Numerical Analysis And Scientific Computing

数值分析与科学计算

• 批准号: CRC-2020-00002
• 负责人: Bihlo, Alexander
• 金额: $ 7.29万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730844
• 关键词: Numerical; Analysis; Scientific; Computing

Numerical simulations are crucial for obtaining realistic weather and climate simulations. In this project, Dr. Bihlo will develop new classes of numerical methods that are particularly suitable for long-term simulations, which are required for example in climate prediction. This will be accomplished by using the geometric properties of the equations describing the atmosphere-ocean system, such as symmetries and conservation laws, as guiding principle for designing these numerical methods. Dr. Bihlo will showcase this procedure for several important models from geophysical fluid dynamics, that are routinely used as benchmarks for developing new numerical methodologies in this field.

数值模拟对于获得现实的天气和气候模拟至关重要。在该项目中，Bihlo博士将开发新的数值方法类别，这些方法特别适合长期模拟，例如在气候预测中所需的。这将通过使用描述大气 - 海洋系统的方程式的几何特性来实现，例如对称和保护定律，作为设计这些数值方法的指导原理。 Bihlo博士将向地球物理流体动力学的几个重要模型展示此过程，这些模型通常用作在该领域开发新数值方法论的基准。