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  • Presentation | SM12A: Fifty Years of the Burton Equation: Ring Current Physics and Prediction I Oral
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  • SM12A-08: Prediction of Proton Pressure in the Outer Part of the Inner Magnetosphere Using Machine Learning
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Author(s):
Elena Kronberg, Ludwig Maximilians University of Munich (First Author, Presenting Author)
Songyan Li, CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences
Christopher Mouikis, Univ New Hampshire
Aimin Du, Institute of Geology and Geophysics, Chinese Academy of Sciences
Hao Luo, CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences,
Y. S. Ge, CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences


The distribution of the plasma pressure in the magnetosphere is a key parameter for the assessment of the magnetostatic equilibrium, the dynamics of geomagnetic storms, and the magnetospheric electric current system. In addition, the outer part of the inner magnetosphere is often used as the boundary in the ring current simulations. Thus, the distribution of the plasma pressure at this boundary is essential for the simulations of the ring curent and understanding of the underlying magnetospheric dynamic processes. Although, there are many previous studies on the distribution of plasma pressure, building a model to predict the 3-D distribution of proton pressure remains challenging. Based on 17 years of data from the Cluster spacecraft mission, a machine-learning-based model for predicting proton pressure at energies from ∼40 eV to 4 MeV in the outer part of the inner magnetosphere is built. We set up the 3-D model for the prediction of the proton pressure depending on the location, the property of stably trapped particles, solar activity, and geomagnetic activity indices. The model gives reliable predictions and can be used for the interpretation of the dynamics of the inner magnetosphere under different geomagnetic conditions.



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