实现社区多层次空气质量模型 (CMAQ) 版本 5.3.3 的高性能云计算:性能评估和用户社区的好处
Christos I Efstathiou1, Elizabeth Adams1, Carlie J Coats1
1Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Geoscientific model development
|November 6, 2024
概括
社区多层次空气质量模型 (CMAQ) 现在可以在云平台上访问,使研究人员能够更有效地进行复杂的空气质量模拟. 这种进步为环境命运,运输和影响研究提供了优化的资源.
科学领域:
- 环境科学环境科学
- 大气中的化学成分
- 计算建模计算建模
背景情况:
- 社区多层次空气质量模型 (CMAQ) 是空气质量模拟的关键工具,由全球监管机构和研究人员使用.
- CMAQ支持对环境命运,运输,气候和健康影响的研究.
- 高性能计算 (HPC) 对于复杂的空气质量模拟至关重要.
研究的目的:
- 为了使CMAQ在云平台上可访问,以提高计算能力.
- 为主要云服务提供商 (CSP) 提供经过测试的技术.
- 为优化云中的空气质量模拟提供文档和教程.
主要方法:
- 为两个主要的CSP开发了CMAQ版本5.3.3配置.
- 创建了一个基准应用程序套件来测试和验证基于云的模拟组件.
- 资源包括在线文档,教程和缩放和优化指南.
主要成果:
- 现在,CMAQ已作为领先的CSP的测试技术堆提供.
- 资源可以在短暂的HPC集群上快速部署CMAQ,数据集和可视化工具.
- 展示了使用供应商资源进行基于云的CMAQ模拟的结果.
结论:
- 基于云的CMAQ可实现高效,可扩展的空气质量建模.
- 开发的资源使用户社区能够根据他们的需求调整云模拟.
- 确定了用于基于云的CMAQ的存储和计算架构的潜在优化领域.
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