Results 71 to 80 of about 1,542 (192)

ST‐TFFM‐Observer: A Global Ionospheric TEC Prediction Model Based on Dynamic System Theory With Enhanced Time‐Frequency Dependence Modeling

Space Weather, Volume 24, Issue 6, June 2026.
Abstract ST‐Observer is a novel proposed spatiotemporal prediction model based on dynamic system theory, which has been proven to be superior to existing models in multiple spatiotemporal prediction tasks. However, its structural design results in weak time dependent modeling capabilities and a lack of frequency dependent modeling capabilities.
Liwei Sun, Haijun Liu, Huijun Le, Jing Yuan, Shijia Li, Xingyue Yao, Guoming Yuan   +6 more
wiley   +1 more source

Advancing Heliophysics and Space Weather Modeling Through Open Science

Space Weather, Volume 24, Issue 6, June 2026.
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti, M. M. Kuznetsova, M. A. Reiss, J. Yue, J. Karpen, C. N. Arge, F. Bacchini, C. Bard, S. Bruinsma, R. M. Caplan, L. K. S. Daldorff, P. J. Deka, C. R. DeVore, S. Elvidge, N. Ganushkina, J. D. Huba, B. V. Jackson, V. Jordanova, J. A. Linker, H. Liu, J. G. Luhmann, S. Markidis, P. Mayank, V. Merkin, N. Moens, D. Odstrcil, Y. A. Omelchenko, M. Palmroth, S. Poedts, A. J. Ridley, Y. Shou, V. Tenishev, D. R. Themens, G. Toth, W. Wang, R.‐P. Wilhelm, M. A. Young, B. Cecconi, M.‐Y. Chou, D. De Zeeuw, G. L. Delzanno, C. Didigu, M. El Alaoui, S. Fung, J. Green, Z. Huang, L. K. Jian, L. J. Landwer, M. Lesko, P. MacNeice, A. Masson, M. L. Mays, P. M. Mehta, M. S. Miesch, E. Palmerio, M. Petrenko, E. Provornikova, L. Rastätter, L. Rusaitis, N. Sachdeva, E. Samara, D. Sur, A. Taktakishvili, J. Topper, T. Tsui, C. Verbeke, J. Wang, C. Wiegand, M. Wiltberger, Y. Zheng, M. M. Bisi, M. K. Georgoulis, T. Kodikara, T. Pulkkinen, A. Chartier, D. da Silva, A. Faturahman, K. Garcia‐Sage, D. Kondrashov, V. E. Ledvina, W. Liu, C. Pandey, E. Resnick, C. Shi, R. S. Weigel, K. Whitman, I. Zakharenkova, K. Zhang   +87 more
wiley   +1 more source

Solar Wind–Magnetosphere–Ionosphere Coupling Under Extreme External Driving: Characteristics of Dayside Ground Magnetic Disturbances

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract The objective of the present study is to investigate solar wind‐magnetosphere‐ionosphere coupling (SWMIC) under intense external driving in terms of dayside ground magnetic disturbances. Dayside magnetic reconnection drives a region‐1 sense current system, the SWMIC current system.
Shinichi Ohtani
wiley   +1 more source

Geoelectric Field Caused by Flux Transfer Events in an Ionosphere‐Coupled Vlasiator Simulation

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract We report on the relationship between flux transfer events (FTEs) at Earth's magnetopause and the geoelectric field that is induced near the FTEs' magnetic footpoints. We study this system using the global hybrid‐Vlasov code Vlasiator, which has recently been extended to model ionospheric physics.
K. Horaites, M. Alho, Y. Pfau‐Kempf, U. Ganse, A. Workayehu, J. Suni, F. Tesema, L. Juusola, G. Cozzani, S. Hoilijoki, I. Zaitsev, S. Kavosi, M. Palmroth   +12 more
wiley   +1 more source

Statistical Properties of Small‐Scale Magnetic Flux Ropes in the Near‐Earth Solar Wind

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract We present a statistical analysis of small‐scale magnetic flux ropes (SMFRs) observed in the near‐Earth solar wind using data from the Magnetospheric Multiscale (MMS) and Wind spacecraft, identified through an automated Grad–Shafranov reconstruction technique.
Youra Shin, Hyomin Kim, Kyung‐Eun Choi, Hameedullah Farooki, Sung Jun Noh, Haimin Wang   +5 more
wiley   +1 more source

Coronal Prominence Cavities: A Survey across the Solar Cycle

The Astrophysical Journal
Coronal prominences are involved in many coronal mass ejections (CMEs), but the prominence traces only a portion of the 3D magnetic field of the core of the CME.
Urszula Ba̧k-Stȩślicka, Sarah E. Gibson, Marek Stȩślicki   +2 more
doaj   +1 more source

Solar Energetic Particle Forecasting With Multi‐Task Deep Learning: SEPNET

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Solar energetic particle (SEP) events pose severe threats to spacecraft, astronaut safety, and aviation operations. Accurate SEP forecasting remains a critical challenge in space weather research as a result of their complex origins and highly variable propagation.
Yian Yu, Yang Chen, Lulu Zhao, Kathryn Whitman, Ward Manchester, Tamas Gombosi   +5 more
wiley   +1 more source

Solar Energetic Particle Prediction in the Inner Heliosphere Using Deep Learning and PSP/IS⊙IS Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Solar events, such as coronal mass ejections and solar flares, accelerate large numbers of energetic charged particles, producing solar energetic particle (SEP) events that can harm astronauts, damage satellites, and potentially damage infrastructure on Earth.
Tate Hutchins, Spiridon Kasapis, Hameedullah Farooki, Manuel E. Cuesta, Lengying Khoo, Sungmin Pak, Robert Czarnota, Jamie Rankin, Jamey Szalay, Zigong Xu, Georgios Livadiotis, Nikolaos Sarlis, David McComas   +12 more
wiley   +1 more source

Large-scale Coronal Dimming Foreshadowing a Solar Eruption on 2011 October 1

The Astrophysical Journal
Understanding large-scale solar eruptions requires detailed investigation of the entire system’s evolution, including the magnetic environment enveloping the source region and searches for precursor activity prior to event onset.
Chunming Zhu, C. Richard DeVore, Joel T. Dahlin, Jiong Qiu, Maria D. Kazachenko, Vadim M. Uritsky, Jackson S. Vandervelde   +6 more
doaj   +1 more source

Importance of High Cadence Magnetometer Data for Investigating Geomagnetic Disturbances

Space Weather, Volume 24, Issue 6, June 2026.
Abstract Geomagnetic disturbances (GMDs) are rapid changes in the magnetic field of the Earth that may drive geomagnetically induced currents (GICs), known to cause damage to infrastructure such as power grids and pipelines. Globally, GIC measurements are often hard to obtain; therefore, GMDs are used as a proxy for GICs.
G. E. Bower, S. M. Imber, S. E. Milan, C. Beggan, J. W. Gjerloev   +4 more
wiley   +1 more source