Frameworks: Large Scale Atmospheric Research Using an Integrated WRF Modeling, Visualization, and Verification Container Framework (I-WRF)

康奈尔大学和国家大气研究中心I-WRF项目正在为天气研究和预报（WRF）模型开发和部署一个集成的多容器框架，以实现具有验证和可视化功能的多节点容器模拟。I-WRF为希望在多个平台（从台式机到云和超级计算机）上并行使用WRF的多学科研究人员降低了门槛。通过更容易和更有效地使用这组应用程序，I-WRF使更广泛的研究人员（大气科学家，土木工程师，农业科学家等）可以访问大气建模，他们不再需要自己设置和维护一套复杂的软件应用程序。可移植性、可追溯性和部署多节点容器化框架的便便性，支持了联合国气候变化会议和NSF工程研究愿景联盟关于工程在应对气候变化中的作用的建立所预示的对未来可能气候状态的更多更好的模拟的迫切需求。I-WRF应用程序容器包含主要由NCAR开发的软件工具。这些工具包括WRF模型和模型评估工具（METplus），以及为交互式调查而增强的可视化和分析工具。I-WRF容器经过优化，可以在多个平台上运行，并能够对具有高水平空间离散性的大型域进行并行分析。它们将在容器存储库中免费提供，并可通过常用工具发现。采用者可以使用I-WRF容器组件来构建和修改他们自己的容器，从而节省时间，提高整体容器可用性，并在科学界内部和科学界之间实现共享。为了证明容器的有效性，将对一系列用例进行扩展研究。其中包括研究可再生能源发电在气候变化中的演变，土地利用和气候变化对恶劣天气事件的影响，以及空气质量与人类发病率和死亡率之间的关系。三名博士后将参与用例研究。在台式机上运行I-WRF多节点模拟的能力将克服目前在NCAR和大学课程中训练学生使用WRF的障碍。该项目由计算机与信息科学与工程理事会高级网络基础设施办公室和地球科学理事会提供支持。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。

The Cornell University and National Center for Atmospheric Research I-WRF Project is developing and deploying an integrated multi-container framework for the Weather Research and Forecasting (WRF) model to enable multi-node containerized simulations complete with verification and visualization capabilities. I-WRF lowers the bar for multidisciplinary researchers who wish to use WRF in parallel on multiple platforms, ranging from desktops to clouds and supercomputers. By enabling easier and more effective use of this set of applications, I-WRF makes atmospheric modeling accessible to a broader range of researchers (atmospheric scientists, civil engineers, agricultural scientists, etc.) who no longer must set up and maintain a complex suite of software applications on their own. The portability, traceability, and ease of deploying the multi-node containerized framework supports the urgent need for more and better simulations of possible future climate states signaled by the UN Climate Change Conference and the establishment of the NSF Engineering Research Visioning Alliance on The Role of Engineering in Addressing Climate Change.I-WRF application containers incorporate software tools developed mainly at NCAR. These include the WRF model and Model Evaluation Tools (METplus), as well as visualization and analysis tools that are enhanced for interactive investigations. I-WRF containers are optimized to run on multiple platforms and to enable parallel analysis of large domains with a high level of spatial discretization. They will be freely available at a container repository and discoverable with common tools. Adopters can use the I-WRF container components to build and modify their own containers, thus saving time and increasing overall container availability and sharing within and between scientific communities. To prove container validity, scaling studies will be performed on a range of use cases. These include examining the evolution of renewable energy generation in a changing climate, the effect of land use and climate change on severe weather events, and the relation between air quality and human morbidity and mortality. Three postdocs will engage in the use case studies. The ability to run I-WRF multi-node simulations on desktops will overcome current obstacles in training students to use WRF at NCAR and in university course curricula.This project is supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer & Information Science & Engineering and the 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.