (2024). A drift kinetic simulation of internally driven ULF waves based on multi-point spacecraft observations in the ionosphere and the magnetosphere.
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