def METHOD_NAME(color, row, col, pos, title):
    # Generate axes, using Cartopy, drawing coastlines, and adding features
    projection = ccrs.PlateCarree()
    ax1 = plt.subplot(row, col, pos, projection=projection)
    ax1.coastlines(linewidths=0.5)
    ax1.add_feature(cfeature.LAND, facecolor="lightgray")
    # Import an NCL colormap
    newcmp = color
    # Contourf-plot data
    temp = t.plot.contourf(ax=ax1,
                           transform=projection,
                           levels=40,
                           vmin=0,
                           vmax=32,
                           cmap=newcmp,
                           add_colorbar=False)
    # Add color bar
    cbar_ticks = np.arange(0, 32, 2)
    cbar = plt.colorbar(temp,
                        orientation='vertical',
                        shrink=0.8,
                        pad=0.05,
                        extendrect=True,
                        ticks=cbar_ticks)
    cbar.ax.tick_params(labelsize=10)
    # Use geocat.viz.util convenience function to set axes parameters without calling several matplotlib functions
    # Set axes limits, and tick values
    gv.set_axes_limits_and_ticks(ax1, xlim=(30, 120), ylim=(-60, 30))
    # Use geocat.viz.util convenience function to set titles and labels without calling several matplotlib functions
    gv.set_titles_and_labels(ax1,
                             maintitle=title,
                             maintitlefontsize=14,
                             xlabel="",
                             ylabel="")