Results 101 to 110 of about 241,838 (223)

Positive storm effects in the dayside polar ionospheric F-region observed by EISCAT and ESR during the magnetic storm of 15 May 1997 [PDF]

, 2002
International audienceEISCAT/ESR radar data and in situ FAST and POLAR satellite observations are coordinately analyzed to investigate positive ionospheric storm effects in the dayside upper F-region in both the polar cap and the auroral oval during the ...
Schlegel, K., Liu, H. X., Cai, H., Ma, S. Y., S. Y. Ma, Ma, S.Y., Cai, H. T., Lu, G., Ma, S., H. T. Cai, Liu, H.X., H. X. Liu, Liu, H., Cai, H.T., K. Schlegel, G. Lu   +15 more
core   +2 more sources

Neural Network Imputation of the Pitch‐Angle‐Resolved Medium‐Energy Electron Flux Data in LEO

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Pitch‐angle‐resolved electron flux data are crucial for investigating variations in electron flux within the magnetosphere and the underlying mechanisms, such as radial diffusion and wave‐particle interactions. The Medium‐Energy Electron Detector (MEED) onboard the Fengyun‐3E (FY‐3E) satellite in Low Earth Orbit (LEO) provides 18‐directional ...
Jia‐Li Chen, Hong Zou, Yu‐Guang Ye, Jia‐Chen Sun, Tian‐Hao Li   +4 more
wiley   +1 more source

Michigan Geospace Model With Ensemble Forecasting and Particle Filtering: Modeling the May 2024 Extreme Storm

Space Weather, Volume 24, Issue 9, September 2026.
Abstract This paper introduces an updated version of the University of Michigan Geospace model. The Geospace model has been used for operational forecasting at the Space Weather Modeling Center of the National Oceanic and Atmospheric Agency since 2016 with regular updates. The current operational version, Geospace V2, was launched in 2021 and is driven
Gábor Tóth, Pauline Dredger, Tuija Pulkkinen   +2 more
wiley   +1 more source

Robust Machine Learning–Based Ionospheric Delay Grid Modeling for PPP‐RTK Under Sparse Reference Stations and Severe Geomagnetic Disturbance

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Sparse reference station networks and severe geomagnetic disturbances can significantly degrade the accuracy of regional ionospheric delay modeling at the network side, thereby reducing the positioning performance of PPP‐RTK. To address this issue, this study proposes a machine learning‐based ionospheric delay grid modeling method that finely ...
Linyu He, Weiping Jiang, Hua Chen, Xingyu Zhou, Tianjun Liu, Jie He, Jie Ding   +6 more
wiley   +1 more source

The Development of Geomagnetic and Auroral Storms

Journal of geomagnetism and geoelectricity, 1966
Main phase of geomagnetic storms and magnetic and auroral substorms development by analyzing individual geomagnetic ...
openaire   +2 more sources

Cross‐Correlations of Solar Wind Parameters Using Monitoring Spacecraft

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Space weather predictive modeling currently utilizes real‐time data from the spacecraft ACE and DSCOVR, with SOLAR‐1 and IMAP recently online. This study assesses whether DSCOVR solar wind plasma and interplanetary magnetic field (IMF) data exhibit large‐scale discrepancies from the corresponding ACE data, and if so, whether these ...
P. H. Reiff, S. Chepuri, J. Liebenthal, S. Petrinec, S. Schwartz, C. T. Russell   +5 more
wiley   +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

International 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

Robust Short‐Term Forecasting of Thermospheric Density and Orbit Prediction Using an Interpretable iTransformer Model

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Accurate short‐term forecasting of thermospheric mass density is crucial for satellite operations. However, achieving high‐precision predictions remains a significant challenge. In this study, we develop an iTransformer framework that forecasts thermospheric density over the next 24 hr using observations from the preceding 24 hr. Using density
Mingyi Zhang, Xiangguang Meng, Xin Wang, Yueqiang Sun, Qifei Du, Weihua Bai, Peng Hu, Zhiqi Zhou   +7 more
wiley   +1 more source

The High‐Latitude Workbox for the Ionosphere (HAWK‐I): A New Toolkit for Real‐Time Specification of the Arctic Ionosphere

Space Weather, Volume 24, Issue 9, September 2026.
Abstract The high‐latitude ionosphere exhibits rapid spatial and temporal variability during geomagnetically active periods, creating persistent challenges for accurate nowcasts. The High‐latitude Workbox for the Ionosphere (HAWK‐I) is a real‐time ionosphere nowcast and specification system designed for operational deployment to address these ...
Patrick Dandenault, Clayton Cantrall, Robert Schaefer, Sebastijan Mrak, Giuseppe Romeo, Lisa Knowles, Cathryn Mitchell, Gary Bust   +7 more
wiley   +1 more source

Systematic Component‐Level Characterization of Electricity Transmission Infrastructure for Space Weather Risk Assessment

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Space weather risk assessment is constrained by the lack of available asset information needed to model geomagnetically induced currents (GICs) in electricity transmission infrastructure. We propose a systematic method that enables risk analysts to collect their own open‐source substation data.
Dennies K. Bor, Edward J. Oughton, Evan A. Peters, Noah Rivera, C. Trevor Gaunt, Robert S. Weigel, Michael Wiltberger   +6 more
wiley   +1 more source