Added ctt test

test/ctt_test.py

@@ -0,0 +1,50 @@
+from netCDF4 import Dataset
+import matplotlib.pyplot as plt
+from matplotlib.cm import get_cmap
+import cartopy.crs as crs
+from cartopy.feature import NaturalEarthFeature
+
+from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords
+
+# Open the NetCDF file
+ncfile = Dataset("/Users/ladwig/Documents/wrf_files/problem_files/cfrac_bug/wrfout_d02_1987-10-01_00:00:00")
+
+# Get the sea level pressure
+ctt = getvar(ncfile, "ctt")
+
+# Get the latitude and longitude points
+lats, lons = latlon_coords(ctt)
+
+# Get the cartopy mapping object
+cart_proj = get_cartopy(ctt)
+
+# Create a figure
+fig = plt.figure(figsize=(12,9))
+# Set the GeoAxes to the projection used by WRF
+ax = plt.axes(projection=cart_proj)
+
+# Download and add the states and coastlines
+states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',
+                             name='admin_1_states_provinces_shp')
+ax.add_feature(states, linewidth=.5)
+ax.coastlines('50m', linewidth=0.8)
+
+# Make the contour outlines and filled contours for the smoothed sea level pressure.
+plt.contour(to_np(lons), to_np(lats), to_np(ctt), 10, colors="black",
+            transform=crs.PlateCarree())
+plt.contourf(to_np(lons), to_np(lats), to_np(ctt), 10, transform=crs.PlateCarree(),
+             cmap=get_cmap("jet"))
+
+# Add a color bar
+plt.colorbar(ax=ax, shrink=.62)
+
+# Set the map limits.  Not really necessary, but used for demonstration.
+ax.set_xlim(cartopy_xlim(ctt))
+ax.set_ylim(cartopy_ylim(ctt))
+
+# Add the gridlines
+ax.gridlines(color="black", linestyle="dotted")
+
+plt.title("Cloud Top Temperature")
+
+plt.show()