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China deploys drone swarm for first full-process observation of Typhoon Noul

CGTN

China has completed its first full-process observation of a typhoon using a swarm of meteorological drones, marking the country's first use of drone swarm technology to monitor a typhoon throughout its entire passage, according to the China Meteorological Administration (CMA).

Drone swarm is deployed for observation of Typhoon Noul in Shenzhen, Guangdong Province, south China, July 26, 2026. /China Media Group
Drone swarm is deployed for observation of Typhoon Noul in Shenzhen, Guangdong Province, south China, July 26, 2026. /China Media Group

Drone swarm is deployed for observation of Typhoon Noul in Shenzhen, Guangdong Province, south China, July 26, 2026. /China Media Group

The field experiment was conducted at a CMA research base for meteorological support of low-altitude uncrewed aviation on Shenzhen's Dapeng Peninsula during the passage of Typhoon Noul.

Unlike conventional operations involving a single drone, the system deploys multiple drones equipped with meteorological sensors to carry out coordinated observations simultaneously at different locations and altitudes. The drone swarm enables high-density, three-dimensional sampling of the lower atmosphere, overcoming the limitations of single-point observations and improving data collection over coastal waters and other areas where low-altitude observations have traditionally been limited.

Throughout the experiment, researchers continuously collected vertical profiles of key atmospheric variables, including temperature, humidity, wind fields and turbulence, before, during and after the typhoon's passage. The drones also recorded operational data such as flight attitude, trajectory deviation and battery power consumption, providing valuable data for defining the meteorological limits of safe drone operations under extreme weather conditions.

The observations are expected to provide critical observational data for improving typhoon monitoring and forecasting, while also contributing to research on the operational limits of safe drone flights in extreme weather.

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