摘要
Most of the present deep-atmosphere models are based on finite-difference schemes. This article proposes a novel deep-atmosphere non-hydrostatic spectral dynamical kernel with hydrostatic-pressure based terrain-following vertical coordinate. Contrary to finite-difference methods, a spectral transform method is used for the horizontal discretization. The prognostic variables in our dynamical kernel are analogous to the typical ALADIN-NH spectral model. A two time level semi-implicit semi-Lagrangian time-stepping scheme is applied to enable large time steps and improve the efficiency of integration. A set of test cases are conducted to evaluate the accuracy and stability of the deep-atmosphere dynamic kernel.
- 出版日期2017-10
- 单位中国人民解放军国防科学技术大学