Results 101 to 110 of about 4,149 (209)
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
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
This study investigates the relationship between geomagnetic activity and earthquake occurrences, focusing on 17 earthquake main shock events influenced by geomagnetic storms.
S. Prasanna Subramanian +1 more
doaj +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
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
A Novel Deep Learning Approach for TEC Map Completion Using Image Equation‐Guided Loss
Abstract This study introduces the Image Equation Mechanism‐Completion Generative Adversarial Network (IEM‐CGAN), a groundbreaking deep learning framework that revolutionizes the reconstruction of large‐scale global ionospheric total electron content (TEC) maps.
Qingfeng Li +6 more
wiley +1 more source
Objective: To compare the behavior of the frequency of mortality from myocardial infarction (MI) under solar and geomagnetic disturbance in the group and period studied, with some previous reported results.
Varinia Montero Vega +4 more
doaj
Abstract Dense shelf water (DSW) formed on Antarctica's continental shelves is a significant precursor for Antarctic Bottom Water (AABW), a critical component of global overturning circulation. We hypothesize that DSW cascades off the central Ross Sea shelf generated density currents that entrained sediment as they flowed down Hillary Canyon, resulting
Natalia Varela +6 more
wiley +1 more source
Six‐Component Electromagnetic Wave Measurements of Sprite‐Associated Lightning
Abstract Low frequency electromagnetic waves emitted by sprite‐producing lightning are normally measured using vertical electric fields or horizontal magnetic fields. Here we report for the first time the simultaneous measurement of electromagnetic waves from sprite‐producing lightning in all six electromagnetic field components Ex,Ey,Ez,Hx,Hy,andHz ...
Martin Füllekrug +4 more
wiley +1 more source
Abstract This study investigates the effects of quiet time ionospheric conditions and the number of storm events used for training on the prediction of ionospheric total electron content (TEC) during geomagnetic storms using a deep learning method.
Se‐Heon Jeong +4 more
wiley +1 more source

