A China-led research team developed a new deep-learning system designed to automatically detect and track space hurricanes. These atmospheric phenomena occur in the Earth’s upper atmosphere and are known to disrupt satellite signals, radar, and radio communications.

Previously, identifying these events required the manual and tedious analysis of satellite imagery. The newly developed system utilizes ultraviolet images to pinpoint space hurricanes, offering a potential method to analyze data from a newly launched China-Europe satellite mission.

Researchers published their findings on May 23 in the peer-reviewed journal Space Weather. The team describes a space hurricane as a massive, spinning aurora located near Earth’s magnetic poles, sharing naming conventions with tropical cyclones found in the north Atlantic and Pacific regions.

A China-led research team developed a new deep-learning system designed to automatically detect and track space hurricanes. These atmospheric phenomena occur in the Earth’s upper atmosphere and are known to disrupt satellite signals, radar, and radio communications.

Previously, identifying these events required the manual and tedious analysis of satellite imagery. The newly developed system utilizes ultraviolet images to pinpoint space hurricanes, offering a potential method to analyze data from a newly launched China-Europe satellite mission.

Researchers published their findings on May 23 in the peer-reviewed journal Space Weather. The team describes a space hurricane as a massive, spinning aurora located near Earth’s magnetic poles, sharing naming conventions with tropical cyclones found in the north Atlantic and Pacific regions.