Collaborative Research: Ocean Drilling Data, Discovery, Global Visualization and Synthesis

合作研究：海洋钻探数据、发现、全球可视化和综合

• 批准号: 0726288
• 负责人: William Ryan
• 金额: $ 5.13万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0726288&HistoricalAwards=false
• 关键词: Collaborative; Research; Ocean; Drilling; Data

ABSTRACT (Ryan/Cervato)OCE-0726288/0726122Intellectual Merit: This research provides a means to allow realization of the full intellectual impact of 40 years of ocean floor drilling through newly developed computer visualization techniques for desktop computing environments. The primary goal of the work is the development of computational models that convert all vertical depth below seafloor information to geologic age so sediment characteristics of the same age can be brought together, viewed, compared, and analyzed. The approach allows synthesis of data that was previously difficult to compare. Validation of the approach is demonstrated by a successful proof of concept study for 96 Legs of the Deep Sea Drilling Project. The approach combines web mapping and web feature services with 3-D virtual globe visualization applications such as GeoMapApp and Google Earth. The project represents a collaboration of the Columbia University GeoMapApp group with the CHRONOS Project team at Iowa State University. Broader Impacts: This work will enhance access and promote wider use of NSF-funded Ocean Drilling data from the global oceans through an easy-to-use interface that allows drill core data to be plotted against age, thus increasing the infrastructure for science and education. The web-user interface and tools are also designed for outreach and education and are already being used in classrooms across the country. The web utility being developed will delivered data directly onto virtual globes to transform discovery by the public into inquiry and learning.

摘要(Ryan/Cervato)OCE-0726288/0726122智能优点：这项研究提供了一种方法，通过新开发的用于桌面计算环境的计算机可视化技术，实现40年来海底钻探的全部智力影响。这项工作的主要目标是开发计算模型，将海底以下的所有垂直深度信息转换为地质年龄，以便将相同年龄的沉积物特征集中在一起，进行查看、比较和分析。该方法允许合成以前难以比较的数据。深海钻探项目96段的成功概念验证研究证明了该方法的有效性。该方法将Web地图和Web要素服务与GeoMapApp和Google Earth等3D虚拟地球可视化应用程序相结合。该项目代表了哥伦比亚大学GeoMapApp团队与爱荷华州立大学Chronos项目团队的合作。更广泛的影响：这项工作将通过一个易于使用的界面，加强对NSF资助的全球海洋钻探数据的获取和推广，该界面允许绘制钻探岩心数据与年龄的关系图，从而增加科学和教育的基础设施。网络用户界面和工具也是为推广和教育而设计的，已经在全国各地的教室中使用。正在开发的网络实用程序将直接将数据传送到虚拟地球上，将公众的发现转变为查询和学习。