(1) Contour maps¶
We want to create two contour maps of the low order geoid using the
Hammer equal area projection. Our gridded data file is called osu91a1f_16.nc
and
contains a global 1 by 1 gridded geoid (we will see how to make gridded
files later). We would like to show one map centered on Greenwich and
one centered on the dateline. Positive contours should be drawn with a
solid pen and negative contours with a dashed pen. Annotations should
occur for every 50 m contour level, and both contour maps should show
the continents in light brown in the background. This is how it is done:
#!/usr/bin/env bash
# GMT EXAMPLE 01
#
# Purpose: Make two contour maps based on the data in the file osu91a1f_16.nc
# GMT modules: subplot, grdcontour, coast
#
gmt begin ex01
gmt subplot begin 2x1 -A -M0.5c -Blrtb -Bafg -T"Low Order Geoid" -Fs16c/0 -Rg -JH16c
gmt coast -JH? -Glightbrown -Slightblue -c0,0
gmt grdcontour @osu91a1f_16.nc -C10 -A50+f7p -Gd10c -Ln -Wcthinnest,- -Wathin,- -T+d8p/2p+l
gmt grdcontour @osu91a1f_16.nc -C10 -A50+f7p -Gd10c -LP -T+d8p/2p+l
gmt coast -JH0/? -Glightbrown -Slightblue -c1,0
gmt grdcontour @osu91a1f_16.nc -C10 -A50+f7p -Gd10c -Ln -Wcthinnest,- -Wathin,- -T+d8p/2p
gmt grdcontour @osu91a1f_16.nc -C10 -A50+f7p -Gd10c -LP -T+d8p/2p
gmt subplot end
gmt end show
The first command sets up a 2 by 1 subplot layout. The subplot determines the size of what map can fit so we use ? when specifying map widths in the commands below. This initial setup is followed by two sequences of coast, grdcontour, grdcontour. They differ in that the first is centered on Greenwich; the second on the dateline. We use the limit option (-L) in grdcontour to select negative contours only and plot those with a dashed pen, then positive contours only and draw with a solid pen [Default]. The -T option causes tick marks pointing in the downhill direction to be drawn on the innermost, closed contours. For the upper panel we also added - and + to the local lows and highs. The labeling of the two plots with a) and b) is automatically done by subplot. You can find this illustration as