def _make_meridional_diffusion_matrix(K, lataxis):
    """Calls :func:`_make_diffusion_matrix` with appropriate weights for
    the meridional diffusion case.

    :param array K:         dimensionless diffusivities at cell boundaries
                            of diffusion axis ``lataxis``
    :param axis lataxis:    latitude axis where diffusion is occuring

    Weights are computed as the following:

    .. math::

        \\begin{array}{ll}
            w_1 &= \\cos(\\textrm{bounds}) \\\\
                &= \\left[ \\cos(b_0), \\cos(b_1), \\cos(b_2), \\ ... \\ , \\cos(b_{n-1}), \\cos(b_n) \\right] \\\\
            w_2 &= \\cos(\\textrm{points}) \\\\
                &= \\left[ \\cos(p_0), \\cos(p_1), \\cos(p_2), \\ ... \\ , \\cos(p_{n-1}) \\right]
        \\end{array}

    when bounds and points from ``lataxis`` are written as

    .. math::

        \\begin{array}{ll}
            \\textrm{bounds}   &= [b_0, b_1, b_2, \\ ... \\ , b_{n-1}, b_{n}] \\\\
            \\textrm{points}   &= [p_0, p_1, p_2, \\ ... \\ , p_{n-1}]
        \\end{array}

    Giving this input to :func:`_make_diffusion_matrix` results in a matrix like:

    .. math::

        \\textrm{diffTriDiag}=
        \\left[ \\begin{array}{cccccc}
        1+\\frac{u_1 }{\\cos(p_0)} & -\\frac{u_1}{\\cos(p_0)} & 0 &  & ... & 0  \\\\
        -\\frac{u_1}{\\cos(p_1)} & 1+\\frac{u_1 + u_2}{\\cos(p_1)} & -\\frac{u_2}{\\cos(b_1)} & 0 & ... & 0 \\\\
        0 & -\\frac{u_2}{\\cos(p_2)}  & 1+\\frac{u_2 + u_3}{\\cos(p_2)} & -\\frac{u_3}{\\cos(p_2)} &... & 0  \\\\
          &  & \\ddots & \\ddots & \\ddots & \\\\
        0 & 0 & ... & -\\frac{u_{n-2}}{\\cos(p_{n-2})}  & 1+\\frac{u_{n-2} + u_{n-1}}{\\cos(p_{n-2})} & -\\frac{u_{n-1}}{\\cos(p_{n-2})} \\\\
        0 & 0 & ... & 0 & -\\frac{u_{n-1}}{\\cos(p_{n-1})}  & 1+\\frac{u_{n-1}}{\\cos(p_{n-1})} \\\\
        \\end{array} \\right]

    with the substitue of:

    .. math::

        u_i = \\cos(b_i) K_i

    """
    phi_stag = np.deg2rad(lataxis.bounds)
    phi = np.deg2rad(lataxis.points)
    weight1 = np.cos(phi_stag)
    weight2 = np.cos(phi)
    diag = _make_diffusion_matrix(K, weight1, weight2)
    return diag, weight1, weight2