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Topology-Based Analysis for Multimodal Atmospheric Data of Volcano Eruptions
Zuse-Institute Berlin (ZIB), Berlin, Germany.
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Braunschweig, Germany.
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Braunschweig, Germany.
Zuse-Institute Berlin (ZIB), Berlin, Germany.
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2015 (English)In: Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications / [ed] Hamish Carr, Christoph Garth and Tino Weinkauf, Springer, 2015, p. 35-50Conference paper, Published paper (Refereed)
Abstract [en]

Many scientific applications deal with data from a multitude of different sources, e.g., measurements, imaging and simulations. Each source provides an additional perspective on the phenomenon of interest, but also comes with specific limitations, e.g. regarding accuracy, spatial and temporal availability. Effectively combining and analyzing such multimodal and partially incomplete data of limited accuracy in an integrated way is challenging. In this work, we outline an approach for an integrated analysis and visualization of the atmospheric impact of volcano eruptions. The data sets comprise observation and imaging data from satellites as well as results from numerical particle simulations. To analyze the clouds from the volcano eruption in the spatiotemporal domain we apply topological methods. We show that topology-related extremal structures of the data support clustering and comparison. We further discuss the robustness of those methods with respect to different properties of the data and different parameter setups. Finally we outline open challenges for the effective integrated visualization using topological methods.

Place, publisher, year, edition, pages
Springer, 2015. p. 35-50
Series
Mathematics and Visualization, ISSN 1612-3786, E-ISSN 2197-666X
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-151733DOI: 10.1007/978-3-319-44684-4_2ISBN: 9783319446820 (print)ISBN: 9783319446844 (electronic)OAI: oai:DiVA.org:liu-151733DiVA, id: diva2:1253131
Conference
TopoInVis 2015: Topological Methods in Data Analysis and Visualization IV, 20-22 May Annweiler, Germany
Available from: 2018-10-03 Created: 2018-10-03 Last updated: 2018-10-30Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf