A semi‐implicit deep‐atmosphere spectral dynamical kernel using a hydrostatic‐pressure coordinate. (18th September 2017)

• Record Type: Journal Article
• Authors: Yang, Jinhui; Song, Junqiang; Wu, Jianping; Ying, Fukang; Peng, Jun; Leng, Hongze
• Is Part Of: Quarterly journal of the Royal Meteorological Society. Volume 143:Number 708(2017)
• Page Start: 2703
• Page End: 2713
• Publication Date: 2017-09-18
• Subjects: deep‐atmosphere -- hydrostatic‐pressure coordinate -- semi‐implicit semi‐Lagrangian -- non‐hydrostatic model; Meteorology -- Periodicals; 551.5
• DOI: 10.1002/qj.3119
• Languages: English
• ISSNs: 0035-9009

Abstract

Abstract : 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. Abstract : Deep‐atmosphere steady‐state test case for normal Earth (X = 1). Results are plotted (from top to bottom) at (a, b) day 0 (initial states), and (c, d) day 10, showing (a, c) temperature and (b, d) zonal wind.