Detailed rainfall patterns with high resolution are difficult to monitor with existing technologies (radar, satellite and gauges).
Ericsson and SMHI leveraged cellular network data to measure rainfall in real time, utilizing signal disturbances in microwave links. By applying an algorithm, these disturbances can be used to measure exactly how much rain has fallen between two points on a microwave network.
Ericsson Weather Data creates detailed and cost-efficient rainfall and flood predictions using the existing telecom infrastructure. Potential use cases include climate mitigation efforts, flood prevention in sewage and stormwater systems in cities, agriculture, transport solutions, tourism, insurance, weather agencies and water utilities.
Supporting the Sustainable Development Goals
The highlighted Sustainable Development Goals are included in the project.
“This project is a school book example of how collaboration between different organizations and industries should work. There are a lot of applications for this solution: micro-insurance in developing countries, flood warnings, and the ability to predict malaria outbreaks.”
- Jonas Hansryd, Head of Microwave Research