Towards a Modernized Post-Processing System to Support the Transformation of MSC's Forecasting and Services

The Meteorological Service of Canada's (MSC) numerical weather and environmental prediction system must constantly adapt to meet evolving client needs. It must also aim to integrate the increasing pace of scientific and technological innovation and the phenomenal growth in the volume of information produced. Information from high-resolution numerical prediction systems, ensemble prediction systems and environmental prediction systems is increasingly available, and significant work is underway to achieve a much higher inclusion of this information into MSC’s routine forecast production process.

This presentation will provide an overview of the on-going transformation to the weather & environmental elements production system taking advantage of the entire suite of Canadian NWEP models and advanced AI/ML methods. Weather & environmental elements used in forecast production in support of different forecasting programs such as Public, Marine, and Air Quality are now available on a grid instead of only being available at specific geographical points. This improved offering and packaging of post-processed model data is key to support the broader transformation of MSC Services, including efforts to increase automation where appropriate in the forecast production process. This approach allows the forecast to be produced at any point and enables flexible integration of detailed information, including uncertainty, making it easier to adapt products to a wide range of user needs.