Enhancing Community-Focused Data Assimilation Innovation Initiatives at EPIC

The Earth Prediction Innovation Center (EPIC) is developing a community-focused Global Data Assimilation System (GDAS) Proxy Application to enhance Data Assimilation (DA) capabilities within the Unified Forecast System (UFS). The GDAS application is built and run using the global-workflow system developed by the National Centers for Environmental Prediction (NCEP) and the Joint Effort for Data Assimilation Integration (JEDI) framework for DA. Using the end-to-end prototype GDAS application, a Jupyter Notebook-based tutorial was developed to assist with installing and initializing a test cycling run of the GDAS application. The Jupyter Notebook tutorial was designed to simplify the setup, execution, and analysis of the GDAS application on NOAA's Mississippi State University High-Performance Computing (HPC) environments and serves as a practical tool for the UFS community. This presentation aims to highlight the effectiveness of the GDAS Application and the Jupyter Notebook tutorial. Increasing the accessibility of DA applications to users in academia, the DA workforce, and students, can promote broader community engagement and innovation in DA., which can ultimately enhance DA capabilities in NWP models.