The year 2023 has seen some of the most intense solar storms in the last decade. We have seen two G4-class solar storms, multiple G3-class storms and a multitude of solar flare-related radio blackouts. Astronomers have realized that the next catastrophic solar storm event may not be too far away. But with how things are, there is not much we can do about it. While NASA has its own prediction models, their accuracy is not too high. In fact, in most cases, we cannot correctly predict when the storm will strike till it has already hit the Earth. But that is about to change, with a new technology NASA has jointly developed with the U.S. Geological Survey and the Department of Energy at the Frontier Development Lab. NASA calls it DAGGER and it runs on AI and machine learning.
Short for Deep Learning Geomagnetic Perturbation, DAGGER, collects data from various space satellites that are monitoring the Sun and the ground-based observatories that are looking for geomagnetic storms. This huge set of data goes into training the AI through a technology called ‘deep learning'. Essentially it is a type of machine learning where the system learns patterns around how changes in the Sun and explosions of coronal mass ejection (CME) can lead to a certain intensity of solar storm on the Earth. This pattern recognition is the key to DAGGER's prediction abilities.
And NASA is betting big on this model. In a statement, the space agency said, “(DAGGER) can quickly and accurately predict geomagnetic disturbances worldwide, 30 minutes before they occur. According to the team, the model can produce predictions in less than a second, and the predictions update every minute”.
The team responsible for building DAGGER has been building this
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