1997
DOI: 10.1175/1520-0493(1997)125<0143:ahfsla>2.0.co;2
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A Harmonic-Fourier Spectral Limited-Area Model with an External Wind Lateral Boundary Condition*

Abstract: In comparison to the Tatsumi's spectral method, the harmonic-Fourier spectral method has two major advantages. 1) The semi-implicit scheme is quite efficient because the solutions of the Poisson and Helmholtz equations are readily derived. 2) The lateral boundary value problem of a limited-area model is easily solved. These advantages are the same as those of the spherical harmonics used in global models if the singularity at the pole points for a globe is considered to be the counterpart of the lateral bounda… Show more

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Cited by 14 publications
(1 citation statement)
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“…The hydrostatic primitive equations on a Mercator projection with a sigma vertical coordinate are solved using the energy-conserving vertical finite difference method described by Arakawa and Lamb (1977). The spectral method described by Chen et al (1997) is used in the horizontal. This spectral method divides the dependent variables into a boundary part, which satisfies Laplace's equation on the interior of a limited area domain with inhomogeneous boundary conditions, and the residual part that satisfies homogenous boundary conditions, and is expanded in a double sine series.…”
Section: Modification and Performance Of Ships 1997mentioning
confidence: 99%
“…The hydrostatic primitive equations on a Mercator projection with a sigma vertical coordinate are solved using the energy-conserving vertical finite difference method described by Arakawa and Lamb (1977). The spectral method described by Chen et al (1997) is used in the horizontal. This spectral method divides the dependent variables into a boundary part, which satisfies Laplace's equation on the interior of a limited area domain with inhomogeneous boundary conditions, and the residual part that satisfies homogenous boundary conditions, and is expanded in a double sine series.…”
Section: Modification and Performance Of Ships 1997mentioning
confidence: 99%