Articles | Volume 43, issue 2
https://doi.org/10.5194/angeo-43-835-2025
https://doi.org/10.5194/angeo-43-835-2025
Regular paper
 | 
15 Dec 2025
Regular paper |  | 15 Dec 2025

Parameterization of the subsolar standoff distance of Earth's magnetopause based on results from machine learning

Lars Klingenstein, Niklas Grimmich, Yuri Y. Shprits, Adrian Pöppelwerth, and Ferdinand Plaschke

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Cited articles

Aghabozorgi Nafchi, M., Němec, F., Pi, G., Němeček, Z., Šafránková, J., Grygorov, K., and Šimůnek, J.: Interplanetary Magnetic Field By Controls the Magnetopause Location, Journal of Geophysical Research: Space Physics, 128, e2023JA031303, https://doi.org/10.1029/2023JA031303, 2023. a, b, c, d
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Baraka, S. M., Le Contel, O., Ben-Jaffel, L., and Moore, W. B.: The Impact of Radial and Non-Radial IMF on the Earth's Magnetopause Size, Shape, and Dawn-Dusk Asymmetry From Global 3D Kinetic Simulations, Journal of Geophysical Research: Space Physics, 126, e2021JA029528, https://doi.org/10.1029/2021JA029528, 2021. a, b, c
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Short summary
We applied machine learning to investigate how the solar wind and Earth's geomagnetic activity control the position of the magnetopause, the boundary layer of Earth's magnetic field. Our results demonstrate that geomagnetic activity strongly influences this boundary and should be incorporated in predictive models. Using data from multiple spacecraft, we developed a simple mathematical description of the magnetopause distance that improves understanding of solar wind–magnetosphere interactions.
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