• Sorted by Date • Sorted by Last Name of First Author •
Grayver, Alexander, Min, Jingtao, Olsen, Nils, and Smith, Ashley, 2025. Assimilation of Ground and Satellite Magnetic Observations Unravels the Ionospheric, Magnetospheric, and Induced Fields During the May and October 2024 Geomagnetic Storms. Geophysical Research Letters, 52(18):e2025GL116964, doi:10.1029/2025GL116964.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025GeoRL..5216964G,
author = {{Grayver}, Alexander and {Min}, Jingtao and {Olsen}, Nils and {Smith}, Ashley},
title = "{Assimilation of Ground and Satellite Magnetic Observations Unravels the Ionospheric, Magnetospheric, and Induced Fields During the May and October 2024 Geomagnetic Storms}",
journal = {\grl},
year = 2025,
month = sep,
volume = {52},
number = {18},
eid = {e2025GL116964},
pages = {e2025GL116964},
abstract = "{The geomagnetic storms of May and October 2024 were the strongest storms
of solar cycle 25, with the $Dst$ index as low as
{\ensuremath{-}}412 nT and auroras down to low latitudes. To
investigate these extreme events, we developed a global magnetic
field model of magnetospheric, ionospheric, and Earth-induced
contributions obtained by assimilating magnetic observations. To
leverage both ground observatory and multi-satellite magnetic
data from the Swarm, CryoSat-2, GRACE-FO, and MSS-1 satellites,
we used a new modeling approach to separate the magnetospheric
and ionospheric sources, and to model both external and the
Earth-induced fields with a 1-hr time resolution. The high
spatio-temporal resolution of the model enables investigating
the coupling between the mid-latitude ionospheric and
magnetospheric field sources during all phases of the
geomagnetic storms. The model reveals the total magnetic field
disturbance at satellite and ground altitudes, providing
critical input for space weather and a more accurate
representation of the geomagnetic field.}",
doi = {10.1029/2025GL116964},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025GeoRL..5216964G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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