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: 1124880
• 负责人: Geoffrey Gebbie
• 金额: $ 73.17万
• 依托单位: Woods Hole Oceanographic Institution
• 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 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1124880&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.

在研究地球历史上过去气候变化的研究中，基本挑战之一是如何重建和比较过去的海洋循环（从深海沉积岩心的化石中收集的稀疏地球化学数据得出）现代海洋循环与现代海洋循环（如现代海洋学观察和计算机模拟），以使差异与差异相比，从而使海洋循环逐渐循环。同样，计算机科学的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数据分析相结合，以提取有关功能和过程的新知识。我们的多学科和多机构项目汇集了一组计算机科学家，物理海洋学家，古温仪者和计算地球物理学家，以应对这些挑战。我们正在开发一组创新的计算工具套件，以通过使研究人员能够在地质相关的时域（第四维度）中与数据进行交互，以探索全球海洋循环的过去变化。该项目将从深海沉积核心中将海洋流与40年以前收集的地球化学数据合并，以便获得对过去海洋循环变化的新见解。我们的研究将利用UC Davis Keckcaves提供的独特的分析资源和跨学科协作环境（W.M. Keck凯克在地球科学中的主动可视化中心）。 Keckcaves提供了沉浸式的交互式可视化技术，可帮助科学家在复杂数据集中识别有意义的模式。在这个独特的协作环境中，我们正在开发改善数据插值，提取海洋流动模式并表征海洋流随时间流逝的潜在变化检测的方法，以及与那些大型且与时间相关的数据集可视化和互动的交互手段。该项目中开发的计算方法可适应广泛的可视化和数据分析应用，以分析流场。我们开发的科学可视化方法将用于开发本科和研究生教育的创新，挑衅和直观的教学材料；用于使其他熟悉新科学方法论的研究人员（视力辅助分析）；将科学和科学成果带给公众；并将交互式科学可视化技术带到这个合作项目中的所有合作伙伴机构。