Earth Prediction Innovation Center

Congratulations to members of the EPIC Team on the acceptance of their abstracts at #AMS2025. The meeting is the world's largest yearly gathering for the weather, water, and climate community. The next meeting is taking place in New Orleans, LA, January 12-16, 2025.? Read more about the abstracts and presenters at bit.ly/40O7PPo

In under a year, NOAA NOS, EPIC, NCAR, and others established the UFS Coastal App, integrating key ocean, wave, and weather models to support coastal forecasting. Leveraging Unified Workflow Tools and CI/CD pipelines, this project streamlined development, allowing for efficient testing and faster integration of model components. The success of this effort highlights the power of coordinated engineering practices and open-source tools to advance coastal prediction capabilities for U.S. communities. Read more at bit.ly/3YSkeQZ

NOAA is dedicated to enhancing extreme weather forecasts with innovative Earth System models. The Global Forecast System version 17 (GFSv17) will bring medium-range forecasts at a 9-kilometer scale, while the Global Ensemble Forecast System version 13 (GEFSv13) will provide sub-seasonal forecasts at 25 kilometers. Together, GFSv17/GEFSv13 physics suites are the starting point of the atmospheric component of UFS-based Seasonal Forecast System (SFSv1), paving the way for seasonal forecasts at a 50-kilometer resolution. Read more about how UFS physics developers work together to advance the physics parameterizations using a unified approach at bit.ly/4g5C6hd

Today we honor and appreciate all the men and women who have selflessly served the U.S. during times of war and peace. We admire and thank you for your bravery, your dedicated service, and the sacrifices you've made — with special gratitude for our EPIC veterans!

Join us for this month's UFS webinar featuring Dr. Joseph Mouallem from Princeton University. He’ll be discussing new grid-related capabilities in the Geophysical Fluid Dynamics Laboratory (GFDL)’s Finite-Volume Cubed-Sphere Dynamical Core, including multiple nested grids and the innovative Duo-Grid system. Learn more and register at bit.ly/4eaYunX

In under a year, NOAA NOS, EPIC, NCAR, and others established the UFS Coastal App, integrating key ocean, wave, and weather models to support coastal forecasting. Leveraging Unified Workflow Tools and CI/CD pipelines, this project streamlined development, allowing for efficient testing and faster integration of model components. The success of this effort highlights the power of coordinated engineering practices and open-source tools to advance coastal prediction capabilities for U.S. communities. Read more at bit.ly/3YSkeQZ

New training is available on building and running the containerized Global Workflow using spack-stack v1.8.0. This video will focus on forecast-only tasks, with options for advanced extensions. It's ideal for both NOAA and non-NOAA researchers who want to work directly with UFS applications. Discover more here: bit.ly/40r2367

Congratulations to the entire EPIC team for receiving recognition in the 2024 Raytheon Annual Engineering Award for Outstanding Use of Engineering Methods and Processes! Although this award is specifically for Raytheon members, it reflects the shared innovation and effort across EPIC. Well done to everyone involved! Shown in photo: Scott Allison (VP) Chris Domanti (Program Manager) Aaron Jones (Release Train Engineer) Keven Blackman (Solutions Architect) Edward Snyder (Software Engineer) Zachary Shrader (Product Owner – EPIC Community Engagement) Anna Kimball (Software Engineer and Platform team Scrum Master) Michael Anderson (VP)

EPIC and the UFS Community are proud to announce the public release of the UFS Land Data Assimilation (DA) System v2.0.0. This release reflects changes currently available in the UFS land-DA_workflow development branch. It features a coupled configuration that combines the UFS WM Noah-MP land component with the data atmosphere (DATM) component. Its data assimilation framework uses the Joint Effort for Data assimilation Integration (JEDI) software stack. Key features include an updated workflow that better conforms to NCO Implementation Standards; integration of uwtools to generate the Rocoto workflow XML file from a structured, YAML-based configuration layer; and validation of analysis outputs using both the CTest framework and the baseline regression test. Read more about the release at bit.ly/3NNAAE0