UV-CDAT Features

Software Included

See here

1.2.0

Python based
Drag and drop plotting
Calculator
Colormap editors
Map projections
Template editor for plot annotation
Multiple 1D/2D/3D visualizations (e.g., VCS, VTK, ParaView)
- 3D samples of visualizations:
  - Glyph Slicer
  - Glyph Volume
  - Hovmuller Slicer
  - Hovmuller Volume
  - IsoSurface
  - IsoSurface with texture
  - Slicer
  - Slicer with Contours
  - Streamline Slicer
  - Volume Renderer
  - Volume Renderer with Slicer
- 2D samples of visualizations:
  - Taylor Diagrams
  - isofill
  - boxfill
  - meshfill (curvilinear grids for example)
  - isolines (with streamlines)
  - vectors
  - histograms
- 1D sample of visualizations:
  - Y(x) vs x
  - X(y) vs y
  - X vs Y
  - scatter
- PVClimate
  - Contour Representation
  - Slice Representation
- VisIt
  - Contour
  - PseudoColor
Custom Visualizations/Analysis:
- Wheeler Kiladis
- Thermodynamic Diagrams (skewT plots)
Multiple file format ingestion (e.g., netCDF/CF, PP, ASCII, Binary, etc.)
Regridding
- SCRIP
- ESMF
- Area weighted
- libCF interpolation
- save data to VizSchema format (VisIt supported)
- support for mosaic meshes
Python source code generator
Workflow and provenance recording
Step through dimension while on plot
Climate data tools that calculate:
- mean
- standard deviation
- covariance
- variance
- autocorrelation
- autocovariance
- geomettric mean
- lagged correlation
- lagged covariance
- linear regression
- mean
- mean absolute difference
- median
- rank (in %)
- root mean square
filters:
- 121
- running average
- custom filter
read ascii data
conversion of pressure levels
extraction of climatology, season, monthly means
departure from means
bounds set for Xhourly, daily, monthly data

1.0. alpha

Python based
Initial integration of CDAT, VisTrails, and ParaView
New front-end design
Drag and drop plotting
Calculator
Colormap editors
Map projections
Template editor for plot annotation
Multiple 1D/2D/3D visualizations (e.g., VCS, VTK, ParaView)
- 3D samples of visualizations:
  - 3D Hoffmuller
  - 3D volume slicer
  - 3D vector plot
  - 3D volume isosurface
  - 3D volume rendering
- 2D samples of visualizations:
  - Taylor Diagrams
  - isofill
  - boxfill
  - meshfill (curvilinear grids for example)
  - isolines (with streamlines)
  - vectors
- 1D sample of visualizations:
  - Y(x) vs x
  - X(y) vs y
  - X vs Y
  - scatter
Custom Visualizations/Analysis:
- Wheeler Kiladis
- Thermodynamic Diagrams (skewT plots)
Multiple file format ingestion (e.g., netCDF/CF, PP, ASCII, Binary, etc.)
Regridding
- SCRIP
- ESMF
- Area weighted
- libCF interpolation
- save data to VizSchema format (VisIt supported)
- support for mosaic meshes
Python source code generator
Workflow and provenance recording
Parallel I/O
Step through dimension while on plot
Climate data tools that calculate:
- mean
- standard deviation
- covariance
- variance
- autocorrelation
- autocovariance
- geomettric mean
- lagged correlation
- lagged covariance
- linear regression
- mean
- mean absolute difference
- median
- rank (in %)
- root mean square
filters:
- 121
- running average
- custom filter
read ascii data
conversion of pressure levels
extraction of climatology, season, monthly means
departure from means
bounds set for Xhourly, daily, monthly data