Improving forecast accuracy with mLM: methodology, verification and real-world applications
Meteoblue and Windy are working together to make high-quality weather information accessible and actionable for a broad range of users. In this session, meteoblue will explain how its mLM forecasting methodology combines nowcasting, multi-model blending, downscaling and other advanced techniques to deliver accurate, locally relevant weather forecasts.
The session will present verification results comparing mLM forecasts with individual weather models, providing insights into forecast performance and the added value of combining multiple data sources and forecasting methods.
Practical use cases will demonstrate how mLM forecasts are integrated into Windy’s products and applied to urban climate management, farming and critical infrastructure. Examples from the energy, road, airport and port sectors will illustrate how reliable weather intelligence can help organisations anticipate risks, optimise operations and make critical business decisions with greater confidence.






