Results 81 to 90 of about 619,372 (203)
Neural Network Imputation of the Pitch‐Angle‐Resolved Medium‐Energy Electron Flux Data in LEO
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 +4 more
wiley +1 more source
Atmospheric neutral density is a crucial component to accurately predict and track the motion of satellites. During periods of elevated solar and geomagnetic activity atmospheric neutral density becomes highly variable and dynamic.
K. Murphy +7 more
doaj +1 more source
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 +2 more
wiley +1 more source
Geomagnetic storms are the largest disturbance in the Earth's magnetic field. On May 11, 2024, a geomagnetic storm occurred at the peak of the 25th solar cycle, reaching the highest level (G5) on the planetary scale.
Rudi Čop
doaj +1 more source
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 +6 more
wiley +1 more source
Applying Hpo Indices to Empirical Thermospheric Density Models During Geomagnetic Storms
Accurate atmospheric drag modeling is essential for precise orbit determination and prediction of Low Earth Orbit satellites. A key component is the thermospheric density, typically estimated using empirical models driven by geomagnetic activity indices ...
Kemin Zhu +5 more
doaj +1 more source
Cross‐Correlations of Solar Wind Parameters Using Monitoring Spacecraft
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 +5 more
wiley +1 more source
Swarm-Derived Indices of Geomagnetic Activity
Ground-based indices, such as the Dst, ap, and AE, have been used for decades to describe the interplay of the terrestrial magnetosphere with the solar wind and provide quantifiable indications of the state of geomagnetic activity in general.
Trenchi, Lorenzo +13 more
core +1 more source
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 +7 more
wiley +1 more source
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 +7 more
wiley +1 more source

