Data assimilative Modelling of Plasmasphere and Space Weather Events in the PLASMON Project

The PLASMON FP7-Space (A new, ground based data-assimilative model of the Plasmasphere - a critical contribution to Radiation Belts modeling for Space Weather purposes) project develops a new data assimilative model to provide near real-time monitoring capability of the densities in the Plasmasphere for modelling Space Weather events. The data assimilative modeling is based on two existing global measuring networks, AWDANet measuring VLF whistlers and EMMA measuring ULF FLRs. A third network, AARDDVARK monitors precipitating particles from the Radiation Belts through VLF signal perturbations. The ground based density data are integrated into a data-assimilative model of the Plasmasphere, which is in turn used to compare model predictions on relativistic electron precipitations with measured data. The expected final model can serve as a basic tool to monitor the local space environment as well as key data for modelling generation and loss of energetic charged particles. The paper describes the latest advances of the project.