Controlling Colors in GrADS

The Pre-Defined Default Colors in GrADS
The Default Rainbow Palette
Defining New Colors
Transparent Colors
Overriding the Default Palette
Plotting Contours of Constant Color
Omitting Colors
Plotting Non-Continuous Index Grids


The Pre-Defined Default Colors in GrADS

GrADS is built with 16 default colors that are used in a variety of applications. Every color in GrADS has a unique color number that is used as an index to identify it in GrADS commands. Complete specifications of the default colors numbered 0 to 15 are given below: 

Col#  Description   Sample    R    G    B 

  0   background        0    0    0  (black by default)
  1   foreground      255  255  255  (white by default)
  2   red             250   60   60  
  3   green             0  220    0  
  4   dark blue        30   60  255  
  5   light blue        0  200  200  
  6   magenta         240    0  130  
  7   yellow          230  220   50  
  8   orange          240  130   40  
  9   purple          160    0  200  
 10   yellow/green    160  230   50  
 11   medium blue       0  160  255  
 12   dark yellow     230  175   45  
 13   aqua              0  210  140  
 14   dark purple     130    0  220  
 15   gray            170  170  170  

Disclaimer: The color samples may not be displayed properly.

The Default Rainbow Palette

GrADS creates a default rainbow palette using the following sequence of 13 built-in colors:
9 14 4 11 5 13 3 10 7 12 8 2 6

When drawing contour plots, the default behaviour of GrADS is to color code the contours and select an appropriate contour interval so that each contour is a different color and the colors span the range of the default rainbow sequence. The same principle is behind the selection of default contour intervals for filled contours and shaded grid plots.

The scripts "cbar.gs" and "cbarn.gs" will draw a color key alongside a plot of filled contours or shaded grid cells; the script uses the query shades command to get information about the contour levels and their color shades.

Defining new colors

For some graphics, the 16 GrADS default colors may not be suitable or adequate. It is possible for the user to define new colors using the set rgb command:

For example, to create a palette of colors for plotting anomalies, you can define new colors that will be shades of blue and red that range in intensity from fully saturated to very light. White will be the color in the center of the new anomaly palette.

Transparent Colors

Starting with GrADS version 2.1, there is an addional optional argument that may be used to set a transparency level for a user-defined color.

Color Masking for Transparent Colors

A filled region on a plot is achieved by shaded contouring, filling land/ocean areas using basemap.gs, or drawing a shapefile with filled polygons. The filled areas usually consist of a large number of polygons that appear as one solid region. When filling such an area on the plot using a semi-transparent color, spurious lines may appear at the polygon boundaries or in areas where the polygons overlap. This is due to the alpha channel value being applied twice to the same set of pixels.

To avoid this, you can plot a semi-transparent color value using a color mask. How this operates "under the hood" is somewhat like double buffering. When the masked color number is encountered, a mask is set up, the same size of the screen image. While that color number is being plotted, the plotting is done to the mask image instead. The mask image can be thought of as simply zeros and ones -- 0 indicating that the color has not been drawn there, 1 that it has. When this action is terminated, at the conclusion of a 'draw' or 'display' command or when another color number is being used, then the "masked" color is drawn to the main plot using a masked paint operation, where the color is painted to the plot everywhere where the mask image was 1.

There are some drawbacks to using masked colors. The masked region is an image operation, so the boundaries may appear jagged -- pixelated -- if the plot is rendered at sufficiently low resolution. There may also be a performance penalty for using masked colors. It is a good idea to avoid using masked colors unless absolutely necessary. It is not necessary to use masked colors for "set gxout shade2" because the new shaded contouring algorithm is very well behaved. In version 2.1+, shade2 is the default algorithm used for 'set gxout shaded'. Color masking should be used for the old shading algorithm ('set gxout shade1') or when drawing shapefiles with the polygons set to be filled.

To set a color to be masked, simply specify its alpha channel value as negative. The positive of that value will be used to draw the actual color, when rendered via the mask. For examples, please look here and here.

 

Overriding the Default Palette

Now that we have a set of newly defined colors (numbered 16-25), we can override the defaults and specify our anomaly palette with exact contour levels and the colors that go with them. This is accomplished by using the following commands:

Contour levels and the colors that go with them are reset with every execution of clear or display. Thus, it may be easier to use these commands in a script to avoid typing them over and over again.

Filled Contours or Shaded Grids: If you are specifying the levels and colors for filled contours (set gxout shaded) or shaded grid cells (set gxout grfill), then the number of colors specified with set ccols must be one larger than the number of contour levels specified with set clevs. Continuing with our example of creating an anomaly palette, the commands would have the following syntax:

Note the "0" contour level has been omitted, but color number "1" is still in the palette. Drawing a plot with these specified clevs and ccols and then running the "cbarn.gs" script will result in the following color key:

Here is example using 6 colors and 5 contour levels that shows how the filled contours (or shaded grids) relate to the data values:

Line Contours: If you are specifying the levels and colors for line contours (set gxout contour), then the number of arguments to set clevs and set ccols should be equal -- one color for each contour.

Plotting Contours of Constant Color

It is sometimes preferable to plot line contours without the rainbow coloring. An example might be a plot with sea level pressure contours in one color (red) and 500 mb height contours overlaid in another color (blue). For drawing all the contours in the same color, use the set ccolor command:

Omitting Colors

The default behavior of GrADS when plotting filled contours or shaded grid cells is to colorize all areas. To omit a particular color (or contour level) from the plot, simply assign the background color. For example:

This example is similar to the one given above, but notice where some of the ccols have been set to "0" (the background color). The first, last, and middle colors have been omitted. These commands set up a plot that will only shade areas where the anomalies are between 1 and 5 and -1 and -5. The remaining areas will be black (or white, depending on what the background color is set to be.)

When using version 2.0.0+ and 'gxout shade2' or 'gxout shade2b', if any of the color numbers is < 0, the contour is not drawn at all (i.e., it is effectively transparent). In version 2.1+, the 'set gxout' option 'shaded' is an alias for 'shade2'.

Plotting Non-Continuous Index Grids

Plotting grids with index values or non-continuous data (e.g. surface type classification) is simplified by using the graphics output type fgrid and the set fgvals command.

In this example, the variable "sfctype" has three values: 1 represents land, 2 represents oceans, and 3 represents sea ice. These commands would draw a plot with land grid cells filled with color number 15 (gray), ocean grid cells filled with color number 5 (light blue), and sea ice grid cells filled with color number 1 (white). If the first two arguments to set fgvals were omitted, then the land grid cells would not be omitted and only ocean and sea ice grid cells would be colored.