Speaker
Description
As the Met Office retires legacy deterministic data feeds and moves towards ensemble forecasting, a challenge arises in maintaining delivery of spot forecast products, including those supporting renewable energy applications. Rather than replicating existing data feeds, a new project is taking a fresh approach to understand requirements. Starting with plain-English questions to understand how each product supports decision-making and what behaviour it aims to capture, key scientific characteristics (such as inter-parameter consistency, temporal consistency, and accuracy metrics) were identified. These characteristics inform the design of modular post-processing components, which will be deployed in cloud-based pipelines to deliver forecasts tailored to user needs. This method enables more flexible, purposeful forecasting and supports the transition to modern, scalable systems. Examples will be presented to illustrate the approach and its benefits.
