The thesis compares two different methods for tracking and moving field lines. The first method included tracing one field line and moving each individual vertex along its own path with path following. The second method was done by tracing new field lines and using linear interpolation to move the field lines. The results show that the first method was incapable of rendering the field lines correctly due to the complexity and non-linearity of Earth's magnetic field. While it was successful at animating the initial motion of the field lines, it was not able to demonstrate the field line's change in topology. The second method was able to solve this issue, correctly visualizing field lines in motion, including changes in topology. However, the solution is limited in that it assumes that the vector field is static, which is not the case. To improve the visualization, a method for tracing and tracking field lines through multiple datasets is required. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>

This thesis details work carried out by two students working as contractors at the Community Coordinated Modelling Center at Goddard Space Flight Center of the National Aeronautics and Space Administration. The thesis is made possible by and aims to contribute to the OpenSpace project. The first track of the work implemented is the handling of and putting together new data for a visualization of coronal mass ejections in OpenSpace. The new data allows for observation of coronal mass ejections at their origin by the surface of the Sun, whereas previous data visualized them from 30 solar radii out from the Sun and outwards. Previously implemented visualization techniques are used together to visualize different volume data and fieldlines, which together with a synoptic magnetogram of the Sun gives a multi-layered visualization. The second track is an experimental implementation of a generalized and less user involved process for getting new data into OpenSpace, with a priority on volume data as that was a subject of experience. The results show a space weather model visualization, and how one such model can be adapted to fit within the parameters of the OpenSpace project. Additionally, the results show how a GUI connected to a series of background events can form a data pipeline to make complicated space weather models more easily available.