A Comparison of MAVEN SIR Observations With the Stationary WSA‐ENLIL Solar Wind Model

Abstract Predicting times of arrival and properties of space weather events, such as coronal mass ejections and stream interaction regions (SIRs), has become an important focus of the space physics community within recent years. Extensive efforts have been undertaken to model these space weather events throughout the heliosphere in order to better understand their properties and predict how and when they will impact planetary environments. In this study, we compare in situ solar wind parameters during SIRs measured by the Mars Atmosphere and Volatile EvolutioN (MAVEN) spacecraft to parameters generated by the Wang‐Sheeley‐Arge (WSA)‐ENLIL stationary solar wind model. We compare times of arrival, end times, event duration, solar wind parameters, and magnetic compression ratios as measured by MAVEN versus WSA‐ENLIL using a previously compiled 9‐year catalog of SIR observations. We find that WSA‐ENLIL, on average, predicts earlier times of arrival and longer duration SIRs than what is observed by MAVEN. We examine how in situ solar wind parameters compare to those predicted by WSA‐ENLIL and find that solar wind proton density and magnetic field magnitude are slightly underpredicted by the model, while solar wind speed is well predicted. We also find that the magnetic compression ratio predicted by WSA‐ENLIL is higher than MAVEN by an average of 26%. We examine the effects of planetary geometry on the modeling outputs and find that certain parameters are more adversely impacted than others depending on the alignment of Earth and Mars.

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Publication Details

Journal
Journal of Geophysical Research Space Physics
Published
2025-12-01
DOI
https://doi.org/10.1029/2025ja034641
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
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article

A Comparison of MAVEN SIR Observations With the Stationary WSA‐ENLIL Solar Wind Model

Sarah Henderson, J. S. Halekas, J. Gruesbeck, Rachael Filwett et al.
Journal of Geophysical Research Space Physics
Ionosphere and magnetosphere dynamics
article

A Comparison of MAVEN SIR Observations With the Stationary WSA‐ENLIL Solar Wind Model

Sarah Henderson, J. S. Halekas, J. Gruesbeck, Rachael Filwett, Sophia Owen
article en

Abstract

Abstract Predicting times of arrival and properties of space weather events, such as coronal mass ejections and stream interaction regions (SIRs), has become an important focus of the space physics community within recent years. Extensive efforts have been undertaken to model these space weather events throughout the heliosphere in order to better understand their properties and predict how and when they will impact planetary environments. In this study, we compare in situ solar wind parameters during SIRs measured by the Mars Atmosphere and Volatile EvolutioN (MAVEN) spacecraft to parameters generated by the Wang‐Sheeley‐Arge (WSA)‐ENLIL stationary solar wind model. We compare times of arrival, end times, event duration, solar wind parameters, and magnetic compression ratios as measured by MAVEN versus WSA‐ENLIL using a previously compiled 9‐year catalog of SIR observations. We find that WSA‐ENLIL, on average, predicts earlier times of arrival and longer duration SIRs than what is observed by MAVEN. We examine how in situ solar wind parameters compare to those predicted by WSA‐ENLIL and find that solar wind proton density and magnetic field magnitude are slightly underpredicted by the model, while solar wind speed is well predicted. We also find that the magnetic compression ratio predicted by WSA‐ENLIL is higher than MAVEN by an average of 26%. We examine the effects of planetary geometry on the modeling outputs and find that certain parameters are more adversely impacted than others depending on the alignment of Earth and Mars.

Journal of Geophysical Research Space PhysicsVol. 130(12)
University of Iowa (US), Goddard Space Flight Center (US), Montana State University (US)
National Science Foundation, National Aeronautics and Space Administration, George Mason University, Goddard Space Flight Center
Affordable and clean energy
Openalex Percentile: Top 30%
Ionosphere and magnetosphere dynamics
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