Spectral Decomposition of Two-Dimensional Atmospheric Fields on Limited-Area Domains Using the Discrete Cosine Transform (DCT)
- 1 July 2002
- journal article
- Published by American Meteorological Society in Monthly Weather Review
- Vol. 130 (7), 1812-1829
- https://doi.org/10.1175/1520-0493(2002)130<1812:sdotda>2.0.co;2
Abstract
For most atmospheric fields, the larger part of the spatial variance is contained in the planetary scales. When examined over a limited area, these atmospheric fields exhibit an aperiodic structure, with large trends across the domain. Trying to use a standard (periodic) Fourier transform on regional domains results in the aliasing of large-scale variance into shorter scales, thus destroying all usefulness of spectra at large wavenumbers. With the objective of solving this particular problem, the authors have evaluated and adopted a spectral transform called the discrete cosine transform (DCT). The DCT is a widely used transform for compression of digital images such as MPEG and JPEG, but its use for atmospheric spectral analysis has not yet received widespread attention. First, it is shown how the DCT can be employed for producing power spectra from two-dimensional atmospheric fields and how this technique compares favorably with the more conventional technique that consists of detrending the da... Abstract For most atmospheric fields, the larger part of the spatial variance is contained in the planetary scales. When examined over a limited area, these atmospheric fields exhibit an aperiodic structure, with large trends across the domain. Trying to use a standard (periodic) Fourier transform on regional domains results in the aliasing of large-scale variance into shorter scales, thus destroying all usefulness of spectra at large wavenumbers. With the objective of solving this particular problem, the authors have evaluated and adopted a spectral transform called the discrete cosine transform (DCT). The DCT is a widely used transform for compression of digital images such as MPEG and JPEG, but its use for atmospheric spectral analysis has not yet received widespread attention. First, it is shown how the DCT can be employed for producing power spectra from two-dimensional atmospheric fields and how this technique compares favorably with the more conventional technique that consists of detrending the da...Keywords
This publication has 30 references indexed in Scilit:
- Downscaling ability of one-way nested regional climate models: the Big-Brother ExperimentClimate Dynamics, 2002
- Seasonal Predictions Using a Regional Spectral Model Embedded within a Coupled Ocean–Atmosphere ModelMonthly Weather Review, 2000
- Viewing seismic velocity anomalies with 3‐D continuous Gaussian waveletsGeophysical Research Letters, 1999
- A Semi-Implicit Semi-Lagrangian Regional Climate Model: The Canadian RCMMonthly Weather Review, 1999
- On the Accuracy of Omega Diagnostic ComputationsMonthly Weather Review, 1986
- The Impact of Data Boundaries upon a Successive Corrections Objective Analysis of Limited-Area DatasetsMonthly Weather Review, 1986
- Large-Scale Two-Dimensional Turbulence in the AtmosphereJournal of the Atmospheric Sciences, 1983
- Short‐term forecasting with a multi‐level spectral primitive equation model part I ‐ model formulationAtmosphere, 1976
- Discrete Cosine TransformIEEE Transactions on Computers, 1974
- An Efficient, One-Level, Primitive-Equation Spectral ModelMonthly Weather Review, 1972