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Numerical solution of Helmholtz equation of barotropic atmosphere using wavelets

机译:利用小波对正压大气Helmholtz方程进行数值求解

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摘要

The numerical solution of the Helmholtz equation for barotropic atmosphere is estimated by use of the wavelet-Galerkin method. The solution involves the decomposition of a circulant matrix consisting up of 2-term connection coefficients of wavelet scaling functions. Three matrix decompositions, i.e. fast Fourier transformation (FFT), Jacobian and QR decomposition methods, are tested numerically. The Jacobian method has the smallest matrix-reconstruction error with the best orthogonality while the FFT method causes the biggest errors. Numerical result reveals that the numerical solution of the equation is very sensitive to the decomposition methods, and the QR and Jacobian decomposition methods, whose errors are of the order of 10(-3), much smaller than that with the FFT method, are more suitable to the numerical solution of the equation. With the two methods the solutions are also proved to have much higher accuracy than the iteration solution with the finite difference approximation. In addition, the wavelet numerical method is very useful for the solution of a climate model in low resolution. The solution accuracy of the equation may significantly increase with the order of Daubechies wavelet.
机译:利用小波-Galerkin方法估计了正压大气层亥姆霍兹方程的数值解。该解决方案涉及循环矩阵的分解,该循环矩阵由小波缩放函数的2项连接系数组成。数值测试了三种矩阵分解,即快速傅立叶变换(FFT),Jacobian和QR分解方法。雅可比方法具有最小的矩阵重建误差和最佳的正交性,而FFT方法引起的误差最大。数值结果表明,该方程的数值解对分解方法非常敏感,QR和Jacobian分解方法的误差约为10(-3),比FFT方法小得多。适用于方程的数值解。使用这两种方法,也证明了该解决方案比具有有限差分近似的迭代解决方案具有更高的精度。另外,小波数值方法对于解决低分辨率的气候模型非常有用。该方程的求解精度可能会随着Daubechies小波的阶数而显着增加。

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