EarthCube Building Blocks: Collaborative Proposal: That dot is a world! Drilling down from a statistics scatterplot to pre-populated case Notebooks

EarthCube 构建模块：协作提案：那个点就是一个世界！

• 批准号: 1639648
• 负责人: Yuan Ho
• 金额: $ 54.55万
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1639648&HistoricalAwards=false
• 关键词: EarthCube; Building; Blocks; Collaborative; Proposal

This project will develop and utilize capabilities for its scientists to "drill down" into abstract statistics about the flows of the atmosphere and ocean, to build a library of Notebooks with clear views of the actual weather systems (in the atmospheric part of the work) or Gulf of Mexico ocean eddies (in the ocean part of the work). The researchers will build this software, DRILSDOWN, using popular and powerful open-source software components that already exist, so it should be very generally applicable and have a long future. The power at the heart of the DRILSDOWN software will be the Integrated Data Viewer. The front end will consist of Jupyter Notebooks, a very popular new approach for literate computing and reproducibility of science. Literate computing allows a human-readable, meaningful, openly published document to have embedded computer-executable codes that can be repeated by anyone to replicate the results. The code can be adjusted if a user wants to see how analysis choices translate into outcomes. The involvement of scientists and a postdoc and and students will ensure the product development is useful to real research activities, while the collaboration with professional software developers (and the use of popular existing components) will ensure that it is robust and flexible enough to serve other ?use cases?, including researchers in other areas of geoscience.The project will develop and utilize new software called DRILSDOWN to facilitate the linking of statistics to instances, a key step in the science of complex systems. In order to guide and stress test the software development, the team will perform novel atmospheric and oceanic science newly enabled by DRILSDOWN. In the atmosphere, they will study some distinct but related published measures of high-impact flow events variously classified as Rossby wave breaking (or potential vorticity filamentation) in the upper troposphere, or as poleward water vapor transports in the lower troposphere. Three-dimensional case studies will show the relationship between these low- and high-altitude descriptions, based on statistics of each measure which will allow us to select cases with high-low, low-high, and high-high measures. How do these different measures perform at characterizing these high impact events, and how might they be reconciled and perhaps optimized? In the ocean, similar activity will be to examine statistical characterizations of eddy shedding from the Loop Current in the Gulf of Mexico, an important current system for oil spills, hurricanes, fisheries, and other hazards and interests. Full-detail case studies of marginal cases (shedding/ non-shedding) will inform fundamental science understanding of the shedding process, as well as helping to improve the algorithms for objectively measuring it, so that large ensembles of possible ocean flow scenarios can be more effectively and rapidly screened, with realistic uncertainty quantification, for instance in the event of an incident requiring ocean forecasts.

该项目将开发和利用其科学家“深入”研究大气和海洋流动的抽象统计数据的能力，以建立一个笔记本图书馆，清楚地了解实际天气系统（工作的大气部分）或墨西哥湾海洋漩涡（工作的海洋部分）。研究人员将使用已经存在的流行和强大的开源软件组件来构建这个软件DRILSDOWN，因此它应该是非常普遍适用的，并且有很长的未来。DRILSDOWN软件的核心功能是集成数据查看器。前端将包括一个非常受欢迎的新方法，识字计算和科学的再现性。文字计算允许人类可读的、有意义的、公开发布的文档嵌入计算机可执行代码，任何人都可以重复这些代码来复制结果。如果用户希望了解分析选择如何转化为结果，则可以调整代码。科学家、博士后和学生的参与将确保产品开发对真实的研究活动有用，而与专业软件开发人员的合作（以及使用流行的现有组件）将确保它足够强大和灵活，足以为其他人服务？用例？该项目将开发和利用名为DRILSDOWN的新软件，以促进将统计数据与实例联系起来，这是复杂系统科学的关键一步。为了指导和压力测试软件开发，该团队将执行DRILSDOWN新启用的新颖大气和海洋科学。在大气中，他们将研究一些不同的，但相关的高影响流事件的不同分类为罗斯贝波破碎（或位涡扰动）在对流层上部，或作为极向水汽输送在对流层下部公布的措施。三维案例研究将根据每个指标的统计数据显示这些低海拔和高海拔描述之间的关系，这将使我们能够选择具有高低、低高和高高指标的案例。这些不同的衡量标准如何表现这些高影响事件的特征，以及它们如何协调和优化？在海洋中，类似的活动将是研究墨西哥湾环流的涡流脱落的统计特征，这是石油泄漏、飓风、渔业和其他危害和利益的重要海流系统。边缘案例（脱落/非脱落）的全面详细案例研究将为脱落过程的基础科学理解提供信息，并有助于改进客观测量它的算法，以便更有效和快速地筛选可能的洋流情景的大集合，并对现实的不确定性进行量化，例如在需要海洋预报的事件发生时。