• Sorted by Date • Sorted by Last Name of First Author •
Li, Peicheng, Zhang, Bingbing, Shen, Yi, Li, Hongrui, Li, Mengyang, and Liu, Zijian, 2026. Accuracy evaluation and adaptability analysis of NRLMSIS 2.1 model during different geomagnetic disturbances at different orbital heights. Advances in Space Research, 78(2):1404–1426, doi:10.1016/j.asr.2026.04.051.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026AdSpR..78.1404L,
author = {{Li}, Peicheng and {Zhang}, Bingbing and {Shen}, Yi and {Li}, Hongrui and {Li}, Mengyang and {Liu}, Zijian},
title = "{Accuracy evaluation and adaptability analysis of NRLMSIS 2.1 model during different geomagnetic disturbances at different orbital heights}",
journal = {Advances in Space Research},
keywords = {Thermospheric density, Geomagnetic storm, NRLMSIS 2.1 model, GRACE-FO satellite, Swarm-C satellite},
year = 2026,
month = jul,
volume = {78},
number = {2},
pages = {1404-1426},
abstract = "{Thermospheric density is a critical parameter for understanding the
space environment. Despite extensive research and the
development of various atmospheric models, their accuracy
remains limited, particularly during geomagnetic storms when
model deviations can exceed 100\%. This study systematically
evaluates the performance of the NRLMSIS 2.1 model during five
geomagnetic storm events of varying intensity (weak, moderate,
strong, severe, and extreme) from 2018 to 2024. The evaluation
utilizes thermospheric density data derived from GRACE-FO (at
approximately 500 km altitude) and Swarm-C (at approximately 450
km altitude) satellite accelerometers, focusing on the model's
response characteristics at different altitudes and phases of
geomagnetic storms. The results reveal significant systematic
biases in the NRLMSIS 2.1 model during storm periods.
Specifically, the model generally underestimates density peaks
during the main phase and overestimates density during the
initial phase, and tends to underestimate during the recovery
phase due to thermal inertia. Furthermore, the model
inadequately captures the high-latitude density enhancements and
rapid diffusion processes of atmospheric density at high
latitudes. We also find that the discrepancies between the
modeled and observed densities become substantially larger
during intense and extreme geomagnetic storm events, indicating
that the NRLMSIS 2.1 model has difficulty capturing rapid and
highly localized storm-time thermospheric responses. Moreover,
altitude-dependent analysis reveals that the larger absolute
errors at 450 km result from a more severe systematic background
overestimation combined with atmospheric density scaling
effects, rather than inherently poorer model applicability. In
conclusion, the NRLMSIS 2.1 model exhibits considerable
limitations in accurately characterizing the magnitude, spatial
structure, and temporal delay of thermospheric responses during
geomagnetic storms.}",
doi = {10.1016/j.asr.2026.04.051},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..78.1404L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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