Imagine if every 5G tower acted like a weather sensor. Instead of relying on a few scattered weather stations, this tech uses the tiny delays in satellite signals to create a 3D map of the air. It's like turning the existing phone network into a giant, invisible X-ray for the atmosphere.
Weather-sensitive industries lose billions due to inaccurate forecasts and the prohibitive cost of building their own observation networks. Current public data often lacks the granularity needed for precise local decision-making.
The WeatherCTScan software, which converts GNSS signal delays from 5G towers into 3D atmospheric tomography models for temperature, humidity, pressure, and wind.
If you are a crop management firm dealing with unpredictable frosts or heatwaves — this project developed WeatherCTScan software that provides granular 3D atmospheric models. This allows for more accurate planning to protect yields and reduce financial risks.
If you are a logistics operator dealing with sudden storms or snowstorms — this project developed a GNSS-based monitoring system that tracks weather parameters in real-time. This helps in rerouting fleets to avoid disruptions and save lives.
If you are a utility provider dealing with extreme weather impacting grid stability — this project developed a way to extract humidity, temperature, and wind fields from 5G base stations. This enables better decision-making for infrastructure maintenance and disaster risk management.
Based on available project data, specific pricing is not mentioned, but the system leverages existing 5G base station infrastructure to reduce the high cost of traditional weather observation hardware.
Yes, the project established production capabilities with a European manufacturing partner and expanded engagements with telecom and infrastructure partners for large-scale deployment.
Based on available project data, the core technology is the WeatherCTScan software developed by Skyfora OY, though specific licensing terms are not provided.
The software integrates GNSS signal delay data from 5G base stations with external weather datasets to produce 3D tomography models.
The project ran from February 2023 to July 2025, moving from software advancement to pilot deployments and production setup.
The project is led by a single Finnish SME, Skyfora OY, representing a 100% industry ratio. This lean structure indicates a highly focused commercial drive, moving directly from software development to manufacturing partnerships and pilot deployments without the slower pace of academic consortia.
Contact Skyfora OY in Finland for licensing of WeatherCTScan software.
Request a detailed analysis of GNSS-based weather intelligence for your sector.
