The final software toolset allows space weather predictions ~1-2 days into the future with real confidence levels as required by project stakeholders. Novel new products released from this work are physics-improved coronal models, both coupled in a predictive software package with realistic confidence levels. These tools can be used in the future for the prediction of the impact of space weather on power grids and pipelines. This includes estimating the danger to power grids and estimating the SIR-drag on satellites. By using probabilistic predictions, driven by solar input, we significantly advance the lead time, accuracy and confidence for predictions. Additionally, the ensemble predictions are also being used for future estimation of risks of GIC and of satellite orbit tracing. This project further investigates plasma density, which is important for evaluating surface charging, as well as for scientific applications, as it controls the growth of waves and how waves interact with particles. Plasma density is also important for GPS /GNSS navigation systems. Using probabilistic predictions from our models, we are able to forecast the global cold plasma dynamics several days ahead, and also to estimate uncertainties in plasma density associated with errors in solar wind parameters. We are aiming to significantly contribute to advances in the empirical modelling of the electromagnetic environment of the Earth, allowing fast implementation and rapid calculation of the effects of quasi-linear diffusion caused by wave-particle interactions in the near-Earth environment. This project leads to an improved understanding of the electromagnetic environment and spatial structures of the Earth’s magnetosphere during various solar activity conditions. Installation of these tools in Europe will be important for future scientific and space-weather research developments in Europe. The same tools can be used in the future for the prediction of the impact of space weather on power grids and pipelines. Additionally, we apply codes for forecasting of the radiation belt and ring current electron dynamics. This provides a definitive and probabilistic forecast of electron fluxes several days into the future. We developed a new tool that allows forecasting of electron fluences along an arbitrary satellite orbit for further estimation of the deep dielectric and surface charging of satellites. Work on this project is done in close collaboration with stakeholders, obtaining valuable feedback to make the results from this project particularly valid, in a broader context. Estimates derived from our results allow the identification of the most vulnerable members of a satellite fleet and help designers and operators to develop mitigation strategies against radiation damage, as well as predict the likelihood of anomalies or failures. This project provides the most accurate-to-date forecast of surface charging and deep dielectric charging. The proposed framework allows us to increase the lead-time significantly, providing confidence levels that are needed to estimate risks and make decisions on mitigating actions.