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3D Visualization with ParaView - Hands-on Workshop September 2018

ParaView is a free available 3D visualization software, which is available on the visualization nodes of Mistral. ParaView is exceptionally well suited for the visualization and analysis of regular rectilinear netCDF data sets, as well as for ICON and curvilinear MPIOM data.
When
Sep 10, 2018 to Sep 11, 2018 (Europe/Berlin / UTC200)
Where
DKRZ main seminar room 34
Contact Name
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Visualization Workshop

On Monday and Tuesday, September 10th and 11th, the DKRZ hosts a visualization workshop dedicated to the 3D visualization software ParaView. ParaView is an open source visualization package that reads a variety of different data formats and lattices and implements the most common visualization techniques. In this two day workshop we will introduce the basics, as well as some of the more advanced features of ParaView. Below are some figures that were created using ParaView and ICON HD(CP)² data (fig.1), ICON ocean data (fig.2) and MPI-OM TP6M HAMOCC data (fig.3).

HDCP2

Fig1. Display of liquid cloud water (gray volume rendering), cloud ice (purple isosurface), rain (blue isosurface) and wind magnitude (streamtubes). Note the various cloud types at different altitudes, as well as the huge cumulonimbus incus cloud in the south towards the Alps. It has a large anvil shaped ice cap and strong upward moving winds.

Monday September 10th 9.15 am -- 4:30 pm

Tuesday September 11th 9.15 am -- 4:30 pm

Where: DKRZ main seminar room 34

Bring/Prerequisites:

  • Basic Linux/Unix knowledge
  • Account on Mistral (If you don't have one: Let us know in advance!)
  • Own laptop with ssh and vncviewer installed

 

Workshop Overview:

  • Loading and working with rectilinear data, curvilinear MPI-OM data, ICON data
  • Data modification and selection (clipping, thresholds, slicing, calculator)
  • Basic and advanced scalar and vector visualization techniques (surface and volume rendering, streamlines, glyphs)
  • Data exploration and selection (scatterplots, parallel coordinates, histograms)
  • Linked and comparative views
  • Adding annotations and orography, creating animations and snapshots
  • Raytracing with OSPRay
  • Parallel visualization of extremely large data (Dyamond++)

 

We already have 25 registrations. However, you may still sign up, as usually a few drop out. If you are interested, please register for the workshop. The workshop will be limited to 25 seats. First come, first serve.

ICON Ocean

Fig2: Visualization of ICON ocean data. A selection of cells that are -1.5m and lower than average sea surface height shows a strong correlation between low temperature, high salinity and high density

 

Fig3: Visualization of MPI-OM TP6M HAMOCC data, displayed is the variable dissolved nitrate (ano3)

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