Collaborative Research: EarthCube Data Capabilities: Project Pythia: A Community Learning Resource for Geoscientists

皮提亚项目将提供一个公共的、可通过网络访问的培训资源，帮助教育当前和有抱负的地球科学家更有效地利用科学巨蟒生态系统和云计算来理解海量的数字科学数据。在超级计算机上运行的数值模拟被用于研究气候、天气、大气化学、野火、空间天气等。同样，在强大的计算机和软件的帮助下，通过数值模拟或用仪器进行观测产生的大量数字数据被分析。因此，科学家需要能够有效地分析、处理和理解潜在的海量数据。该项目侧重于科学界最近出现并正在采用的两项技术：云计算平台和围绕开放源码编程语言Python构建的科学工具软件生态系统。皮提亚项目将建设和部署一个值得信赖的、面向社区的教育和培训资源，以提高与地球科学数据分析有关的所有领域的计算能力，并特别强调将工作流程转移到云端。皮提亚项目将利用Jupyter笔记本电脑作为培训范例、课程的主要交付机制，并作为交互计算平台。皮蒂亚项目的内容将托管在GitHub上，并使用开放开发模式进行维护，这种模式将促进和鼓励广大用户社区的贡献，并有助于确保该项目的长期可持续性。内容开发和新用户增长将通过奥尔巴尼纽约州立大学的数据密集型课堂和研究活动来促进。这个结果将成为世界上最受欢迎的社区网站之一，供想知道要使用什么工具以及如何使用它们来探索地球科学数据的地球科学家和学生使用。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Project Pythia will provide a public, web-accessible training resource that will help educate current, and aspiring, earth scientists to more effectively use both the Scientific Python Ecosystem and Cloud Computing to make sense of huge volumes of numerical scientific data. Numerical simulations run on supercomputers are used in the study of climate, weather, atmospheric chemistry, wildfires, space weather, and more. Similarly, a tremendous volume of digital data produced by numerical simulations, or observations made with instruments, are analyzed with the help of powerful computers and software. Scientists thus need to be able to effectively analyze, manipulate, and make sense of potentially vast volumes of data. This project focuses on two technologies that have emerged and are being adopted by scientific communities relatively recently: Cloud Computing platforms and a software ecosystem of scientific tools built around the open source programming language called Python. Project Pythia will construct and deploy a trusted, community-oriented education and training resource to improve computing literacy in all areas relevant to the analysis of geoscientific data, with a particular emphasis on moving workflows to the Cloud. Project Pythia will leverage Jupyter Notebooks as the primary delivery mechanism for training examples, curricula, and as an interactive computing platform. The content for Project Pythia will be hosted on GitHub and maintained using an Open Development model that will facilitate and encourage contributions from a broad user community, as well as help ensure the long-term sustainability of the project. Content development and new user growth will be catalyzed through data-intensive classroom and research activities at SUNY at Albany. The result will be one of the world's go-to, community-owned sites for geoscientists and students who want to know what tools to use and how to use them to explore geoscience data.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.