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: 1125181
• 负责人: Lorraine Lisiecki
• 金额: $ 30.32万
• 依托单位: University of California-Santa Barbara
• 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=1125181&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气候变化的根本挑战之一是如何重建和比较过去的海洋环流（根据从深海沉积岩芯中的化石收集的稀疏地球化学数据得出）（根据现代海洋学观测和计算机模拟构建）深入了解从15万年前到现在的整个末次冰期循环中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数据分析联合收割机结合起来，以提取关于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，古海洋学家和计算海洋学家团队，以应对这些挑战。我们正在开发一套创新的计算工具，以探索全球海洋环流过去的变化，使研究人员能够在地质相关的时间域（第四维）的三维环境中与数据进行交互。该项目将把洋流分析与过去40年从深海沉积岩芯收集的地球化学数据结合起来，以便对过去的海洋环流变化有新的认识。我们的研究将利用独特的分析资源和跨学科的合作环境，由加州大学戴维斯分校的洞穴（W.M.凯克地球科学主动可视化中心（Keck Center for Active Visualization in Earth Sciences）该实验室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，我们正在开发方法来改进数据插值，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，沿着与这些大型和时间相关的数据集可视化和互动的互动方式。在这个项目中开发的计算方法适用于广泛的可视化和数据分析应用程序的流场分析。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的、挑衅性的和直观的教学材料;使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;并将交互式科学可视化技术带给该合作项目中的所有合作机构。