Results 101 to 110 of about 2,994 (242)
Abstract The May 2024 superstorm, as the most intense geomagnetic storm since 2003, caused a variety of disturbances in the magnetosphere‐ionosphere‐thermosphere system. This study investigates the long‐lasting electron density depletion in the polar region and the underlying ionosphere‐thermosphere coupling, based on a comprehensive set of ...
Lei Cai +8 more
wiley +1 more source
Abstract Sudden changes in the ground magnetic field, driven by geomagnetic activity, can ultimately generate geomagnetically induced currents (GICs), which can have a significant impact on artificial technology systems. High rates of change in the horizontal geomagnetic field (dH/dt) can be used as a substitute for the strength of GICs.
C. M. Zhang +10 more
wiley +1 more source
Space Weather and Power Grids - A Vulnerability Assessment [PDF]
Strong geomagnetic disturbances resulting from solar activity can have a major impact on ground-based infrastructures, such as power grids, pipelines and railway systems.
KRAUSMANN Elisabeth, PICCINELLI ROBERTA
core +1 more source
Galactic Cosmic Ray Ionization on Uranus; Geomagnetic Latitude Dependencies
Abstract Galactic Cosmic Rays (GCRs) are a major source of atmospheric ionization, influencing ion abundance, aerosol formation, and electrical processes. GCR‐induced effects are expected to be more pronounced on Uranus than planets closer to the Sun for two reasons; reduced solar irradiance, and weaker solar modulation of incident GCR.
Ola Al‐Khuraybi +2 more
wiley +1 more source
Abstract The East Antarctic Ice Sheet (EAIS) formed circa 34 million years ago and now contains an ice volume equivalent to ∼52 m of global sea‐level rise. Although the EAIS is approximately in balance today, there is substantial uncertainty regarding the sensitivity of sectors underlain by low‐lying bed topography to future climate and ocean warming ...
Guy J. G. Paxman +5 more
wiley +1 more source
In this work, we describe an approach to characterize the ground response to geomagnetic storm drivers and recalculate the scaling factors that are used in the North American Reliability Corporation (NERC) TPL‐007 geomagnetic disturbance (GMD) standard ...
A. Pulkkinen +4 more
doaj +1 more source
Forecasting Local Ionospheric Parameters Using Transformers
Abstract We present a novel method for forecasting key ionospheric parameters using transformer‐based neural networks. The model provides accurate forecasts and uncertainty quantification of the F2‐layer peak plasma frequency (foF2), the F2‐layer peak density height (hmF2), and total electron content for a given geographic location.
D. J. Alford‐Lago +4 more
wiley +1 more source
Segmentation and Tracking of Eruptive Solar Phenomena With Convolutional Neural Networks
Abstract Solar eruptive events are complex phenomena, which most often include coronal mass ejections (CME), CME‐driven compressive and shock waves, flares, and filament eruptions. CMEs are large eruptions of magnetized plasma from the Sun's outer atmosphere or corona, that propagate outward into the interplanetary space.
Oleg Stepanyuk, Kamen Kozarev
wiley +1 more source
Automated Coronal Hole Identification via Multi-Thermal Intensity Segmentation
Coronal holes (CH) are regions of open magnetic fields that appear as dark areas in the solar corona due to their low density and temperature compared to the surrounding quiet corona.
Gallagher, Peter T. +2 more
core +1 more source
Reconstructing Magnetotail Reconnection Events Using Data Mining is Feasible and Repeatable
Abstract Recently, Stephens et al. (2023), https://doi.org/10.1029/2022ja031066 utilized a data mining (DM) algorithm, applied to 26 years of magnetospheric magnetometer observations coupled with a flexible formulation of the magnetospheric magnetic field, to reconstruct the global configuration of the magnetotail when the Magnetospheric MultiScale ...
G. K. Stephens +3 more
wiley +1 more source

