Collaborative Research: CDI-Type II: 4 Dimensional Visualization of Past Ocean Circulation from Paleoceanographic Data

合作研究：CDI-Type II：根据古海洋数据对过去海洋环流进行 4 维可视化

• 批准号: 1125422
• 负责人: Howard Spero
• 金额: $ 77.11万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1125422&HistoricalAwards=false
• 关键词: Collaborative; Research; CDI; Type; II

One of the fundamental challenges in the study of past climate change in Earth history is how to reconstruct and compare past ocean circulation (as derived from sparse geochemical data collected from fossils in deep-sea sedimentary cores) with modern ocean circulation (as constructed from modern oceanographic observations and computer simulations) to yield insight into the differences and processes governing ocean circulation throughout the last glacial cycle from 150,000 years ago to the present. Similarly, a major challenge in computer science is how to extract information from sparse datasets, and how to effectively combine computational thinking with automated data analysis, to extract new knowledge about features and processes. Our multidisciplinary and multi-institutional project brings together a team of computer scientists, physical oceanographers, paleoceanographers, and computational geophysicists to address these challenges. We are developing an innovative suite of computational tools to explore past changes in global ocean circulation by allowing researchers to interact with data in a 3-dimensional environment across a geologically relevant time domain (the 4th dimension). This project will merge analysis of ocean flow with 40 years of previously-collected geochemical data from deep-sea sedimentary cores in order to gain new insights into past ocean circulation change. Our research will take advantage of the unique analytical resources and interdisciplinary collaborative environment provided by the UC Davis KeckCAVES (W.M. Keck Center for Active Visualization in the Earth Sciences). The KeckCAVES provides immersive interactive visualization technologies that help scientists identify meaningful patterns in complex datasets. In this unique collaborative environment, we are developing methods to improve data interpolation, to extract ocean flow patterns, and to characterize ocean flow over time for potential change detection, along with interactive means of visualizing and interacting with those large and time-dependent datasets. The computational methods developed in this project are adaptable to a wide range of visualization and data-analysis applications for analysis of flow fields. The scientific visualization methods we develop will be used to develop innovative, provocative, and intuitive instructional materials for undergraduate and graduate education; for making other researchers familiar with new scientific methodology (visually-aided analysis); for bringing science and scientific results to the public; and for bringing interactive scientific visualization technology to all of the partner institutions in this collaborative project.

研究地球历史上过去的气候变化的基本挑战之一是如何重建和比较过去的海洋环流（源自深海沉积岩心化石收集的稀疏地球化学数据）与现代海洋环流（根据现代海洋学观测和计算机模拟构建），以深入了解从15万年前至今的最后一个冰川周期中控制海洋环流的差异和过程。同样，计算机科学的一个主要挑战是如何从稀疏数据集中提取信息，以及如何有效地将计算思维与自动化数据分析结合起来，以提取有关特征和过程的新知识。我们的多学科和多机构项目汇集了计算机科学家、物理海洋学家、古海洋学家和计算地球物理学家的团队来应对这些挑战。我们正在开发一套创新的计算工具，通过让研究人员能够跨地质相关时域（第四维）与 3 维环境中的数据进行交互，来探索全球海洋环流过去的变化。该项目将对海洋流分析与之前从深海沉积岩心收集的 40 年地球化学数据相结合，以获得对过去海洋环流变化的新见解。我们的研究将利用加州大学戴维斯分校 KeckCAVES（W.M. Keck 地球科学主动可视化中心）提供的独特分析资源和跨学科协作环境。 KeckCAVES 提供沉浸式交互式可视化技术，帮助科学家识别复杂数据集中有意义的模式。在这个独特的协作环境中，我们正在开发改进数据插值的方法，提取海洋流动模式，并描述海洋流动随时间的变化以检测潜在的变化，以及可视化和与这些大型且与时间相关的数据集交互的交互式方法。该项目开发的计算方法适用于流场分析的各种可视化和数据分析应用。我们开发的科学可视化方法将用于为本科生和研究生教育开发创新、挑衅性和直观的教学材料；让其他研究人员熟悉新的科学方法（视觉辅助分析）；将科学和科学成果带给公众；以及为该合作项目中的所有合作机构带来交互式科学可视化技术。