Data as a Service in Space Weather

Space weather is the manifestation of complex interactions and phenomena that span the sun-to-mud system, producing critical risks to our technologically-dependent space-faring lifestyle. To quantify space weather, information from a diverse suite of instruments on Earth and in space must be integrated. Existing space weather monitoring and prediction systems have not achieved the sophistication (in integration, analytics, and visualization) required for our society's needs. We share the results of a new integrated space weather data analytics platform that spans data collection, management, analysis, and visualization/integration. Our system takes advantage of cutting-edge tools from industry to integrate >10 physics-based and machine learning models, data sets that span the solar wind, magnetosphere, and the ionosphere. Our system harmonizes data, tools, and computational resources needed by the space weather community. We demo our system and detail our approach to integration through the concepts of analysis-ready data, data flow, and model hierarchies that will be a guide to all space weather analysis systems, both now and into the future. By using cutting edge technology our system is designed to cultivate the methods in which we provide insight into space weather. Our integration efforts come as an opportunity to provide data as a service (DaaS) capable of progressing the research and development within this community.