def METHOD_NAME():
    """Cube including diurnal cycle."""
    time_units = Unit('hours since 1850-01-01 00:00:00', calendar='noleap')
    n_days = 2 * 365
    n_times = n_days * 4
    time_coord = iris.coords.DimCoord(
        np.arange(n_times, dtype=np.float64) * 6.0, var_name='time',
        standard_name='time', long_name='time', units=time_units)
    time_coord.guess_bounds()
    new_data = np.concatenate((
        [-2.0, -3.0, 0.0, 1.0] * int(n_days / 2),
        [-5.0, -1.0, 5.0, 0.0] * int(n_days / 2),
    ), axis=None)
    METHOD_NAME = iris.cube.Cube(
        new_data, var_name='tas', standard_name='air_temperature',
        units='K', dim_coords_and_dims=[(time_coord, 0)])
    return METHOD_NAME