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

该项目将开发和利用其科学家的能力，以“深入”研究大气和海洋流动的抽象统计数据，建立一个笔记本图书馆，对实际天气系统（在大气部分的工作中）或墨西哥湾漩涡（在海洋部分的工作中）有清晰的看法。研究人员将使用已经存在的流行且强大的开源软件组件来构建这个软件，因此它应该非常普遍适用，并且具有很长的未来。drillsdown软件的核心功能是集成数据查看器。前端将包括Jupyter notebook，这是一种非常流行的识字计算和科学再现的新方法。识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的代码，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）将确保它足够健壮和灵活，以服务于其他人。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，以促进统计数据与实例之间的联系，这是复杂系统科学的关键一步。为了对软件开发进行指导和压力测试，该团队将执行DRILSDOWN新启用的新型大气和海洋科学。在大气中，他们将研究一些不同但相关的已发表的高影响流事件的测量方法，这些事件被分类为对流层上层的罗斯比波破裂（或潜在涡度丝化），或对流层下层的极地水汽输送。三维案例研究将显示这些低海拔和高海拔描述之间的关系，基于每个测量的统计数据，这将使我们能够选择高-低、低-高和高-高测量的案例。这些不同的测量方法在描述这些高影响事件时是如何表现的，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涡流脱落的统计特征，环流是石油泄漏、飓风、渔业和其他危害和利益的重要洋流系统。对边缘情况（脱落/不脱落）的全面详细案例研究将有助于了解脱落过程的基础科学知识，并有助于改进客观测量它的算法，从而可以更有效、更快速地筛选大量可能的海流情景，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中。

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.