Scientific Visualization is the process of creating visual imagery from raw scientific data. NERSC supports the VisIt and Paraview tools for visualizing and interacting with generic scientific datasets. NCAR Graphics Library is provided (as a specialized package) for climate data.
The field of information visualization deals with rendering datasets that do not necessarily map onto a natural 2D or 3D co-ordinate system. R (ggplot2) and python (matplotlib) provide capabilities for information visualization.
ParaView is an open-source, multi-platform data analysis and visualization application. Data exploration can be done interactively in 3D or using batch processing. It was developed to analyze extremely large datasets using distributed memory computing resources and runs on supercomputers well as on laptops. Read More »
VisIt is a point-and-click 3D scientific visualization application that supports most common visualization techniques (e.g., isocontouring and volume rendering) on structured and unstructured grids. Due to its distributed and parallel architecture, VisIt is able to handle very large datasets interactively. In addition, VisIt is extensible, allowing users to add data loaders or additional analysis tools to VisIt. The NERSC Analytics Group has developed extensions to VisIt to support NERSC user applications, and coordinates with the VisIt development team to add these extensions to the main VisIt development code branch. Read More »
NCAR Graphics is a collection of graphics libraries that support the display of scientific data. The low-level utilities (LLUs) are the traditional C and Fortran interfaces for contouring, mapping, drawing field flows, drawing surfaces, drawing histograms, drawing X/Y plots, labeling, and more. The NCAR Command Language (NCL) is a full programming language used for data selection, manipulation, and display. Read More »