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

海洋是一种全球性的湍流流体，因此，即使是最大尺度的流场和密度场也与小尺度的混合和波动过程有关。需要在如此多的尺度上解决过程，这就带来了计算挑战。在这项研究中，迈阿密大学的科学家们提议开发、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比流域进行了优化。该算法将能够对小尺度过程进行非静力模拟，从而提高数值模拟的精度。这些数值模型目前用于物理海洋学领域的研究，但它们也在模拟气候方面发挥了作用。因此，这项研究将产生广泛的影响。此外，这项研究将支持一名博士生，他将接受开发新的数值模型的教育。

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.