Cyberinfrastructure for Sustained Scientific Innovation - Software Elements: Cloud WRF for the Atmospheric Research and Education Communities

持续科学创新的网络基础设施 - 软件元素：面向大气研究和教育社区的 Cloud WRF

• 批准号: 1835511
• 负责人: Jordan Powers
• 金额: $ 28.42万
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835511&HistoricalAwards=false
• 关键词: Cyberinfrastructure; Sustained; Scientific; Innovation; Software; Cyberinfrastructure; Sustained; Scientific; Innovation; Software

This award supports the establishment of an officially-supported version of the Weather and Research Forecast (WRF) model in the cloud environment. WRF is the world's most popular numerical weather prediction model and is supported by the National Center for Atmospheric Research (NCAR) for a community of users across universities, research labs, and operational weather centers. This project will address fundamental issues such as modeling system accessibility, improvement of model support to the research and educational user communities, student and scientist training, and facilitation of model development. Given WRF's prominence in both atmospheric research and real-time weather forecasting, this work will not only promote the advancement of science, but also will contribute to the vigor of development and application of one of the nation's cyberinfrastucture (CI) assets, a key weather prediction model used at operational centers and for public purposes. Furthermore, this project will contribute to education at minority-serving institutions and will yield tools to better the training of new generations of the nation's atmospheric scientists. Lastly, the project will leverage the resources and support of commercial cloud service providers to serve these national interests, in a collaboration of the principal researchers with industry.The viability of running the WRF in the cloud has been previously demonstrated, and this project would advance the field by configuring and supporting the official version of the WRF in the cloud, with an up-to-date, cloud-configured version of the WRF system code synced to the WRF GitHub repository. Other materials that will be available include the WRF tutorial materials and system documentation, WRF input and output datasets, and the WRF Testing Framework code analysis package. The project will produce a configured and documented cloud WRF system that will open a new arena for model use and that will enhance the efficiency of both user support and the integration of contributed model improvements. This cloud capability will exploit an emerging common cyber-ground to facilitate code development for the target model and allow for critical reproducibility in code analysis and testing. It will advance the delivery of modeling system tutorials, and thus scientist training and education, through establishing globally-accessible modeling spaces, enhancing instruction portability and access, decreasing costs for host institutions, and improving usability of on-line materials. These new cloud capabilities will be addressing bottlenecks in model support and development, and once developed, the CI can be adapted for other community models, thus benefiting other scientific disciplines and their tools via its reuse.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Cross-Cutting Program within the NSF Directorate for Geosciences.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.

该奖项支持在云环境中建立官方支持的天气和研究预测（WRF）模型。 WRF是世界上最受欢迎的数值天气预测模型，并得到国家大气研究中心（NCAR）的支持，适用于大学，研究实验室和运营天气中心的用户社区。 该项目将解决基本问题，例如建模系统可访问性，改善对研究和教育用户社区的模型支持，学生和科学家培训以及促进模型开发。鉴于WRF在大气研究和实时天气预测中的突出性，这项工作不仅会促进科学的发展，而且还将有助于该国的网络养育（CI）资产之一的发展和应用，这是一种在运营中心和公共目的和公共目的中使用的关键天气预测模型。 此外，该项目将在少数派服务机构的教育中做出贡献，并将产生工具，以改善对美国大气科学家的新一代培训。 Lastly, the project will leverage the resources and support of commercial cloud service providers to serve these national interests, in a collaboration of the principal researchers with industry.The viability of running the WRF in the cloud has been previously demonstrated, and this project would advance the field by configuring and supporting the official version of the WRF in the cloud, with an up-to-date, cloud-configured version of the WRF system code synced to the WRF GitHub repository. 其他可用的材料包括WRF教程材料和系统文档，WRF输入和输出数据集以及WRF测试框架代码分析包。 该项目将生产一个配置和记录的云WRF系统，该系统将为模型使用开放新的领域，并提高用户支持的效率和贡献模型改进的集成。 这种云能力将利用新兴的通用网络地面，以促进目标模型的代码开发，并允许在代码分析和测试中进行重要的可重复性。 它将通过建立全球访问的建模空间，增强教学携带性和访问权限，降低主机机构的成本以及提高在线材料的可用性，从而提高建模系统教程的交付，从而提高科学家培训和教育。 These new cloud capabilities will be addressing bottlenecks in model support and development, and once developed, the CI can be adapted for other community models, thus benefiting other scientific disciplines and their tools via its reuse.This award by the NSF Office of Advanced Cyber​​infrastructure is jointly supported by the Cross-Cutting Program within the NSF Directorate for Geosciences.This award reflects NSF's statutory mission and has been deemed值得通过基金会的智力优点和更广泛的影响审查标准来通过评估来支持。