The article you shared discusses a new (AI) tool that can forecast solar storms with a 30-minute lead time.
This tool has been developed by researchers at the National Center for Atmospheric Research (NCAR) and the University of Colorado Boulder, and it uses data from satellites to detect and analyze changes in the sun's magnetic field.
Solar storms can have a significant impact on Earth's technology, such as causing disruptions in communication systems, power grids, and navigation systems. Therefore, being able to predict when a solar storm is about to occur can be very helpful in minimizing these impacts.
The AI tool works by using machine learning algorithms to analyze data from multiple sources, including NASA's Solar Dynamics Observatory and the Geostationary Operational Environmental Satellite (GOES). By combining data from these sources, the tool can provide a more accurate forecast of when a solar storm is likely to occur and how strong it will be.
According to the researchers, this new AI tool represents a significant improvement over previous methods of predicting solar storms, which often relied on manual analysis of data and were not as accurate or reliable. The tool is still in the experimental stage, but the researchers hope that it will eventually be incorporated into operational forecasting systems used by government agencies and other organizations.
How NASA is using artificial intelligence (AI) to better understand and predict the effects of solar storms.
Solar storms, which are caused by eruptions on the surface of the sun, can have a major impact on Earth's technology, including causing power outages and disrupting communication systems. NASA is particularly concerned about the potential effects of a severe solar storm, which could cause significant damage to infrastructure and even threaten human lives.
To better understand and predict the effects of solar storms, NASA is turning to AI. The agency has partnered with the University of California, San Diego to develop a new AI-powered model that can simulate the impact of solar storms on the Earth's magnetosphere.
The model uses machine learning algorithms to analyze data from a variety of sources, including NASA's Solar Dynamics Observatory and the Advanced Composition Explorer spacecraft. By combining this data with information about the Earth's magnetic field and other factors, the model can generate more accurate predictions of the effects of solar storms.
NASA believes that this new AI-powered model will be a valuable tool in its efforts to prepare for and mitigate the effects of solar storms. With the help of AI, the agency hopes to better understand these powerful natural phenomena and develop strategies to protect critical infrastructure and keep people safe.