Russian Scientists Use AI to Deliver Hyperlocal Weather Forecasts
A new AI-powered platform developed in Russia can downscale large-scale meteorological data to predict weather conditions at the level of individual streets, courtyards, and even buildings.
Researchers at the Artificial Intelligence Institute of the Moscow Institute of Physics and Technology (MIPT) have developed a climate analysis platform capable of generating highly accurate, hyperlocal weather forecasts. According to reports from Izvestia, the system uses advanced downscaling technology that transforms citywide forecasts into detailed predictions for specific neighborhoods by integrating data from cameras, weather stations, sensors, and utility monitoring devices.
From Citywide Forecasts to Street-Level Precision
The AI model focuses not only on everyday weather patterns but also on extreme events—hurricanes, strong winds, and intense rainfall—that frequently lead to emergencies. Hyperlocal forecasting enables utility services to prepare in advance, preventing infrastructure failures and improving safety for residents.
A Tool for Prevention and Planning
The platform can be used not only by emergency and utility services but also by urban developers who need to evaluate how the construction of new buildings impacts the microclimate of specific districts.
To improve accuracy, the AI continuously analyzes the relationships between atmospheric processes and environmental parameters—high-rise buildings, asphalt surfaces, and green zones—at a given point. All potential risks are visualized on an interactive map, creating a practical tool for real-time monitoring.
