Progress on Weather, Climate and Environmental Data Exploitation Platforms from the Meteorological Service of Canada

In the current context, national weather services are faced with the challenges of big data, driven by the increasing volume, variety and update frequency of meteorological observations and model outputs. The need to efficiently process and integrate these massive datasets into user-friendly data platforms for timely decision-making and public dissemination is more pressing than ever.

The Meteorological Service of Canada (MSC) provides numerous data dissemination services catering to various domains (weather, climate, water) using international standards and various access mechanisms. This presentation will outline the current status of services and datasets provided.

In addition, new and planned capabilities will be described, in support of data access and exploitation paradigms, such as discrete sampling of multidimensional data and bringing the user to the data.

The presentation will also provide an overview of MSC’s progress towards the implementation and operational deployment of data exploitation platforms in a cloud environment, architecture and paradigm, bringing benefits in terms of automation, scalability, and cost efficiency.

Finally, additional capabilities will be presented in support of MSC’s international data exchange commitments via the WMO Information System (WIS2), allowing for low barrier data discovery and exchange of information through event-driven systems.