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New Delhi, March 31 (). In the wake of increasing solar storms, a team of international researchers including India has partnered with NASA to develop a new computer model that combines artificial intelligence (AI) and satellite data to sound alarms for dangerous space weather.
Scientists predict an increase in solar storms as the Sun approaches its peak of activity, which occurs every 11 years, and is expected to occur sometime in 2025. The effects of these magnetic storms can range from mild to extreme, but in a world increasingly dependent on technology, their effects are becoming more disruptive than ever.
The new model uses AI to analyze spacecraft measurements of the solar wind (the incredible stream of material from the Sun) and predict where an impending solar storm will hit anywhere on Earth with 30-minute advance warning.
This can provide enough time to prepare for these storms and prevent serious impacts on the power grid and other critical infrastructure. With this AI, it is now possible to make rapid and accurate global predictions and inform decisions in the event of a solar storm, said Vishal Upendran of the Inter-University Center for Astronomy and Astrophysics (IUCAA) in India, which will lead to major challenges facing modern society. The impending catastrophe can be reduced or even prevented.
The team of researchers at the Frontier Developments Laba public-private partnership that includes NASA, the US Geological Survey, the US Department of Energy, and IUCAAapplied Deep Learning, an AI method, and developed DAGGER (formally, Deep Learning Geomagnetic Disturbances) developed a computer model called
DAGGER, detailed in the journal Space Weather, can quickly and accurately forecast worldwide geomagnetic disturbances up to 30 minutes before they occur. It can make predictions in less than a second, and predictions are updated every minute. With models like DAGGER, the researchers said, there could one day be solar storm sirens that sound the alarm at power stations and satellite control centers around the world.
The DAGGER team tested the model against two geomagnetic storms that occurred in August 2011 and March 2015. In each case, DAGGER was able to quickly and accurately forecast storm impacts around the world. DAGGER is the first to combine AI’s fast analysis with real measurements from space and across Earth to generate updated predictions that are both quick and accurate for sites around the world.
The computer code in the DAGGER model is open source, and according to Upendran, it can be adapted by power grid operators, satellite controllers, telecommunications companies, and others to help them implement forecasts for their specific needs. Such warnings can give them time to take action to protect their assets and infrastructure from an impending solar storm, such as temporarily taking sensitive systems offline or moving satellites into different orbits to minimize damage. Carry.
KC/ANM
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