EarthCube Capabilities: PaleoCube: Enabling Cloud-Based Paleoclimatology

地球过去气候的记录（例如，来自树木年轮、海洋沉积物、冰和珊瑚）是了解气候系统能力的关键，也是测试用于预测未来气候的气候模型的关键。目前，有许多社会和技术障碍阻碍了充分利用这些古气候观测来为建模提供信息。palecube建议通过将不同观点的科学家带到云端工作来降低这些障碍。数据和代码将通过黑客马拉松、网络研讨会和YouTube教程共享，旨在让参与气候科学不同方面的科学家在公平竞争的环境中参与，同时培养地球科学工作人员的能力。paleoccube将使用和扩展现有的网络基础设施（LinkedEarth、Pangeo、Jupyter）、新兴的数据标准和科学Python生态系统（包括对pandas库的扩展，以适应更通用的时间表示），将科学家带到存储在云中的数据和相关的可重复工作流程。拟议的活动将使这些工具易于访问，促进与Scientific Python Stack的互操作性，并建立一个可重复的科学工作流的大型库，经验不足的用户可以模拟和修改以满足自己的目的。通过提供简单和免费的大规模交互式计算访问，再加上教学示例和黑客马拉松，PaleoCube将扩大对代表性不足群体的地球科学参与，丰富STEM管道，并为地球科学从业者和爱好者提供可转移的数据科学技能。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Records of Earth’s past climates (e.g., from tree rings, marine sediments, ice, and corals) are key to understanding what the climate system is capable of and for testing the climate models used to project future climate. At present, there are a number of social and technical barriers that prevent the full use of these paleoclimate observations to inform modeling. PaleoCube proposes to lower these barriers by bringing scientists of diverse perspectives to work in the Cloud. The data and code will be shared through hackathons, webinars, and YouTube tutorials designed to engage scientists involved in different aspects of climate science on an even playing field while building capacity among the geoscientific workforce.PaleoCube will use and extend upon existing cyberinfrastructure (LinkedEarth, Pangeo, Jupyter), emerging data standards, and the scientific Python ecosystem (including an extension to the pandas library to accommodate more general time representations) to bring scientists to the data and associated reproducible workflows stored in the cloud. The proposed activities will make these tools accessible, facilitate interoperability with the Scientific Python Stack, and build a large library of reproducible scientific workflows that inexperienced users can emulate and modify to serve their own purposes. By providing easy and free access to interactive computing at scale, coupled with didactic examples and hackathons, PaleoCube will broaden participation in the geosciences to under-represented groups, enrich the STEM pipeline, and provide transferable data science skills to geoscience practitioners and enthusiasts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.