Meteomatics x AIR Lab: Exploring Weather Forecasting for ATM
15 November 2024
AIR Lab partnered with Meteomatics to develop SING1K, a hyper-local weather forecast model delivering 1×1 km resolution data for Singapore's airspace integrated into the Regional Collaboration Platform.
Weather significantly impacts air traffic efficiency, with adverse conditions causing delays, reroutings, and capacity reductions that cost the aviation industry billions annually.
AIR Lab partnered with Meteomatics to investigate how hyper-local weather forecasting could integrate into ATM decision-making through the Regional Collaboration Platform (RCP).
The collaboration produced SING1K, a specialized weather forecast model delivering 1×1 km resolution data across Singapore’s airspace—unprecedented precision for regional air traffic controllers. The system offers high-resolution precipitation forecasts, wind shear detection, turbulence probability mapping, and RCP live data integration.
By embedding SING1K into the RCP, air navigation service providers can access weather intelligence alongside traffic data, enabling improved decisions regarding routing, sequencing, and capacity management.
According to Meteomatics leadership, “This collaboration marks a significant advancement in weather forecasting for ATM in Singapore” using advanced technology to enhance safety and reduce weather-related risks.
AIR Lab and Meteomatics are refining the model and exploring extensions to neighboring Flight Information Regions across Southeast Asia as additional ANSPs adopt the RCP platform.