EPIC's Impacts
EPIC collaborated with NOAA NOS and NCAR to establish 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. Read more >
UFS Replay Dataset
The UFS replay dataset was created by the NOAA Physical Sciences Laboratory (PSL) and EPIC’s Senior Data Scientist, Mariah Pope, to create a useful reanalysis dataset that could be leveraged as a training dataset for machine learning models. Mariah Pope was instrumental in curating the Zarr replay datasets on Google Cloud Platform (GCP) through her help in staging the 1-degree FV3 and MOM6 data.
Kris Booker from EPIC collaborated with Ben Cash from George Mason University to develop a proof of concept using Apptainer (formerly Singularity) to run the UFS weather model on academic HPC platforms. This approach overcomes technical barriers, allowing containers to run without administrative privileges. While still in the refinement phase, this innovation will simplify UFS deployment processes, making weather modeling research and development more accessible to the UFS community. Read more >
Fast-Track Your SRW App Experiment
Christopher R., a new SRW App user, faced challenges in setting up his experiment. Our support team guided him through relevant documentation and provided configuration suggestions. The result? His experiment is now successfully running.
“This was outstanding! The model is now numerically integrating forward in time on Cheyenne… I appreciate your help!”
– Christopher R.
GitHub Training at UIFCW 2023
Lack of GitHub knowledge can hinder even the best scientists from contributing to the UFS. At UIFCW 2023, our training equipped attendees—from students like Delton W. to NOAA experts like Songyou H.—to contribute code on GitHub, paving the way for diverse contributions to the UFS.
