Annales Geophysicae
Annales Geophysicae
ANGEO
Articles | Volume 43, issue 2
Articles | Volume 43, issue 2
https://doi.org/10.5194/angeo-43-835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-43-835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 43, issue 2
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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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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