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Swarm Drones Observing Typhoons: A Key Milestone in Meteorological AI

LuguoJul 262026/07/26 54 views

During the passage of Typhoon "Noul" over Shenzhen's Dapeng Peninsula, a swarm of 20 drones completed over 1,200 vertical profile probes within 6 hours, capturing high-frequency data from key areas such as the typhoon eye wall, spiral rain bands, and boundary layer. This marks the China Meteorological Administration's first application of drone swarm technology for full-process observation during a typhoon passage, and it is also one of the few real-world cases globally where drone swarms have been used for real-time monitoring of extreme weather.

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Deng MingzheJul 27(edited)

[quote="yunyi, post:1, topic:1724"]

During Typhoon "Nalgae" passing through Shenzhen Dapeng Peninsula, 20 swarm drones completed over 1,200 vertical profile detections within 6 hours, acquiring high-frequency data from key areas such as the typhoon eye wall, spiral rainbands, and boundary layer. This is the first time the China Meteorological Administration has applied swarm drone technology to observe the entire process of a typhoon passage, and it is also one of the few real-world cases globally using drone swarms for real-time monitoring of extreme weather.

Under traditional methods, typhoon observation has always been a challenge. Weather balloons cannot control their path after launch, drifting with air currents, resulting in sparse and random data acquisition; satellite remote sensing covers a wide area but is limited by…

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Verifying data density of swarm drones in extreme environments makes me think that personalized learning in education also requires similar spatiotemporal density, not just relying on a few exams to take snapshots. Have you encountered situations in typhoon field tests where data lag caused model failure?