Toward unification of the multiscale modeling of the atmosphere
Toward unification of the multiscale modeling of the atmosphere
复制标题
DOI：
10.5194/acp-11-3731-2011
复制
发表时间：
2011-04
影响因子：
6.3
通讯作者：
A. Arakawa;Joon-Hee Jung;Chien‐Ming Wu
中科院分区：
文献类型：
--
作者：
A. Arakawa;Joon-Hee Jung;Chien‐Ming Wu
抽象的。就深层湿对流的表示而言，目前只使用两种模式物理：在传统的大气环流模式（GCM）中高度参数化和显式模拟的云解析模式（CRM）。理想情况下，这两种模型物理应该是统一的，以便随着分辨率的变化，模型物理从一种连续过渡到另一种。有了这样的统一，GCM可以收敛到一个全球CRM（GCRM）的网格大小细化。本文提出了两种可能的实现统一的途径。路线一继续遵循参数化方法，但使用统一的参数化，适用于一般由GCM和CRM使用的水平分辨率之间的任何水平分辨率。结果表明，构造这种统一的积云参数化的关键是消除常规积云参数化中常用的对流云覆盖面积小的假设。的统一参数化的初步设计，这表明，这样的假设可以消除通过一个相对较小的修改现有的质量通量的参数化。部分评价的统一参数化。ROUTE II遵循“多尺度模式框架（MMF）”的方法，它利用显式表示的深层湿对流和相关的云尺度过程的标准物质。准3-D（Q3-D）MMF是一种尝试，以扩大MMF的适用性，而不必使用一个完全三维的CRM。这是使用具有大间隙的云解析网格网络来实现的。概述的Q3-D算法和亮点的初步结果进行审查。
Abstract. As far as the representation of deep moist convection is concerned, only two kinds of model physics are used at present: highly parameterized as in the conventional general circulation models (GCMs) and explicitly simulated as in the cloud-resolving models (CRMs). Ideally, these two kinds of model physics should be unified so that a continuous transition of model physics from one kind to the other takes place as the resolution changes. With such unification, the GCM can converge to a global CRM (GCRM) as the grid size is refined. This paper suggests two possible routes to achieve the unification. ROUTE I continues to follow the parameterization approach, but uses a unified parameterization that is applicable to any horizontal resolutions between those typically used by GCMs and CRMs. It is shown that a key to construct such a unified parameterization is to eliminate the assumption of small fractional area covered by convective clouds, which is commonly used in the conventional cumulus parameterizations either explicitly or implicitly. A preliminary design of the unified parameterization is presented, which demonstrates that such an assumption can be eliminated through a relatively minor modification of the existing mass-flux based parameterizations. Partial evaluations of the unified parameterization are also presented. ROUTE II follows the "multi-scale modeling framework (MMF)" approach, which takes advantage of explicit representation of deep moist convection and associated cloud-scale processes by CRMs. The Quasi-3-D (Q3-D) MMF is an attempt to broaden the applicability of MMF without necessarily using a fully three-dimensional CRM. This is accomplished using a network of cloud-resolving grids with large gaps. An outline of the Q3-D algorithm and highlights of preliminary results are reviewed.