Deploying an Educational JupyterHub for Exploratory Data Analysis, Visualization, and Running Idealized Weather Models on the Jetstream2 Cloud

The Unidata Program Center dedicates two software engineers to the development and maintenance of a science gateway meant to serve the members of the Earth Systems Science community. Unidata collaborated with one such community member, Dr. Greg Blumberg of the Department of Earth Sciences at Millerville University, in order to provide three undergraduate courses in atmospheric science with access to a custom JupyterHub cluster on the Jetstream2 Cloud boasting preconfigured environments, a shared network drive, and the capability to enable machine learning education and the execution of the Weather Research and Forecasting (WRF) model. The implementation of these features through the Kubernetes orchestration engine is discussed in detail, including initial failures of the Unidata Science Gateway team and the resolution of the issues that arose as a result. The performance of WRF executed at scale using JupyterHub is discussed at a surface level, with more study necessary to make further conclusions. Finally, feedback from Dr. Blumberg, both positive and constructive, is discussed along with specific use cases for the cyberinfrastructure.