This study proves the feasibility of using the Laboratory's particle data to predict the dynamics of killer electrons. It also highlights the importance of long-term space observations in the age of AI.
The PreMevE-MEO model utilizes a sophisticated machine learning algorithm that combines convolutional neural networks with transformers, enabling high-fidelity predictions based on decades of satellite observations.
By integrating data from 12 GPS satellites in medium-Earth orbit and one Los Alamos satellite in geosynchronous orbit, the model leverages artificial intelligence to significantly improve the accuracy of space weather predictions.
The research marks a significant leap forward in protecting satellites and other space assets, especially crucial for medium Earth orbit, where many navigation and weather satellites operate.
#space-weather #machine-learning #satellite-protection #research-collaboration #artificial-intelligence
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