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Implementing an Interactive Simulation Data Pipeline for Space Weather Visualization
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

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.

Place, publisher, year, edition, pages
2018. , p. 35
Keywords [en]
OpenSpace, NASA, solar data, volume rendering, data loading, data pipeline, GUI, fieldlines, data visualization, space exploration, thesis
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-162477ISRN: LIU-ITN-TEK-A-018/044--SEOAI: oai:DiVA.org:liu-162477DiVA, id: diva2:1375791
Subject / course
Media Technology
Uppsok
Technology
Supervisors
Examiners
Available from: 2019-12-06 Created: 2019-12-06 Last updated: 2019-12-06Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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