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Vis Blog

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In our DKRZ Vis Blog you may find new information concerning the different software packages for visualization and data analysis that are provided and supported by DKRZ. We intend the blog to be a less formal way to complement our documentation with helpful tips and tricks, solutions, workarounds, and more, primarily with regard to NCL, ParaView, PyNGL, and Python.

 


 

Box stripes plot with NCL

Box stripes plot with NCL

Dieser Inhalt ist nur auf Englisch verfügbar

12.06.2020: Many of you will be familiar with the impressive images of Ed Hawkins' website http://www.climate-lab-book.ac.uk/. The famous "Warming Stripes" presentation is quite simple as it just maps 1d temperature data to colored stripes. In comparison with the usual presentation method for this type of data (i.e. xy plots), this visualization raises the interest of the viewer as it appears to be artful and new. Whether warming spirals or box stripes, this new visualization design with its strong colors is fascinating. With this blog article we'd like to give an example of how you could create your own box stripes plots with NCL. However, here we combine several box stripe plots to give an example of the visualization of categorical time-dependent data.

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Masking with Shapefiles

Masking with Shapefiles

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17.04.2020: Gridded model data usually lack information such as to which country grid boxes belong. Such social or political information is available as vector data, i.e. line segments that enclose the respective areas. One common format for this is the "ESRI shapefile". How to use such shape information in data analysis and visualization with NCL and outside of Geographic Information Systems (GIS) is described in this article, more specifically how to convert ESRI shapefiles into NetCDF and how to properly work with them.

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