Results 101 to 110 of about 18,291 (244)

Quantifying the Impacts of the May 2024 Geomagnetic Storm on Transatlantic Aviation: Rerouting, Delays, and Economic Losses

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract The May 2024 geomagnetic storm, one of the most intense events of Solar Cycle 25 to date, caused widespread disruptions in aviation operations, particularly for polar and high‐latitude routes. This study quantifies the operational and economic impacts of the storm on 12 selected transatlantic flights between North America and Europe.
Jie Li   +5 more
wiley   +1 more source

AN EXTENSION OF THE CHAPMAN-FERRARO THEORY OF GEOMAGNETIC STORMS [PDF]

open access: yes
Extension of chapman-ferraro theory of geomagnetic ...
Kern, J. W., Vestine, E. H.
core   +1 more source

Localized Increment and Decrement in the Total Electron Content of the Ionosphere as a Response to the April 20, 2018, Geomagnetic Storm

open access: yesInternational Journal of Geophysics, 2018
A moderate geomagnetic storm occurred on April 20, 2018. Using vertical total electron content (VTEC) maps provided by the Center for Orbit Determination in Europe, ionospheric responses to the geomagnetic storm could be identified in generated two ...
Carlos Sotomayor-Beltran
doaj   +1 more source

Analysis of Ionospheric Correlation Time Variations Based on Long‐Term GIMs Data

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract Ionospheric correlation time measures the temporal correlation of the ionosphere and is an important parameter for characterizing the temporal connection of ionospheric variability. Ionospheric correlation times are obtained from high resolution global ionospheric TEC maps spanning 2005 to 2020.
Sicheng Wang, Sheng Guo, Sixun Huang
wiley   +1 more source

Localized Threats: How Ground Conductivity Shapes the Geoelectric Response

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract Geomagnetic storms can induce strong geoelectric fields in the ground. These fields drive geomagnetically induced currents in technological conductor systems, such as power grids. In this study, we analyze 4‐hr periods of two such major geomagnetic storms: the Halloween storm (29–31 October 2003) and the 7–8 September 2017 storm.
M. Kellinsalmi   +3 more
wiley   +1 more source

Global Bottomside Ionospheric Modeling Based on GNSS‐RO Observations From the Tianmu‐1 Constellation

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract Radio occultation (RO) observations provide a crucial means for estimating the global Vertical Bottomside Electron Content (VBEC) in the ionosphere. However, the limited number of low Earth orbit (LEO) satellites in existing RO missions restricts the capability for high‐precision reconstruction of global VBEC spatiotemporal variations.
Linghuo Jian   +4 more
wiley   +1 more source

Thermospheric Heating and Cooling Times During Geomagnetic Storms, Including Extreme Events [PDF]

open access: yes
We present the first quantitative calculations of thermospheric heating and cooling times for geomagnetic storms of different intensity, including extreme events.
Oliveira, Denny M., Zesta, Eftyhia
core   +1 more source

Forecast of Total Electron Content over Europe for disturbed ionospheric Conditions [PDF]

open access: yes, 2012
A general picture of the occurrence of ionospheric storms as function of local time, season and location is known from numerous studies over the past 50 years.
Berdermann, Jens   +3 more
core  

Analysis on Global Es Layer Response to the May 2024 Geomagnetic Storm Through a Combination of Tianmu‐1 and COSMIC‐2 Radio Occultation Observations

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract The sporadic E (Es) layer, a key manifestation of ionosphere‐neutral atmosphere coupling, is highly sensitive to geomagnetic storms. Using more than 25,000 daily radio occultation profiles from the Tianmu‐1 and COSMIC‐2 constellations, this study investigates the global response of the Es layer to the May 2024 storm.
Sheng Guo   +4 more
wiley   +1 more source

Extended Lead‐Time Geomagnetic Storm Forecasting With Solar Wind Ensembles and Machine Learning

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract Geomagnetic storms are large disruptions of the magnetosphere, which can impact satellites, communications systems, and power grids, causing significant technological and economic impacts. Current forecasting models utilize L1 satellite data, constraining lead time to a few hours, often insufficient for effective mitigation. We investigate how
M. Billcliff   +6 more
wiley   +1 more source

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