NASA builds computer model with AI that predicts solar storms

The US National Aeronautics and Space Administration (NASA) has announced a new computational model that can detect. solar storms combining artificial intelligence (AI) and space agency data. The model sends up to 30 minutes of advance notice of storms that are about to happen.

Using data from solar flares captured by satellites and solar disturbances observed by ground stations, the computational model DAGGER (Deep Learning Geomagnetic Perturbation) combines artificial intelligence with data obtained by NASA in recent years to predict geomagnetic events and provide precise and precise predictions. speed.

In an article about the computational model published in the scientific journal Space Weatherresearchers explain that The method uses machine learning to analyze data from ground stations around the world and identify geomagnetic storms.. The technology was developed by a team of scientists from the Frontier Development Lab, a joint project between NASA, the Department of Energy, and the United States Geological Survey.

predicting solar storms

Lead author of the study on the DAGGER model, Dr. . Vishal Upendran.

A solar or geomagnetic storm is a disturbance in the Earth’s magnetosphere caused by waves of the solar wind interacting with the Earth’s magnetic field. These storms can cause a variety of consequences, such as power distribution failures, satellite outages, among other effects.

DAGGER’s function is to combine different NASA data to provide an estimate of the affected area and allow those responsible for the area to make adequate preparations – for example, one solution could be to temporarily shut down systems and equipment sensitive to geomagnetic events. .