Collaborative Research: Enabling Cloud-Permitting and Coupled Climate Modeling via Nonhydrostatic Extensions of the CESM Spectral Element Dynamical Core
合作研究:通过 CESM 谱元动力核心的非静水力扩展实现云允许和耦合气候建模
基本信息
- 批准号:2332469
- 负责人:
- 金额:$ 50.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-02-15 至 2027-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Earth System Models (ESMs) are very computationally intensive to run, with components spanning the atmosphere, ocean, land, biosphere, and ice. These models are typically run at resolutions which are too coarse to explicitly represent weather systems like thunderstorm complexes, tropical cyclones, and terrain-forced precipitation. However, computing power is now sufficient to allow explicit simulation of these systems on a global domain using grid spacings of a few kilometers, albeit for simulations of weeks to months rather than the decades to centuries possible at lower resolutions. In this project, the research team will enhance the Community Earth System Model (CESM), led by the NSF National Center for Atmospheric Research (NCAR), with the capability to run as a Global Storm Resolving Model (GSRM). The GSRM version of CESM has tremendous potential as a tool for research on the weather-climate interface, particularly as CESM has a worldwide community of developers and users and is the primary model used by the US academic research community. As part of the project, multiple students and early career scientists would be trained at the intersection of atmospheric science and high-performance computing, enhancing a workforce that is crucially needed for scientific advancement.The main objective of the project is to lay the groundwork for simulations with CESM, which is comprised of individual models including the Community Atmosphere Model, for which version 7 (CAM7) is currently under development for release in 2024. CAM7's dynamical core uses the Spectral Element (SE) method to solve the equations of fluid motion under the hydrostatic approximation, in which the acceleration term is neglected in the vertical momentum equation. This project will port the nonhydrostatic SE dynamical core developed for the Department of Energy’s (DOE’s) Energy Exascale Earth System Model (E3SM) into CESM/CAM7. A second, more experimental version of the SE dynamical core meant to run on advanced computing architectures will also be ported. The researchers will then run CAM7 to test the ability to reproduce smaller-scale phenomena. Specifically, the project will: • Port DOE’s nonhydrostatic, Fortran-based, SE dynamical core into the CESM framework.• Integrate an experimental C++ version of the SE core into CESM with a GPU-enabled physics package from the NSF-funded EarthWorks project.• Test and demonstrate the capabilities of the new CESM configuration using mesoscale convective systems and tropical cyclones as exemplars.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.
地球系统模型(ESM)的运行是非常计算密集的,其组件横跨大气、海洋、陆地、生物圈和冰。这些模式通常以太粗糙的分辨率运行,无法明确表示雷暴复合体、热带气旋和地形强迫降水等天气系统。然而,现在的计算能力足以在全球范围内使用几公里的网格间距对这些系统进行显式模拟,尽管模拟时间是几周到几个月,而不是在较低分辨率下可能是几十年到几个世纪。在这个项目中,研究小组将增强由NSF国家大气研究中心(NCAR)领导的社区地球系统模式(CESM),使其能够作为全球风暴解析模式(GSRM)运行。CESM的GSRM版本作为天气-气候界面研究的工具具有巨大的潜力,特别是因为CESM拥有全球开发人员和用户社区,并且是美国学术研究界使用的主要模型。作为该项目的一部分,多名学生和早期职业科学家将在大气科学和高性能计算的交叉点接受培训,加强科学进步至关重要的劳动力。该项目的主要目标是为CESM的模拟奠定基础,CESM由包括社区大气模型在内的单个模型组成,其版本7(CAM7)目前正在开发中,将于2024年发布。S动力堆采用谱元方法求解静力近似下的流体运动方程,在垂直动量方程中忽略了加速度项。该项目将把为能源部的能量级地球系统模型(E3SM)开发的非静力SE动力核心移植到CESM/CAM7中。另一个更具实验性的SE Dynamic内核版本也将移植到高级计算架构上。然后,研究人员将运行CAM7来测试复制较小规模现象的能力。具体地说,该项目将:·PORT DOE的非静力、基于Fortran的SE动态核心纳入CESM框架。·将SE核心的实验C++版本与来自NSF资助的土方工程项目的启用GPU的物理包集成到CESM中。·以中尺度对流系统和热带气旋为例,测试和展示新的CESM配置的能力。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ramalingam Saravanan其他文献
Larger Cloud Liquid Water Enhances Both Aerosol Indirect Forcing and Cloud Radiative Feedback in Two Earth System Models
较大的云液态水增强了两个地球系统模型中的气溶胶间接强迫和云辐射反馈
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:5.2
- 作者:
Xi Zhao;Xiaohong Liu;Lin Lin;Yi Qin;M. Zelinka;S. A. Klein;Meng Zhang;Kai Zhang;P. Ma;Jiang Zhu;Zheng Lu;Ramalingam Saravanan - 通讯作者:
Ramalingam Saravanan
Antihyperlipidemic and antiperoxidative effect of Diasulin, a polyherbal formulation in alloxan induced hyperglycemic rats
- DOI:
10.1186/1472-6882-5-14 - 发表时间:
2005-06-22 - 期刊:
- 影响因子:3.400
- 作者:
Ramalingam Saravanan;Leelavinothan Pari - 通讯作者:
Leelavinothan Pari
Ramalingam Saravanan的其他文献
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{{ truncateString('Ramalingam Saravanan', 18)}}的其他基金
The Impact of Canonical and Non-canonical El Nino and the Atlantic Meridional Mode on Atlantic Tropical Cyclones
典型和非典型厄尔尼诺现象及大西洋经向模态对大西洋热带气旋的影响
- 批准号:
1347808 - 财政年份:2014
- 资助金额:
$ 50.78万 - 项目类别:
Standard Grant
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