New Probabilistic Model Maps the Sun’s Hidden Far Side for Better Space Weather Forecasts
An SwRI-led team has developed a probabilistic framework that filters out false detections in far-side helioseismic data, producing the most...
Cameron Wolfe is a Scienmag editorial specialist profile for Space Weather coverage.
An SwRI-led team has developed a probabilistic framework that filters out false detections in far-side helioseismic data, producing the most...
A new TIE-GCM study of the 2015 St. Patrick's Day storm shows that the choice of electric field driver can...
A new study shows a famous 1841 space weather delay of an Exeter train actually occurred in 1848, correcting a...
An international research team has shown that a famous 1841 account of space weather delaying a train in Exeter, England,...
George Mason University's Edward Oughton will lead a $499,837 NSF-funded collaboration to build an AI-enabled, uncertainty-aware framework linking space weather...
Researchers led by Lancaster University have shown that a famous 1841 Exeter train delay caused by space weather actually occurred...
Researchers have developed leakage-aware U-Net models that automatically segment solar filaments in ground-based hydrogen-alpha images, offering a scalable path toward...
Researchers have developed BF-TrackFormer, a bidirectional deep learning method that tracks solar filaments through splitting and fragmentation to improve space...
A landmark review details how Vlasov-based methods, and the world's first global hybrid-Vlasov magnetospheric simulation Vlasiator, are transforming our ability...
Extreme space weather could soon become an operational problem for commercial aviation, forcing airlines to reroute aircraft, restrict polar services...
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© 2025 Scienmag - Science Magazine