Probabilistic prediction of Dst storms 1-to-3 days ahead using Full-Disk SoHO Images

Geomagnetic storms pose one of the most severe space weather risks to our space borne and ground-based electronic instruments, such as GNSS and radio transmission systems. Dst is one of the most accurate geomagnetic storm indicators. Hence, those storm can be predictable if Dst can be forecasted. Currently, the best Dst model can only predict Dst in several hours. In this study, we present a machine learning based ensemble method to predict the Dst 1-3 days in advance from solar images.