Abstract Space weather events, including solar flares, coronal mass ejections, and
geomagnetic storms, have significant effects on various transportation systems. This review …

For accurate and timely space weather forecasting, advanced knowledge of the ambient
solar wind is required, both for its direct impact on the magnetosphere and for accurately …

In order to solve the design requirements of high stiffness and lightweight for the primary
support structure of a wide-field auroral imager, we propose a solution for designing and …

Extreme space weather events can have large impacts on ground-based infrastructure
important to technology-based societies. Machine learning techniques based on …

Understanding of Earth's geomagnetic environment is critical to mitigating the space
weather impacts caused by disruptive geoelectric fields in power lines and other conductors …

Abstract Geomagnetically Induced Currents (GICs) are a severe space weather hazard,
driven through coupling between the solar wind and magnetosphere. GICs are rarely …

Abstract EUropean Heliospheric FORecasting Information Asset (EUHFORIA) is a physics‐
based data‐driven solar wind and coronal mass ejections (CMEs) propagation model …

The prediction of large fluctuations in the ground magnetic field (dB/dt) is essential for
preventing damage from Geomagnetically Induced Currents. Directly forecasting these …

Structure functions, which represent the moments of the increments of a stochastic process,
are essential complementary statistics to power spectra for analysing the self-similar …

All artificial intelligence models today require preprocessed and cleaned data to work
properly. This crucial step depends on the quality of the data analysis being done. The …