DOI: 10.1002/2014MS000368
Scopus记录号: 2-s2.0-84928780295
论文题名: Short-term time step convergence in a climate model
作者: Wan H ; , Rasch P ; J ; , Taylor M ; A ; , Jablonowski C
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期: 1 起始页码: 215
结束页码: 225
语种: 英语
英文关键词: Earth atmosphere
; Equations of motion
; Errors
; Numerical models
; Parameterization
; Testing
; Atmospheric general circulation models
; Community atmosphere model
; convergence
; Horizontal grid spacing
; Numerical convergence
; Numerical errors
; Numerical treatments
; Time integration
; Climate models
; climate modeling
; convergence
; experimental study
; general circulation model
; numerical model
; parameterization
; resolution
英文摘要: This paper evaluates the numerical convergence of very short (1 h) simulations carried out with a spectral-element (SE) configuration of the Community Atmosphere Model version 5 (CAM5). While the horizontal grid spacing is fixed at approximately 110 km, the process-coupling time step is varied between 1800 and 1 s to reveal the convergence rate with respect to the temporal resolution. Special attention is paid to the behavior of the parameterized subgrid-scale physics. First, a dynamical core test with reduced dynamics time steps is presented. The results demonstrate that the experimental setup is able to correctly assess the convergence rate of the discrete solutions to the adiabatic equations of atmospheric motion. Second, results from full-physics CAM5 simulations with reduced physics and dynamics time steps are discussed. It is shown that the convergence rate is 0.4 - considerably slower than the expected rate of 1.0. Sensitivity experiments indicate that, among the various subgrid-scale physical parameterizations, the stratiform cloud schemes are associated with the largest time-stepping errors, and are the primary cause of slow time step convergence. While the details of our findings are model specific, the general test procedure is applicable to any atmospheric general circulation model. The need for more accurate numerical treatments of physical parameterizations, especially the representation of stratiform clouds, is likely common in many models. The suggested test technique can help quantify the time-stepping errors and identify the related model sensitivities. © 2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76022
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Pacific Northwest National Laboratory, Richland, WA, United States; Sandia National Laboratories, Albuquerque, NM, United States; Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI, United States
Recommended Citation:
Wan H,, Rasch P,J,et al. Short-term time step convergence in a climate model[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(1)