On the Pseudo-Spectral Method and Spectral Accuracy

Geophysics ◽  
2021 ◽  
pp. 1-2
Author(s):  
Rune Mittet

There are numerical accuracy problems related to the implementation of sharp internal interfaces in pseudo-spectral and finite-difference schemes. It is common practice to classify numerical errors due to the implementation of interfaces as being to some order in a Taylor expansion. An alternative approach is to classify these errors as being to some order in a Fourier expansion.The pseudo-spectral method does not provide spectral accuracy in inhomogeneous media. The numerical errorsfor the upper half of the frequency/wavenumber spectra of the propagating fields are not related to theimplementation of the derivative operators but to aliasing effects coming from the multiplicationof static material-parameter fields with the dynamic, propagating, fields. The pseudo-spectral methodcan only provide half-spectral accuracy. The same type of spatial aliasing errors are present also forfinite-difference schemes. High-order finite differences can provide the same accuracy as the pseudo-spectral method if the staggered finite-difference derivative operators have a negligible errorat four grid points per shortest wavelength and above. Smoothing of the material-parameter field leads to additional reduction in the error-free bandwidthof the propagating fields. Assuming that there is a maximum wavenumber up to which the spectrumof the smoothed model coincide with the implementation using a properly bandlimited Heaviside step function, then there exists a local critical wavenumber for the propagating field equal toone half of the maximum wavenumber for the smoothed model. Harmonic averaging of material-parameter fields also results in wavenumber spectra where there is a maximum wavenumber above whichthe wavenumber spectrum deviates from an implementation with a bandlimited Heaviside step function.The same one-half rule is applicable also in this case.

2008 ◽  
Vol 136 (10) ◽  
pp. 4005-4009 ◽  
Author(s):  
Huei-Ping Huang ◽  
Klaus M. Weickmann

This note evaluates the numerical schemes used for computing the axial component of the mountain torque from gridded global surface pressure and topography datasets. It is shown that the two formulas of the mountain torque based on (i) an integral of the product of the surface pressure and the gradient of topography, and (ii) an integral of the product of the topography and the surface pressure gradient, should produce identical results if a centered even-ordered finite-difference scheme or the spectral method is used to evaluate the integrand. Noncentered finite-difference schemes are not recommended not only because they produce extremely large errors but also because they produce different results for the two formulas. When compared with the benchmark calculation using the spectral method, it is found that the centered fourth-order finite-difference scheme is an efficient and generally accurate approximation for practical applications. Using the data from NCEP–NCAR reanalysis, the finite-difference schemes generally underestimate the global mountain torque compared to the benchmark. This negative error is interpreted as due to the asymmetry in the distribution of surface pressure and in the steepness of the topography between the western and eastern slopes of the mountains.


JSIAM Letters ◽  
2011 ◽  
Vol 3 (0) ◽  
pp. 37-40 ◽  
Author(s):  
Yuto Miyatake ◽  
Takayasu Matsuo ◽  
Daisuke Furihata

Sign in / Sign up

Export Citation Format

Share Document