- 1University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom
- 2Riskaware, Bristol, United Kingdom
- 3Innovspace, Oxford, United Kingdom
Space weather affects a wide range of commercial and critical infrastructure systems, yet the availability, suitability, and usability of space-weather data products vary significantly across application domains. The focus of this work is to perform a structured assessment and mapping of existing and emerging space-weather datasets and services, to technical requirements derived from user needs identified through stakeholder engagement. This project is part of the Space Weather Infrastructure Impact Forecasting Tool (SWiiFT) project, a feasibility study funded by the European Space Agency. SWiiFT aims to improve the resilience of businesses to the physical, systemic, and financial impacts of space-weather events. Engagement with key stakeholders from organisations operating in the insurance, GNSS-dependent services, and power-grid sectors is used to identify specific customer needs for real-time alerting, historical analysis, and short- and long-range forecasting. Relevant technical requirements are derived from these needs, and the data pathways required to deliver them are mapped. This mapping considers multiple data layers and types, from solar activity observations, through to alerting and forecasting data services. By identifying strengths, limitations, and integration challenges across these data pathways, this work provides necessary inputs to risk-modelling service concepts tailored to stakeholder-defined needs. These service concepts intend to provide a foundation for improving the practical application of space-weather data in commercial risk contexts, with the goal of enhancing preparedness and situational awareness across commercial applications.
How to cite: Aplin, K., Higgins, J., Pinto Jayawardena, T., Berthoud, L., Adams, H., Iwanoczko, A., Jackman, S., and Pine, S.: Assessment and Mapping of Space-Weather Data Products for Risk Modelling Applications, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19508, https://doi.org/10.5194/egusphere-egu26-19508, 2026.