Results 121 to 130 of about 290,411 (293)
Using data from the three Swarm satellites, we study the ionospheric response to the intense geomagnetic storm of June 22–23, 2015. With the minimum SYM-H excursion of −207 nT, this storm is so far the second strongest geomagnetic storm in the current ...
E. Astafyeva, I. Zakharenkova, P. Alken
semanticscholar +1 more source
Driving Dynamical Inner‐Heliosphere Models With In Situ Solar Wind Observations
Abstract Accurately reconstructing the solar wind throughout the inner heliosphere is essential for understanding solar–terrestrial interactions and improving space‐weather forecasts. Conventional reconstruction methods rely on photospheric magnetic field observations and coronal models to estimate solar wind conditions near the Sun, typically at 0.1 ...
M. J. Owens +10 more
wiley +1 more source
Effect of the 1 December 2023 Geomagnetic Storm on SPP Performance in China
Geomagnetic storms, precipitated by solar phenomena such as coronal mass ejections (CMEs), profoundly disturb the Earth's magnetic field, impacting satellite‐based navigation systems.
Si Chen +6 more
doaj +1 more source
Forecast of Ionospheric TEC Maps Using ConvGRU Deep Learning Over China
In this article, we propose a convolutional gated recurrent unit (ConvGRU) deep learning method to forecast ionospheric total electron content (TEC) over China based on the regional ionospheric maps (RIMs) from 2015 to 2018.
Jun Tang +4 more
doaj +1 more source
Abstract Understanding and forecasting extreme radiation belt electron fluxes has been a major goal in space weather since their discovery in 1958. In this study, by combining electron flux data from multiple satellite missions in different orbits, including Van Allen Probes, Electron Losses and Fields Investigation, and Colorado Inner Radiation Belt ...
Man Hua +6 more
wiley +1 more source
Abstract Space weather disturbances can degrade satellite navigation accuracy, posing operational challenges for Unmanned Aerial Vehicle (UAV) missions that require precise path planning. This study investigates the impact of space weather‐induced horizontal navigation errors on UAV flight distance and energy consumption through a simulation‐based ...
Dabin Xue +5 more
wiley +1 more source
Classifying and bounding geomagnetic storms based on the SYM-H and ASY-H indices [PDF]
Armando Collado‐Villaverde +2 more
openalex +1 more source
Solar sources of geomagnetic storms
Because geomagnetic storms can have important effects on communications and electrical power distribution, an ability to predict these storms has considerable value. We have recently come to understand that coronal mass ejections (CMEs) cause most large geomagnetic storms during the most active part of the solar cycle [Gosling et al., 1991].
openaire +1 more source
Forecasting SEP Atmospheric and Space Radiation by Coupling UMASEP and NAIRAS Models
Abstract The Nowcast of Aerospace Ionizing RAdiation System (NAIRAS) model predicts the radiation environment from the Earth's surface to free‐space. The model output provides dosimetric and particle flux quantities required to assess the hazardous radiation impacts to human health and adverse effects on vehicle electronic systems.
Christopher J. Mertens +4 more
wiley +1 more source

