Results 111 to 120 of about 13,189 (224)

A Novel Deep Learning Approach for TEC Map Completion Using Image Equation‐Guided Loss

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
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, Hanxian Fang, Chao Xiao, Die Duan, Hongtao Huang, Ganming Ren, Xuhui Shen   +6 more
wiley   +1 more source

The interplanetary magnetic field and polar magnetic disturbances [PDF]

Interplanetary magnetic field and magnetic disturbances in polar ...
Cahill, L. J., Jr., Fairfield, D. H.
core   +1 more source

Forecasting Total Electron Content During Geomagnetic Storms Using Convolutional Long Short‐Term Memory (ConvLSTM): Performance and Limitations

Space Weather, Volume 24, Issue 2, February 2026.
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, Hyosub Kil, Woo Kyoung Lee, Jeong‐Heon Kim, Young‐Sil Kwak   +4 more
wiley   +1 more source

High‐Precision Prediction of Auroral Substorm Expansion Phase Evolution Using a Spatio‐Temporal Attention Deep Learning Model

Space Weather, Volume 24, Issue 2, February 2026.
Abstract Auroral substorms are a key manifestation of solar‐terrestrial interactions and the release of energy within the Earth's magnetosphere. The expansion phase, which is characterized by rapid changes in auroral morphology and intensity, poses significant space weather risks to satellite operations and communication systems.
Qiuju Yang, Xiaojian Cao, Yong Wang, Zanyang Xing   +3 more
wiley   +1 more source

AI‐Based Improvement of IRI‐2020 Electron Density Profiles With COSMIC Radio Occultation Data

Space Weather, Volume 24, Issue 2, February 2026.
Abstract In this study, we propose an AI‐based method to improve the electron density profiles generated by the International Reference Ionosphere (IRI)‐2020 model using the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) radio occultation (RO) data.
Eun‐Young Ji, Yong‐Jae Moon, Young‐Sil Kwak, Kangwoo Yi, Jeong‐Heon Kim, Woong Jeon   +5 more
wiley   +1 more source

High‐Latitude Electrodynamics and Thermospheric Density Variations During the 2024 Gannon Storm

Space Weather, Volume 24, Issue 2, February 2026.
Abstract This study investigates high‐latitude electrodynamics and thermospheric density variations during the 2024 Gannon's storm. First, the auroral precipitation module of Auroral Spectra and High‐Latitude Electric field variabilitY, ASHLEY‐A, is improved to more accurately capture the location of auroral precipitation observed during this ...
Qingyu Zhu, Sarah Vines, Marc Hairston, Yun‐Ju Chen, Phillip Anderson, Cheng Sheng, Yue Deng   +6 more
wiley   +1 more source

Large-scale, near-Earth, magnetic fields from external sources and the corresponding induced internal field [PDF]

Data from MAGSAT analyzed as a function of the Dst index to determine the first degree/order spherical harmonic description of the near-Earth external field and its corresponding induced field. The analysis was done separately for data from dawn and dusk.
Estes, R. H., Langel, R. A.
core   +1 more source

Data‐Driven Satellite Drag Modeling Without Dynamic Knowledge of the Atmosphere

Space Weather, Volume 24, Issue 2, February 2026.
Abstract Increasing congestion in low Earth orbit (LEO) from new satellite deployments and a growing debris population has made accurate orbital trajectory prediction essential for anticipating and avoiding potential collisions on a regular basis. Atmospheric drag is usually the dominant source of propagation error across much of LEO, especially during
William E. Parker, Richard Linares
wiley   +1 more source

On the uncertain intensity estimate of the 1859 Carrington storm

Journal of Space Weather and Space Climate
A study is made of the intensity of the Carrington magnetic storm of September 1859 as inferred from visual measurements of horizontal-component geomagnetic disturbance made at the Colaba observatory in India.
Love Jeffrey J., Rigler E. Joshua, Hayakawa Hisashi, Mursula Kalevi   +3 more
doaj   +1 more source

Observations of vertical winds and the origin of thermospheric gravity waves launched by auroral substorms and westward travelling surges [PDF]

Several sequences of observations of strong vertical winds in the upper thermosphere are discussed, in conjunction with models of the generation of such winds. In the auroral oval, the strongest upward winds are observed in or close to regions of intense
Rees, D.
core   +1 more source