CDI-Type I: A computational database for cyber-assisted discovery of oceanic mixing processes in multi-resolution, feature-driven simulations

将研究一个计算数据库，以便通过计算机发现通过模拟模拟的地球物理湍流中的时空输运和混合动力学。它将有可能识别涡流结构并及时跟踪它们来计算条件流量，从而量化这些结构的动力作用。该数据库为制定和验证假设提供了一个有效的可扩展框架。它将空间数据检索的命令式模型的机制与为不规则的依赖时间的结构的动态表示量身定做的强大计算设施相结合，克服了关系数据库在处理此类数据方面的局限性。这项研究的更广泛的影响在于它对国家计算机科学、地球科学和机械与航空航天工程的研究和教育基础设施的贡献；它将导致一种适用于任何涉及时间相关、多尺度物理现象的计算方法，并承认数学规则来表征被认为是动态重要的特征。两名博士生将接受培训，并将与各自领域外的合作者合作，实现跨学科教学和培训。研究成果将被整合到高性能计算课程中，该数据库将作为湍流和计算流体力学研究生课程的工具。调查产生的软件将被公开传播。调查人员将积极从代表性不足的群体中招募人员。

A computational database will be investigated for cyber-enabled discovery of spatio-temporal transport and mixing dynamics in geophysical turbulent flows modeled through simulation. It will be possible to identify vortical flow structures and follow them in time to compute conditional flow quantities, thereby, quantifying the dynamical role of these structures. The database provides an efficient extensible framework for formulating and validating hypotheses. It combines the machinery of an imperative model of spatial data retrieval with powerful computational facilities tailored to dynamic representations of irregular time-dependent structures, overcoming limitations of relational databases in handling such data. Broader impacts of this research are in its contributions to the national infrastructure for research and education in Computer Science, Geosciences and Mechanical and Aerospace Engineering; it will lead to a computational methodology applicable to any field that involves time-dependent, multi-scale physical phenomena and admits mathematical rules to characterize features that are posited to be dynamically important.Two Ph.D. students will be trained and will work together with collaborators outside their own fields, enabling cross-disciplinary teaching and training. Research results will be integrated into high-performance computing courses and the database will be used as a tool in graduate courses in turbulence and computational fluid dynamics. The software produced by the investigation will be disseminated publicly. The investigators will actively recruit from under-represented groups.