Variability of Earth's Magnetopause and Bow Shock Locations Modeled via Multi‐Decade Solar Wind Observations

Abstract Numerous studies have explored modeling the shape of Earth's magnetopause (MP) and bow shock (BS) as a function of incident solar wind conditions, utilizing either magnetohydrodynamic model data or observations of boundary crossings from orbiting spacecraft. Here we present a novel method for modeling the variance of the location of the BS and MP location as a function of solar wind variability. We utilize 27 years of OMNI solar wind data to drive a Monte Carlo simulation in which 1,000 solar wind conditions are randomly drawn and the MP and BS locations are simulated. Leveraging ray tracing, we have aggregated the Lin et al. (2010, https://doi.org/10.1029/2009ja014235 ) and Nguyen et al. (2022c, https://doi.org/10.1029/2021ja030112 ) models of the MP and Jeřáb et al. (2005, https://doi.org/10.1016/j.pss.2004.09.032 ) and Chapman and Cairns (2003, https://doi.org/10.1029/2002ja009569 ) models of the BS to produce 3D models for the 75%, 90%, 95%, and 99% quantiles of both surfaces, along with average and median locations.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-05-19
DOI
https://doi.org/10.1029/2025gl115462
Citations
2
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
2.31

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article

Variability of Earth's Magnetopause and Bow Shock Locations Modeled via Multi‐Decade Solar Wind Observations

I. J. Cohen, D. L. Turner, Kiley L. Yeakel
2 citations
Geophysical Research Letters
Ionosphere and magnetosphere dynamics
2.31
article

Variability of Earth's Magnetopause and Bow Shock Locations Modeled via Multi‐Decade Solar Wind Observations

I. J. Cohen, D. L. Turner, Kiley L. Yeakel
article en
2 citations

Abstract

Abstract Numerous studies have explored modeling the shape of Earth's magnetopause (MP) and bow shock (BS) as a function of incident solar wind conditions, utilizing either magnetohydrodynamic model data or observations of boundary crossings from orbiting spacecraft. Here we present a novel method for modeling the variance of the location of the BS and MP location as a function of solar wind variability. We utilize 27 years of OMNI solar wind data to drive a Monte Carlo simulation in which 1,000 solar wind conditions are randomly drawn and the MP and BS locations are simulated. Leveraging ray tracing, we have aggregated the Lin et al. (2010, https://doi.org/10.1029/2009ja014235 ) and Nguyen et al. (2022c, https://doi.org/10.1029/2021ja030112 ) models of the MP and Jeřáb et al. (2005, https://doi.org/10.1016/j.pss.2004.09.032 ) and Chapman and Cairns (2003, https://doi.org/10.1029/2002ja009569 ) models of the BS to produce 3D models for the 75%, 90%, 95%, and 99% quantiles of both surfaces, along with average and median locations.

Geophysical Research LettersVol. 52(10)
Johns Hopkins University Applied Physics Laboratory (US)
National Aeronautics and Space Administration, Goddard Space Flight Center
Openalex Percentile: Top 12%
Ionosphere and magnetosphere dynamics
2.31
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Variability of Earth's Magnetopause and Bow Shock Locations Modeled via Multi‐Decade Solar Wind Observations — I. J. Cohen, D. L. Turner, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS