ParaView for Climate Science

The field of earth and environmental sciences is rapidly adopting the paradigm of large-scale, data-intensive analytics to understand our complex and ever-changing planet. Advances in sensing technologies, modeling and simulation, data storage, compute capabilities, and sophisticated software have all increased the size, complexity, and variety of data analyzed in this area. ParaView was developed to handle extremely large datasets on high performance computers and so is particularly useful for this scientific community. For instance, the Ultrascale Visualization and Climate Data Analysis (UV-CDAT) project is using ParaView in conjunction with other open-source tools to create a robust application for analyzing and visualizing remote and local climate data sets.

Visualization of MIT General Circulation Model data showing surface temperature, VHEr and bathymetry.

Visualization of MIT General Circulation Model data showing surface temperature, VHEr and bathymetry.
Image curtesy Sean Ziegler at DoD HPCMP PETTT for the Naval Research Laboratory.

ParaView’s capabilities of interest in the geospatial, earth and environmental sciences domains include:

  • Batch python scriptability
  • Client/Server remote visualization of large datasets
  • CAM reader
  • GDAL reader
  • MOC reader
  • MPAS reader
  • NetCDF (CF) reader
  • Python Programmable filter
  • Unstructured POP reader