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

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报（WRF）模型版本。 WRF 是世界上最受欢迎的数值天气预报模型，由国家大气研究中心 (NCAR) 为来自大学、研究实验室和运营气象中心的用户社区提供支持。 该项目将解决一些基本问题，例如建模系统的可访问性、改进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报方面的突出地位，这项工作不仅将促进科学进步，而且将有助于激发国家网络基础设施（CI）资产之一——关键天气的开发和应用活力。用于运营中心和公共目的的预测模型。 此外，该项目还将为少数族裔服务机构的教育做出贡献，并将提供更好地培训国家新一代大气科学家的工具。最后，该项目将在主要研究人员与业界的合作下，利用商业云服务提供商的资源和支持来服务这些国家利益。在云中运行 WRF 的可行性先前已得到证明，该项目将推进通过在云中配置和支持 WRF 的官方版本，将最新的云配置版本的 WRF 系统代码同步到 WRF GitHub 存储库，从而实现现场部署。 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。 该项目将生成一个配置和记录的云 WRF 系统，该系统将为模型使用开辟一个新的领域，并将提高用户支持和贡献的模型改进集成的效率。 这种云功能将利用新兴的通用网络基础来促进目标模型的代码开发，并在代码分析和测试中实现关键的可重复性。 它将通过建立全球可访问的建模空间、增强指令的可移植性和访问性、降低主办机构的成本以及提高在线材料的可用性，促进建模系统教程的提供，从而促进科学家培训和教育。 这些新的云功能将解决模型支持和开发方面的瓶颈，一旦开发完成，CI 就可以适用于其他社区模型，从而通过其重用使其他科学学科及其工具受益。 NSF 高级网络基础设施办公室颁发的这一奖项是该奖项由 NSF 地球科学理事会内的跨领域计划共同支持。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。