Scientists develop a forecasting system that predicts high-risk windows and regions for solar superflares, using 50 years of X-ray data and machine learning techniques.

A peer-reviewed study published in the Journal of Geophysical Research: Space Physics has established a method to forecast ...

A team of scientists from around the world has created the first system that can predict when and where extremely powerful solar storms, called superflares, are most likely to happen. These storms can ...

To reconstruct the Sun’s polar magnetic behavior over more than 100 years, an SwRI scientist first corrected anomalies in historical data from Kodaikanal Solar Observatory (KoSO) to sync with direct ...