Workshop: Modeling Research in the Cloud; Boulder Colorado; Spring 2017

这个项目是计划，组织和主持一个社区研讨会，以探索推进“云建模研究”的潜力。该研讨会将于2017年春季在UCAR位于科罗拉多州博尔德的设施举行，将汇集学术界，政府和私营部门（包括主要云计算供应商）的研究人员，教育工作者，学生，预测人员和信息技术（IT）专业人员。具体而言，研讨会的参与者将讨论在云计算环境中进行建模研究的机遇，挑战和好处，以及在天气和气候预测和过程研究中实现范式转变的手段和潜力。为了实现讲习班的目标，将邀请上述各部分的约30名与会者参加讲习班。知识价值：云计算代表了IT服务开发、部署、运营和支付方式的根本性变革，将科学界特别是天气和气候预测界置于一个重大范式转变的中间。对于研究人员来说，云似乎是一个潜在的途径，可以在传统的超级计算中心之外访问重要的计算资源，进行端到端建模研究，使对高性能计算资源、大量存储和前所未有的大量数据的访问民主化。历史上，建模社区主要依赖于高性能计算设施（例如，NCAR-Wyoming Supercomputing facility和XSEDE）和本地计算集群来执行其预测。随着云计算的成熟和重大进展，它最近已成为通过互联网托管和提供广泛服务的替代新模式。该研讨会的目的是促进对云计算能力的各个方面进行深入讨论，并制定将云计算能力纳入天气和气候预测领域的方法，根据其使用模式、需求和资源，确定大气科学界谁将最大限度地受益和利用云计算，并讨论这种整合对推进发现的重要性。该研讨会将帮助社区努力实现大气预测研究的转型，使研究人员和教育工作者能够以更创新，更有效和更富有成效的方式开展工作，并超越其现有知识和方法的界限。 除了使计算机的使用民主化之外，该讲习班还有可能改变大气预测研究的进行方式。云计算提供了额外的机会，以提高学生的数据，网络和地理空间素养，并在此过程中的下一代劳动力的发展，通过实现真实的数据和网络支持的查询。有迫切需要为学生了解和利用快速发展和不断发展的网络基础设施，数据相关的技术，和数据支持的科学探究模式。 该研讨会将吸引研究生，为提高他们在数据科学，大数据，云计算和专业发展方面的技能提供机会。讲习班的成果还将通过Unidata通讯和在科学和计算会议上的介绍，包括AMS和AGU会议，广泛传播。

This project is to plan, organize and host a community workshop to explore the potential for advancing "Modeling Research in the Cloud." The workshop, to be held in Spring 2017 at UCAR's facilities in Boulder, CO, will assemble researchers, educators, students, forecasters, and information technology (IT) professionals in academia, government and the private sector (including major cloud computing vendors). Specifically, the workshop participants will discuss the opportunities, challenges, and benefits of performing modeling research in a cloud computing environment and the means to and potential for enabling a paradigm shift in the conduct of weather and climate prediction and process studies. To achieve the workshop goals, about 30 participants from the aforementioned segments will be invited to the workshop.Intellectual Merit:Cloud computing represents a fundamental change in the way IT services are developed, deployed, operated, and paid for, placing science communities in general and weather and climate prediction community in particular in the middle of a major paradigm shift. The cloud appears to be a potential avenue for researchers to gain access to significant computing resources beyond the traditional supercomputing center for end-to-end modeling studies, democratizing access to high performance computing resources, vast amounts of storage, and unprecedented access to large volumes of data.Historically, the modeling community has relied mostly on high performance computing facilities (e.g., NCAR-Wyoming Supercomputing facility and XSEDE) and local computing clusters to perform their predictions. With the maturity of and significant advances in cloud computing, it has recently emerged as an alternative new paradigm for hosting and delivering a broad array of services over the Internet. The purpose of the workshop is to facilitate an in-depth discussion of the myriad aspects and formulate approaches for integrating cloud computing capabilities into the weather and climate prediction landscape, to identify atmospheric sciences communities, based on their usage patterns, needs, and resources, who would best benefit and utilize it, and discuss the significance of such integration for advancing discoveries.Broader Impacts:The workshop will help the community to work toward a transformation in the conduct of atmospheric prediction studies, enabling researchers and educators to carry out their work in more innovative, efficient, and productive ways and push beyond the boundaries of their current knowledge and approaches. In addition to democratizing access to computing, the workshop has the potential for transforming the conduct of atmospheric prediction studies. Cloud computing affords additional opportunities to advance data, cyber and geospatial literacy of students, and in the process the development of the next generation workforce, by enabling authentic data- and cyber-enabled inquiries.There is a compelling need for students to understand and take advantage of rapidly developing and evolving cyberinfrastructure, data-related technologies, and data-enabled modes of scientific inquiry. The workshop will engage graduate students, offering opportunities for enhancing their skills in data science, big data, cloud computing, and professional development. The results of the workshop will also be disseminated broadly through Unidata newsletters and presentations at scientific and computing conferences, including the AMS and AGU meetings.