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: 1639722
• 负责人: Brian Mapes
• 金额: $ 80.82万
• 依托单位: University of Miami
• 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=1639722&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.

该项目将为其科学家开发和利用有关大气和海洋流动的抽象统计数据的能力，以建立一个笔记本库，对实际天气系统(在工作的大气部分)或墨西哥湾海洋涡流(在工作的海洋部分)有清晰的看法。研究人员将使用现有的流行和强大的开源软件组件来构建这个软件DRILSDOWN，因此它应该非常普遍适用，并有很长的未来。DRILSDOWN软件的核心功能将是集成数据查看器。前端将由Jupyter笔记本组成，这是一种非常受欢迎的新方法，用于识字计算和科学的重现性。识字计算允许人类可读的、有意义的、公开发布的文档具有嵌入的计算机可执行代码，任何人都可以重复这些代码来复制结果。如果用户希望看到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正的研究活动有用，而与专业软件开发人员的合作(以及使用流行的现有组件)将确保其足够强大和灵活，可以服务于其他用例，包括地球科学其他领域的研究人员。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新实现的新的大气和海洋科学。在大气中，他们将研究一些不同但相关的高影响气流事件的测量结果，这些测量结果被不同地归类为对流层上部的Rossby波破裂(或潜在涡度成丝)，或对流层下部的极地水蒸气输送。三维案例研究将根据每个测量的统计数据显示这些低海拔描述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-高测量的案例。这些不同的衡量标准如何表现出这些高影响事件的特征，以及它们可能如何协调和优化？在海洋中，类似的活动将是检查墨西哥湾环流涡流的统计特征，环流是石油泄漏、飓风、渔业和其他危险和利益的重要洋流系统。对边缘情况(脱落/不脱落)的详细案例研究将有助于基础科学对脱落过程的理解，并有助于改进客观测量这一过程的算法，以便能够更有效和更快速地筛选可能出现的海洋流动情况的大集合，并对现实的不确定性进行量化，例如在发生需要海洋预报的事件时。