Drones could help weather forecasters more accurately predict winter storms

Weather drones are being explored as a means to enhance the accuracy of winter storm predictions, potentially allowing for more timely preparation. As Europe anticipates an unusually warm El Niño-induced winter, meteorologists are seeking advanced tools to improve forecasting capabilities. Financial traders have already shown interest in drones due to their ability to gather real-time data on weather conditions, which is crucial for predicting fluctuations in renewable energy generation.

U.S. researchers have demonstrated that drones can collect valuable information on air pressure and wind speed, aiding in the rapid forecasting of extreme weather events. The U.K. is pushing the boundaries of this technology by deploying drones to gather data within clouds, which play a critical role in various weather phenomena.

In 2024, the World Meteorological Organization showcased the potential of drone technology during a demonstration, focusing on measuring temperature, wind speed, and the lower atmosphere. These drones could be integrated into a network of stations, similar to traditional weather balloon stations, but with the advantage of providing data more frequently and efficiently.

A new research project, Drone Observation Of Clouds (DOOC), led by the University of Leeds, is investigating the feasibility of incorporating drone-based measurements into weather forecasting. The project aims to measure cloud properties, which are among the most uncertain factors in weather and climate prediction. Over the course of a year, from June to November 2026, DOOC has been flying drones in a narrow column of airspace in Yorkshire, U.K., to collect precise data on temperature, humidity, wind, and cloud particles.

This small but strategic area allows for vertical measurements from the ground up to 1,600 meters (5,250 feet), enabling the drone to capture detailed atmospheric conditions at various heights. The project's success hinges on the development of a specialized particle counter that can accurately measure cloud droplet size and concentration.

Once proven effective, DOOC could contribute to the next wave of advancements in AI-based weather forecasting, which relies heavily on high-quality atmospheric data. While the technology shows promise, regulatory support and infrastructure investment will be essential to facilitate the widespread deployment of drones for meteorological research.