An integrated data-driven solar wind – CME numerical framework for space weather forecasting

The development of numerical models and tools which have operational space weather potential is an increasingly important area research. This study presents recent Canadian efforts toward the a framework for Sun-to-Earth simulations solar wind disturbances. modular three-dimensional (3D) simulation based on semi-empirical data-driven approach to describe corona MHD-based description heliosphere. In present configuration, component uses field source surface (PFSS) Schatten current sheet (SCS) derive coronal magnetic observed magnetogram data. Using empirical relations, properties are associated with this field. Together mass ejection (CME) model, provides inner boundary conditions global MHD model used interplanetary propagation CMEs. proposed makes use advanced techniques. 3D code employs finite-volume discretization procedure limited piecewise linear reconstruction solve governing partial-differential equations. equations solved body-fitted hexahedral multi-block cubed-sphere mesh efficient iterative Newton method time-invariant explicit time-marching scheme applied unsteady cases. Additionally, anisotropic block-based refinement technique significant reductions in size computational by locally refining grid selected directions as dictated flow physics. capabilities accurately capturing structures forecasting at Earth demonstrated. Furthermore, comparison previously reported results future challenges discussed.