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UVCDAT Features

Matthew Harris edited this page Sep 17, 2013 · 1 revision

###Software Included Included Software

###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
  • 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
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