Geomagnetic Storm

Geomagnetic storms, caused by solar wind interactions with Earth's magnetosphere, disrupt technological infrastructure and pose significant risks to society. Current research focuses on improving the accuracy and lead time of storm prediction using advanced machine learning models, such as neural networks (including hybrid classical-quantum and physics-informed architectures), and leveraging diverse data sources including solar wind measurements, solar imagery, and ground-based magnetometer readings. These efforts aim to enhance space weather forecasting capabilities, enabling better mitigation strategies for protecting critical infrastructure and improving our understanding of the Sun-Earth connection.