Current space weather models are generally not capable of forecasting events over several days. A longer forecasting horizon would require access to data from new observation infrastructure coupled with new and improved modelling capabilities
– New modelling including ab-initio simulations
– Development of modelling capabilities and/or the delivery of prototype services able to interpret a broad range of observations of the Sun’s corona and magnetic field, of the Sun Earth interplanetary space and of the Earth magneto/iono/thermo-sphere coupling relying on existing observation capacities
– Validate and harmonize the currently available data from existing services and identify gaps in data and model availability
– Training of models using deep-learning techniques
– Inventory of potential early indicators of extreme space weather events
– Complementary and coherent activities with ESA
– On ground demonstration tests
– Ground instruments: densification of ground instrument networks and development/improvement of new instrument concepts
– Complementary and coherent activities with existing space weather services
– Prepare Europe for a full exploitation of space weather data by a renewed effort on modelling and forecasting using currently available data
– Develop concepts to provide space weather data, forecasts and warnings
– Improve scientific understanding of the origin and evolution of space weather phenomena
– Improving SWE restitution and prediction capabilities using artificial intelligence / deep learning techniques
– Develop new services for both scientific purposes and terrestrial infrastructure monitoring
– Acceleration innovation of enabling technologies
