气候变化领域集成服务门户(CCPortal): Exploring a Lower-Resolution Physics Grid in CAM-SE-CSLAM

CCPortal

DOI	10.1029/2019MS001684
	Exploring a Lower-Resolution Physics Grid in CAM-SE-CSLAM
	Herrington A.R.; Lauritzen P.H.; Reed K.A.; Goldhaber S.; Eaton B.E.
发表日期	2019
ISSN	19422466
起始页码	1894
结束页码	1916
卷号	11 期号:7
英文摘要	This paper describes the implementation of a coarser-resolution physics grid into the Community Atmosphere Model (CAM), containing (Formula presented.) fewer grid columns than the dynamics grid. The dry dynamics is represented by the spectral element dynamical core, and tracer transport is computed using the Conservative Semi-Lagrangian Finite Volume Method (CAM-SE-CSLAM). Algorithms are presented that map fields between the dynamics and physics grids while maintaining numerical properties ideal for atmospheric simulations such as mass conservation and mixing ratio shape and linear-correlation preservation. The results of experiments using the lower-resolution physics grid are compared to the conventional method in which the physics and dynamical grids coincide. The lower-resolution physics grid provides a volume mean state to the physics computed from an equal sampling of the different types of nodal solutions arising in the spectral-element method and effectively mitigates grid imprinting in regions with steep topography. The impact of the coarser-resolution physics grid on the resolved scales of motion is analyzed in an aquaplanet configuration, across a range of dynamical core grid resolutions. The results suggest that the effective resolution of the model is not degraded through the use of a coarser-resolution physics grid. Since the physics makes up about half the computational cost of the conventional CAM-SE-CSLAM configuration, the coarser physics grid may allow for significant cost savings with little to no downside. ©2019. The Authors.
语种	英语
scopus关键词	Dynamics; Finite volume method; Topography; Atmospheric simulations; Community atmosphere model; Computational costs; Conventional methods; Effective resolutions; Linear correlation; Numerical properties; Spectral element method; Cams; atmospheric modeling; exploration; Lagrangian analysis; mixing ratio; physics; simulation; spatial resolution; transport process
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156976
作者单位	School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States; National Center for Atmospheric Research, Boulder, CO, United States
推荐引用方式 GB/T 7714	Herrington A.R.,Lauritzen P.H.,Reed K.A.,et al. Exploring a Lower-Resolution Physics Grid in CAM-SE-CSLAM[J],2019,11(7).
APA	Herrington A.R.,Lauritzen P.H.,Reed K.A.,Goldhaber S.,&Eaton B.E..(2019).Exploring a Lower-Resolution Physics Grid in CAM-SE-CSLAM.Journal of Advances in Modeling Earth Systems,11(7).
MLA	Herrington A.R.,et al."Exploring a Lower-Resolution Physics Grid in CAM-SE-CSLAM".Journal of Advances in Modeling Earth Systems 11.7(2019).