From Boundary Layer to Deep Convection: The Multi-Plume Eddy-Diffusivity/Mass-Flux (EDMF) Fully Unified Parameterization

从边界层到深对流：多羽流涡扩散率/质量通量 (EDMF) 完全统一参数化

• 批准号: 1916619
• 负责人: Joao Teixeira
• 金额: $ 351.46万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1916619&HistoricalAwards=false
• 关键词: Boundary; Layer; Deep; Convection; Multi

Clouds play a critical but delicate role in regulating Earth's climate. They cool the Earth by reflecting about a quarter of the incoming sunlight back into space, but they also warm the Earth by trapping outgoing infrared radiation. The sensitivity of climate to cloud amount and properties poses a substantial challenge to climate modeling given the difficulty of representing clouds in climate models. In fact clouds are so difficult to simulate that climate models typically use separate cloud parameterization schemes (essentially computer subroutines) to represent different kinds of clouds. In the case of convective clouds models typically use two schemes, one for the shallow cumulus clouds which form within and on top of the of the planetary boundary layer (PBL, commonly the first kilometer or two above the surface), and another for the deep cumulus clouds which can extend through the depth of the troposphere (to heights of perhaps 10km or more). The separation of deep and shallow convection is done for practical reasons but in reality clouds come in all sizes and ultimately the same laws of physics apply regardless of size. Also, the independence of the shallow and deep convection schemes can subtly misrepresent the interaction between shallow and deep convective clouds. A unified scheme, which represents everything from small-scale convection in the PBL to deep cumulus clouds, is clearly preferable but also challenging to implement.This award supports a Climate Process Team engaged in the development and implementation of such a unified convection scheme in the Community Earth System Model (CESM). The scheme is known as as an Eddy Diffusivity/Mass Flux (EDMF) parameterization, in which the smallest convective plumes are treated along with PBL turbulent air motions using a diffusive approximation, combined with a mass flux methodology for representing clouds which are as tall or taller than the depth of the PBL. The eddy diffusivity and mass flux components of the scheme are carefully coordinated so that they can represent the interactions between dry PBL turbulence and PBL clouds and the transition from shallow to deep convection. The EDMF scheme developed and implemented here builds on previous EDMF schemes developed by the lead PI and others, adding features including the ability to simulate an ensemble of mass flux plumes, thus allowing multiple convective regimes to exist in a single grid box, and the effects of organized convection and cold pools.The primary broader impact of the work is that it seeks to improve the performance of climate models and their usefulness as tools for scientific research and for providing guidance for decision makers concerned with climate variability and change. CESM is an open-source model which is hosted and supported by the National Center for Atmospheric Research and has a worldwide user community. The scheme will also be implemented in the climate model of the Geophysical Fluid Dynamics Laboratory (GFDL) by collaborators not funded under this award. In addition, the award supports an annual workshop on turbulence, convection and clouds in climate models, which serves as a venue for interactions among researchers working on cloud and PBL parameterization. The project supports three postdocs, thereby developing the future workforce for climate model development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

云在调节地球气候方面起着关键而微妙的作用。 它们通过将大约四分之一的入射阳光反射回太空来冷却地球，但它们也通过捕获向外的红外辐射来温暖地球。 气候对云的数量和性质的敏感性给气候模式带来了巨大的挑战，因为在气候模式中很难表示云。 事实上，云是如此难以模拟，气候模型通常使用单独的云参数化方案（本质上是计算机子程序）来表示不同种类的云。对于对流云，模式通常使用两种方案，一种用于在行星边界层（PBL，通常在表面上方的第一个或两个公里处）内和顶部形成的浅积云，另一种用于可以延伸到对流层深度（可能达到10公里或更高）的深积云。 深对流和浅对流的分离是出于实际原因，但实际上云有各种大小，最终相同的物理定律适用于任何大小。 此外，浅对流和深对流方案的独立性可能会微妙地歪曲浅对流云和深对流云之间的相互作用。 一个统一的方案，它代表了从PBL中的小尺度对流到深积云的一切，显然是可取的，但也具有挑战性的实施。该奖项支持气候过程团队参与社区地球系统模型（CESM）中这样一个统一的对流方案的开发和实施。该方案被称为涡扩散率/质量通量（EDMF）参数化，其中最小的对流羽流被处理沿着与边界层湍流空气运动使用扩散近似，结合质量通量方法来表示云的高度或高于边界层的深度。 该方案的涡动扩散率和质量通量分量进行了仔细的协调，使它们能够代表干PBL湍流和PBL云之间的相互作用，从浅对流到深对流的过渡。这里开发和实施的EDMF方案建立在PI领导和其他人开发的EDMF方案的基础上，增加了包括模拟质量通量羽流集合的能力在内的功能，从而允许在单个网格框中存在多个对流系统，以及有组织的对流和冷池的影响。这项工作的主要广泛影响是，它试图提高气候模式的性能，作为科学研究的工具和为关注气候变异性和变化的决策者提供指导的有用性。 CESM是一个开源模型，由国家大气研究中心托管和支持，拥有全球用户社区。 该计划还将在地球物理流体动力学实验室（GFDL）的气候模型中实施，由未获得该奖项资助的合作者实施。 此外，该奖项还支持关于气候模型中湍流、对流和云的年度研讨会，该研讨会是从事云和PBL参数化研究的研究人员进行互动的场所。 该项目支持三个博士后，从而发展未来的气候模型开发的劳动力。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

The texture of atmospheric humidity: Near-surface turbulence in precipitating cumulus convection

大气湿度的结构：降水积云对流中的近地表湍流

• DOI: 10.1103/aps.dfd.2022.gfm.p0007
• 发表时间: 2022
• 期刊: 75th Annual Meeting of the American Physical Society’s Division of Fluid Dynamics (APS DFD
• 作者: Matheou, Georgios;Venters, Ravon;Lamaakel, Oumaima;Teixeira, Joao
• 通讯作者: Teixeira, Joao

Large-eddy simulation of cumulus clouds

积云大涡模拟

• DOI: 10.1103/physrevfluids.7.110507
• 发表时间: 2022
• 期刊: Physical Review Fluids
• 影响因子: 2.7
• 作者: Matheou, Georgios