Speaker
Description
ESA NoM (ESA Network of Models) is a unified data engineering platform that bridges the gap between space weather forecasting centers and end-users through automated model pipelines and standardized alert delivery. Building on its proven capabilities for model integration and collaborative workflows, ESA NoM addresses the critical need for timely, actionable space weather information during high-impact events.
The platform's service-oriented architecture enables operational centers to create automated alert pipelines by chaining diverse space weather models through directed acyclic graph workflows. Real-time data integration triggers model execution automatically, generating sector-specific alerts for critical infrastructure including aviation, satellite operations, and power systems. Standardized APIs ensure seamless integration with existing user platforms and decision-making tools.
Key operational features include scheduled and event-driven pipeline execution, configurable alert thresholds, cross-platform compatibility, and built-in monitoring with usage statistics. The platform's modular design supports both cloud and on-premise deployments, ensuring service reliability during extreme space weather periods when rapid response is essential.
ESA NoM's integration with ESA's Space Weather Payload Data Centre (SWE PDC) would enhance the planned alerting service through ensemble-based forecasting and automated processing workflows, supporting the two-way communication channels vital for effective space weather services.
This poster demonstrates operational alert pipeline configurations and discusses implementation strategies for improved service responsiveness to end-user needs.
