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A Full 'Particle-ln-CeN' Numerical Integration Method Tested for the Shallow Water Equations.

机译:对浅水方程测试的全“粒子-LN-CEN”数值积分法。

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Most modern atmospheric general circulation models (GCMs) include liquid water as a prognostic variable. The process of advection is in the same models treated by different methods that are usually only considered feasible for relatively smooth varying fields such as wind and mass. The most commonly used schemes are Eulerian centered difference schemes in grid point models, Eulerian spectral schemes using transform method (see Machenhauer 1979) and semi-Lagrangian schemes (see Staniforth and Cote 1991). When a discontinous or sharply varying field such as liquid water content is advected using these schemes, numerical dispersion and diffusion become a serious problem. In spectral models where no numerical dispersion is present, a diffusion with the effect of smoothing is usually needed to prevent non-linear instabilities. Even if the diffusion is avoided for e.g. liquid water content, the spectral truncation will still lead to unphysical "over and under-shootings" - the so called Gibbs phenomenon - near spatial discontinuities generated in the physical parameterization routines.
机译:大多数现代大气通用循环模型(GCMS)包括液态水作为预后变量。平流的过程是由不同方法处理的相同模型,通常仅考虑对诸如风和质量的相对平滑的变化领域可行。最常用的方案是网格点模型中的Eulerian中心差分方案,欧拉谱方案使用变换方法(参见Machenhauer 1979)和半拉格朗日方案(参见斯坦菲特和科特1991)。当使用这些方案建立诸如液体含水量的诸如液体含水量的最不达到或尖锐的变化场时,数值分散和扩散成为一个严重的问题。在不存在数值色散的光谱模型中,通常需要与平滑效果的扩散以防止非线性稳定性。即使避免了扩散,例如,也是如此。液体含水量,光谱截短仍将导致不经关注的“过度射击” - 所谓的GIBB现象 - 在物理参数化例程中产生的空间不连续性。

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