liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Atmospheric Impact of Volcano Eruptions
Dept. Simulation and Software Technology - German Aerospace Center (DLR), Germany.
Zuse Institute Berlin (ZIB), Germany.
Dept. Simulation and Software Technology - German Aerospace Center (DLR), Germany.
Dept. Simulation and Software Technology - German Aerospace Center (DLR), Germany.
Show others and affiliations
2014 (English)In: Proceedings IEEE SciVis 2014, Publication Server of Zuse Institute Berlin (ZIB) , 2014Conference paper, Oral presentation only (Refereed)
Abstract [en]

The analysis of data that captures volcanic eruptions and their atmospheric aftermath plays an important role for domain experts to gain a deeper understanding of the volcanic eruption and their consequences for atmosphere, climate and air traffic. Thereby, one major challenge is to extract and combine the essential information, which is spread over various, mostly sparse data sources. This requires a careful integration of each data set with its strength and limitations. The sparse, but more reliable measurement data is mainly used to calibrate the more dense simulation data. This work combines a collection of visualization approaches into an exploitative framework. The goal is to support the domain experts to build a complete picture of the situation. But it is also important to understand the individual data sources, the wealth of their information and the quality of the simulation results. All presented methods are designed for direct interaction with the data from different perspectives rather than the sole generation of some final images.

Place, publisher, year, edition, pages
Publication Server of Zuse Institute Berlin (ZIB) , 2014.
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:liu:diva-152358OAI: oai:DiVA.org:liu-152358DiVA, id: diva2:1259467
Conference
IEEE VIS 2014,9-14 November, Paris, France
Available from: 2018-10-30 Created: 2018-10-30 Last updated: 2022-03-25Bibliographically approved
In thesis
1. Exploring the Invisible: FINDING STRUCTURE IN SCIENTIFIC DATA
Open this publication in new window or tab >>Exploring the Invisible: FINDING STRUCTURE IN SCIENTIFIC DATA
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In this thesis, I present contributions towards the aim of understanding flow-related scientific data sets by communicating relation, properties, and structure. The individual papers are contributions to three different areas. First, real-world visualization challenges with domain specific tasks. The individual applications are ranging from analyzing transport behavior in a centrifugal pump, to visualization of the impact of volcano eruptions and their atmospheric aftermath, and studying circulation dynamics and eddy movements in the ocean currents of the Red Sea. Although the three individual publications target different domains, they share common demands. Furthermore, the experience shows that combining and adapting different visualization techniques to support experts is essential for these scenarios. Second, technical visualization research with a strong focus on geometry-based, interactive, and explorative techniques. In this area a new type of particle system and a novel geometry-based flow visualization technique based on evolutionary algorithms are presented. With both approaches, areas of interest can be highlighted in a semi-automatic fashion by facilitating user-defined importance measures. Lastly, a method for decoupling definition and tracking of features. Here, the development of a fast but flexible method for defining and tracking cyclonic features in pressure fields using a solid and robust mathematical basis is presented. The initial theoretical work is discussed in context of its practical applications by pointing to relevant follow-up publications.

The experience from real-world visualization tasks shows that understanding and gaining insight of scientific data with the help of visualization is an interactive, explorative, and non-linear process. Here, different methods must be combined and adapted such that they complement each other. Through this practice, relation, properties, and structure can be revealed, and a mental model can be created.

From the real-world visualization challenges and the contributions in research, demands on techniques and their embedding in a visualization toolkit can be derived. Here, the ideal software is flexible, adaptable, and allows for interactive exploration. Furthermore, the process is benefiting from a semi-automatic approach guiding the domain expert during analysis. These aspects are used as guidelines for the implementation and development work associated with the contributions of this thesis and are presented in a dedicated Chapter.

Abstract [sv]

Med denna avhandling presenterar jag bidrag som syftar till att förstå flödesrelaterade vetenskapliga datamängder genom att kommunicera relationer, egenskaper och struktur. De enskilda artiklarna i avhandlingen bidrar med kunskap till tre olika områden. Det första bidraget berör verkliga visualiseringsutmaningar med domänspecifika uppgifter. De individuella tillämpningarna sträcker sig från att analysera transportbeteende i en centrifugalpump till visualisering av effekterna av vulkanutbrott och deras atmosfäriska efterverkningar, samt att studera cirkulationsdynamik och virvelrörelser i Röda havets havsströmmar. Även om de tre enskilda publikationerna riktar sig till olika domäner delar de gemensamma krav, och erfarenheten visar att kombination och anpassning av olika visualiseringstekniker för att stödja experter i deras arbete är avgörande för dessa scenarier. Det andra bidraget är undersökning av teknisk visualiseringsforskning med starkt fokus på geometribaserade, interaktiva och utforskande tekniker. Detta bidrag presenterar en ny typ av partikelsystem samt en grupp metoder baserade på evolutionära algoritmer. Med båda tillvägagångssätten kan områden av intresse lyftas fram på ett halvautomatiskt sätt genom att underlätta användardefinierade betydelseåtgärder. Det tredje bidraget är en metod för att frikoppla definition och spårning av funktioner. Detta bidrag presenterar utvecklingen av en snabb men flexibel metod för att definiera och spåra cyklonegenskaper i tryckfält med hjälp av en solid och robust matematisk grund. Det första teoretiska arbetet sätts också i praktisk tillämpning med en uppföljande publikation.

Erfarenheterna från en verklig visualiseringsuppgift visar att förståelse och insikt i vetenskapliga data med hjälp av visualisering är en interaktiv, utforskande och icke-linjär process. Här måste olika metoder kombineras och anpassas så att de kompletterar varandra. Genom att göra så kan relationer, egenskaper och struktur i data avslöjas och en mental modell kan skapas.

Utifrån detta kan sedan krav skapas, både krav på visualiseringsteknikerna och krav på hur visualiseringsverktyg ska användas. Programvaran som används bör då vara flexibel, anpassningsbar och möjliggöra interaktiv utforskning. Dessutom drar data-analysprocessen nytta av ett halvautomatiskt tillvägagångssätt som styr domänexporten under analysen. Dessa aspekter har använts som riktlinjer för genomförandet och utvecklingsarbetet i samband med bidragen i denna avhandling.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2022. p. 123
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2192
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-183844 (URN)10.3384/9789179291266 (DOI)9789179291259 (ISBN)9789179291266 (ISBN)
Public defence
2022-04-29, Täppan - TPM55, Bredgatan 33 602 21 Norrköping, Norrköping, 13:00 (English)
Opponent
Supervisors
Available from: 2022-04-07 Created: 2022-03-25 Last updated: 2022-05-16Bibliographically approved

Open Access in DiVA

Atmospheric Impact of Volcano Eruptions(47268 kB)86 downloads
File information
File name FULLTEXT01.pdfFile size 47268 kBChecksum SHA-512
ecaaa8920ee7d0e1726eed0b67c122224b8fdd3bbc84d0be4354b14d09544324f983a1d2423d157fe335a3f7640bdb6ca75feb91db13f2af9ae138c864f11235
Type fulltextMimetype application/pdf

Authority records

Engelke, Wito

Search in DiVA

By author/editor
Engelke, Wito
Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 86 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 96 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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