Collaborative Research: Visualization, analysis, and HPC modeling of subglacial hydrology from high-resolution 3D conduit scans acquired with a novel sensor

合作研究：通过新型传感器获取的高分辨率 3D 管道扫描对冰下水文进行可视化、分析和 HPC 建模

• 批准号: 1503928
• 负责人: Xiaofeng Liu
• 金额: $ 27.24万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1503928&HistoricalAwards=false
• 关键词: Collaborative; Research; Visualization; analysis; HPC

This project will examine the processes controlling the flow of water through and beneath an Arctic glacier. The hydraulic properties of glaciers are a major factor influencing the rate at which glaciers slide on the underlying rock. Understanding subglacial flow is critical to developing models that accurately predict how glaciers will behave in response to warming climate and how glaciers will contribute to sea level rise. For outreach and educational purposes, the project will develop a web-based, interactive fluid dynamics tutorial concerning subglacial conduits. A project web site will also be developed. The project will contribute to workforce development by supporting the training of a graduate student and by providing partial support for three early-career scientists. This study will perform three-dimensional computational fluid dynamics (CFD) large eddy simulations (LES) of turbulent flows in a subglacial conduit using realistic surfaces and mesh boundaries. The computations will be done using 3D high-performance computing. The conduit geometry and roughness will be based on a unique set of field measurements made on a Svalbard glacier using with a modified video-game controller at mm resolution. The result of this effort is a first-ever high resolution visualization of a real subglacial conduit and the first subglacial LES simulations with realistic geometry. Results will be compared with model output using the more standard Darcy-Weisbach or Manning formulations. The study will provide improved insights into hydrological processes in mountain glaciers and large ice sheets such as the Greenland Ice Sheet.

该项目将研究控制北极冰川及其下方水流的过程。冰川的水力特性是影响冰川在下伏岩石上滑动速度的主要因素。了解冰下流动对于开发准确预测冰川如何应对气候变暖以及冰川如何导致海平面上升的模型至关重要。 出于推广和教育目的，该项目将开发一个有关冰下管道的基于网络的交互式流体动力学教程。 还将开发一个项目网站。 该项目将通过支持一名研究生的培训以及为三名早期职业科学家提供部分支持来促进劳动力发展。 本研究将使用真实表面和网格边界对冰下管道中的湍流进行三维计算流体动力学 (CFD) 大涡模拟 (LES)。计算将使用 3D 高性能计算来完成。导管的几何形状和粗糙度将基于在斯瓦尔巴冰川上使用改良的视频游戏控制器以毫米分辨率进行的一组独特的现场测量。这项工作的成果是首次实现了真实冰下管道的高分辨率可视化，以及首次具有真实几何形状的冰下 LES 模拟。结果将与使用更标准的 Darcy-Weisbach 或 Manning 公式的模型输出进行比较。 该研究将为山地冰川和格陵兰冰盖等大型冰盖的水文过程提供更好的见解。