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| Titel |
Comparative Visualization of Climate Simulation Data |
| VerfasserIn |
Niklas Röber, Karin Meier-Fleischer, Michael Böttinger |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250098263
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| Publikation (Nr.) |
 EGU/EGU2014-13927.pdf |
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| Zusammenfassung |
| Visualization is the process of transforming abstract (scientific) data into a graphical
representation, to aid in the understanding of the information contained within the data.
Climate data sets are typically quite large, time varying, and consist of many different
variables that are sampled on an underlying grid. A variety of different climate models – and
sub models – are developed to simulate the climate system and its components, such as the
physics of the atmosphere and the ocean, marine biogeochemical processes and the land
biosphere.
Visualization software is used to assist in the process of visualization and data analysis by
transforming the abstract numerical information into a graphical illustration. Different
approaches exist in the design of visualization software and for the process of visualization
itself, depending on the type and nature of the data as well as on the visualization
goal.
In addition to a large high performance compute cluster that is exclusively used for
climate simulations, the German Climate Computing Centre (DKRZ) also hosts a dedicated
visualization cluster for post-processing, data analysis and visualization. On this visualization
server, a variety of software is installed to assist the user in the data visualization task.
Amongst others, the software stack includes Avizo Green, CDO, NCL, Paraview and SimVis.
Each tool has its own strengths and weaknesses, and is selected by the user with regard to the
visualization goal. While Avizo Green is great for visualizing the data out of the
box, SimVis and Paraview are better suited for an interactive and explorative data
analysis.
This PICO presentation uses several different visualization solutions – among them Avizo
Green, NCL, Paraview and SimVis – to analyze and visualize the same climate data set. We
will thereby explicitly focus on each software’s strengths, and not highlight its weaknesses.
This PICO interactively shows that – depending on the visualization tool used – not only are
different visualizations created, but also different visualization stories can be told. |
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