气候变化领域集成服务门户(CCPortal): Convergence behavior of idealized convection-resolving simulations of summertime deep moist convection over land

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DOI	10.1007/s00382-018-4229-9
	Convergence behavior of idealized convection-resolving simulations of summertime deep moist convection over land
	Panosetti D.; Schlemmer L.; Schär C.
发表日期	2020
ISSN	0930-7575
起始页码	215
结束页码	234
卷号	55
英文摘要	Convection-resolving models (CRMs) can explicitly simulate deep convection and resolve interactions between convective updrafts. They are thus increasingly used in numerous weather and climate applications. However, the truncation of the continuous energy cascade at scales of O(1 km) poses a serious challenge, as in kilometer-scale simulations the size and properties of the simulated convective cells are often determined by the horizontal grid spacing (Δ x).In this study, idealized simulations of deep moist convection over land are performed to assess the convergence behavior of a CRM at Δ x= 8, 4, 2, 1 km and 500 m. Two types of convergence estimates are investigated: bulk convergence addressing domain-averaged and integrated variables related to the water and energy budgets, and structural convergence addressing the statistics and scales of individual clouds and updrafts. Results show that bulk convergence generally begins at Δ x= 4 km, while structural convergence is not yet fully achieved at the kilometer scale, despite some evidence that the resolution sensitivity of updraft velocities and convective mass fluxes decreases at finer resolution. In particular, at finer grid spacings the maximum updraft velocity generally increases, and the size of the smallest clouds is mostly determined by Δ x. A number of different experiments are conducted, and it is found that the presence of orography and environmental vertical wind shear yields more energetic structures at scales much larger than Δ x, sometimes reducing the resolution sensitivity. Overall the results lend support to the use of kilometer-scale resolutions in CRMs, despite the inability of these models to fully resolve the associated cloud field. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Convection-resolving models; Convergence; Deep convection; Grey zone of convection; Resolution sensitivity
语种	英语
scopus关键词	atmospheric convection; cloud; convergence; energy budget; moisture transfer; orography; resolution; summer; water budget; wind shear
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145423
作者单位	Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, Zurich, 8092, Switzerland
推荐引用方式 GB/T 7714	Panosetti D.,Schlemmer L.,Schär C.. Convergence behavior of idealized convection-resolving simulations of summertime deep moist convection over land[J],2020,55.
APA	Panosetti D.,Schlemmer L.,&Schär C..(2020).Convergence behavior of idealized convection-resolving simulations of summertime deep moist convection over land.Climate Dynamics,55.
MLA	Panosetti D.,et al."Convergence behavior of idealized convection-resolving simulations of summertime deep moist convection over land".Climate Dynamics 55(2020).