The normal mode model is important in computational atmospheric acoustics. It is often used to compute the atmospheric acoustic field under a harmonic point source. Its solution consists of a set of discrete modes radiating into the upper atmosphere, usually related to the continuous spectrum. In this article, we present two spectral methods, the Chebyshev--Tau and Chebyshev--Collocation methods, to solve for the atmospheric acoustic normal modes, and corresponding programs were developed. The two spectral methods successfully transform the problem of searching for the modal wavenumbers in the complex plane into a simple dense matrix eigenvalue problem by projecting the governing equation onto a set of orthogonal bases, which can be easily solved through linear algebra methods. After obtaining the eigenvalues and eigenvectors, the horizontal wavenumbers and their corresponding modes can be obtained with simple processing. Numerical experiments were examined for both downwind and upwind conditions to verify the effectiveness of the methods. The running time data indicated that both spectral methods proposed in this article are faster than the Legendre--Galerkin spectral method proposed previously.
翻译:正常模式模型在计算大气声学中很重要。 它通常用于在调心点源下计算大气声学场。 其溶液由一组散落到高层大气的离散模式组成, 通常与连续频谱相关。 在本篇文章中, 我们展示了两种光谱方法: Chebyshev- Tau 和 Chebyshev- Coloration 方法, 用于解决大气声学正常模式, 并开发了相应的程序。 两种光谱方法成功地将复杂平面中模式波数的搜索问题转化成一个简单的密集矩阵二元值问题, 其方法是将调节方程式投射到一组正方位基, 这一系列正方程式可以很容易地通过直线代数法解开来解开。 在获得电子数值和直线代数后, 水平波数及其相应的模式可以用简单的处理方法获得。 对下风和上风两个条件的数值实验进行了检查, 以核实方法的有效性。 运行的时间数据显示, 本文章中提议的两种光谱方法比先前提议的光谱法更快。