Protecting the Earth: NASA develops warning for lethal solar storms

Over time, scientists have repeatedly addressed the dangers of solar storms. However, in recent months, we have expanded our coverage to include stories involving the growing presence of artificial intelligence (AI) in various industries. This theme has resurfaced, gaining prominence in discussions about technology.

The application of Artificial Intelligence (AI) models to solar storm data has been an area of ​​great interest for the NASA team.

Its goal is to develop an early warning system that could provide approximately 30 minutes of advance before a potentially catastrophic solar storm hits a specific area of ​​the planet.

This waiting time is due to the fact that light can travel faster than solar material ejected from the Sun in the case of these solar storms. NASA explains that 35 years ago, Quebec happened and the energy was out of the air for some time. That's why science has been preparing for more!

NASA uses detector to stop deadly advance of solar storms

Extreme events, such as the Carrington event that occurred over 150 years ago, serve as a reminder the daunting potential of solar storms on electrical and communication. Scientists have been dedicated to addressing this challenge, and we currently have a network of satellites dedicated to continuous observation of the Sun.

These satellites play a crucial role in detecting and monitoring solar flares, providing valuable data for early warning and damage mitigation. Through these efforts, scientists are committed to protecting our infrastructure and ensuring the security of modern technology in the face of threats from space.

Indeed, obtaining reliable data is essential for the development of effective predictive models. In the case of the study of solar storms, satellites such as ACE, Wind, IMP-8 and Geotail play a role fundamental in collecting valuable data on the behavior of the Sun and the characteristics of storms solar.

This information is then used by the NASA team to train and improve predictive AI models, allowing them to identify patterns and develop early warnings for potentially damaging solar storms. dangerous. Predicting these solar storms at a local level is vitally important.

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