Efficient Solvers for and Simulation of Stratified Flows in High Aspect Ratio Oceanic Environments

高展弦比海洋环境中分层流的高效求解器和模拟

• 批准号: 0622662
• 负责人: Mohamed Iskandarani
• 金额: $ 40.6万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0622662&HistoricalAwards=false
• 关键词: Efficient; Solvers; Simulation; Stratified; Flows

ABSTRACT OCE-0622662The ocean is a global, turbulent fluid and thus even the very largest scales of flow and density fields are linked to small-scale mixing and wave processes. The need to resolve processes on such a spectrum of scales poses computational challenges. In this study, scientists from the University of Miami propose to develop, validate and apply a new efficient algorithm that is optimized for the high-aspect flow domains that re seen in the ocean. The algorithm will be able to perform non-hydrostatic simulations of small-scale processes which will improve the accuracy of nuermical simulations. These numerical models are currently used for research within the physical oceanography community but they also play a role in simulating climate. Thus, the study will have a broad impact. In addition, the study will support a PhD student who will be educated in the development of new numerical models.

海洋是一种全球性的湍流流体，因此即使是最大尺度的流动和密度场也与小尺度的混合和波动过程有关。 需要解决这样一个频谱的尺度上的过程提出了计算的挑战。在这项研究中，来自迈阿密大学的科学家们提出开发、验证和应用一种新的高效算法，该算法针对海洋中看到的高纵横向流域进行了优化。该算法将能够进行小尺度过程的非静力模拟，这将提高数值模拟的精度。这些数值模式目前用于物理海洋学界的研究，但它们也在模拟气候方面发挥作用。因此，这项研究将产生广泛的影响。此外，该研究将支持一名博士生，他将接受新数值模型开发方面的教育。