CDS&E-ENG: A Novel Approach for Oceanographic Explorations: Multi-Scale Modeling and Simulation using CFD Enabled by AUVs Data

这项资助的研究目标是通过移动的传感器网络收集的数据进行计算，以了解负责海洋运输的基本机制。 水的运动为地球化学和生物通量提供能量，并在所有海洋深度的大空间尺度上发生。 湍流是海洋流动的一个自然特征，在沉积物、污染物和营养物等物质如何在周围环境中分散和沉积方面发挥着重要作用。 尽管进行了广泛的研究，但由于缺乏直接测量，对海洋湍流及其对沉积物夹带和迁移等物质迁移过程的影响程度仍然知之甚少。 在这项研究中，多尺度建模和仿真方法使用的计算模型，数据使专门设计的自主水下航行器将被追求。 如果成功，这项研究将大大加强海洋观测，并将使以前无法获得的测量。该项目将纳入计算和数据驱动的科学的最新发展，并将联合收割机他们与经典的工作，在本科生和研究生水平的创新教育计划;这个跨学科的项目将强调基本的理解计算和动力系统的过程。 仅UCF的工程和计算机科学学院就有24%的少数民族（非洲裔美国人，西班牙裔和美国印第安人）和14%的女性。 这种多样化的学生群体使少数民族和女学生能够参加这个项目。 此外，通过该赠款支持的外联活动，该项目将促进更广泛人群对计算和动力系统科学的兴趣，并更普遍地促进跨学科的科学和工程文化，这将对所有学生的职业生涯产生长期影响。

The research objective of this grant is to understand the fundamental mechanisms responsible for marine transport through computations that are enabled by data collected through a mobile sensor network. The movement of water provides the energy for geochemical and biological fluxes and occurs over large spatial scales at all ocean depths. Turbulence is a natural characteristic of ocean flows and plays an important role in how materials such as sediment, pollutants and nutrients are dispersed and deposited in the surrounding environment. In spite of the extensive studies, ocean turbulence and the extent to which it influences mass transport processes, such as sediment entrainment and transport, remain poorly understood because of the lack of direct measurements. In this research, a multi-scale modeling and simulation approach using computational models that are data-enabled by specially designed autonomous underwater vehicles will be pursued. If successful, this research will significantly enhance the ocean observations and will enable previously unobtainable measurements.This project will incorporate recent developments in computational and data-enabled sciences and will combine them with classical work into an innovative educational program at the undergraduate and graduate levels; this interdisciplinary project will emphasize fundamental understanding of the underlying computational and dynamical system processes. UCF's College of Engineering and Computer Science alone has an undergraduate student population of 24 percent minority (African-American, Hispanic, and American Indian) and 14 percent female. This diverse student population enables the recruitment of minority and female students into this project. In addition, through outreach activities supported by this grant, this project will foster an interest in computational and dynamical systems sciences in the broader population and more generally promote an interdisciplinary scientific and engineering culture that will have a long-term impact on all students throughout their careers.