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The Earth Prediction Innovation Center (EPIC), the Office of Modeling and Development (OMD), and the Unified Forecast System (UFS) community are proud to announce the public release of the Community Global Workflow (GW) v1.0.0!
This is the first time EPIC is releasing the Community GW framework, which provides an end‑to‑end workflow designed to run global configurations of medium range numerical weather forecasting for the UFS-Weather Model (WM). It is built to support both research and operational implementations. The GW framework is a unified, configurable workflow system that orchestrates all components required to execute a full global forecast cycle. It is a combination of several model components seamlessly integrated into an end-to-end workflow to pre-process, analyze, generate, post-process, and verify forecast data. GW eliminates the need for manual stitching of these model components and ensures consistency between operational forecasts and research experiments. The Community GW v1.0.0 supports Global Forecast System (GFS), Global Ensemble Forecast System (GEFS), Global Chemistry and Aerosol Forecast System (GCAFS), and Seasonal Forecast System (SFS) model configurations. The Community GW v1.0.0 release builds on the operational workflow developed at NOAA OMD and extends it for community use through EPIC, enabling new users, researchers, developers, and partners to build and run the available configurations.
The GW v.1.0.0 User’s Guide and Contributors Guide are available in this GW documentation to provide further information about the GW framework, including instructions for running and testing the Application. Data files required to run the Global Workflow Application are available to the public through OMD’s global data bucket and EPIC’s GW v1.0.0 Data Bucket.
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The Earth Prediction Innovation Center (EPIC), the Office of Modeling and Development (OMD), and the Unified Forecast System (UFS) community are proud to announce the public release of the Community Global Workflow (GW) v1.0.0!
This is the first time EPIC is releasing the Community GW framework, which provides an end‑to‑end workflow designed to run global configurations of medium range numerical weather forecasting for the UFS-Weather Model (WM). It is built to support both research and operational implementations. The GW framework is a unified, configurable workflow system that orchestrates all components required to execute a full global forecast cycle. It is a combination of several model components seamlessly integrated into an end-to-end workflow to pre-process, analyze, generate, post-process, and verify forecast data. GW eliminates the need for manual stitching of these model components and ensures consistency between operational forecasts and research experiments. The Community GW v1.0.0 supports Global Forecast System (GFS), Global Ensemble Forecast System (GEFS), Global Chemistry and Aerosol Forecast System (GCAFS), and Seasonal Forecast System (SFS) model configurations. The Community GW v1.0.0 release builds on the operational workflow developed at NOAA OMD and extends it for community use through EPIC, enabling new users, researchers, developers, and partners to build and run the available configurations.
The GW v.1.0.0 User’s Guide and Contributors Guide are available in this GW documentation to provide further information about the GW framework, including instructions for running and testing the Application. Data files required to run the Global Workflow Application are available to the public through OMD’s global data bucket and EPIC’s GW v1.0.0 Data Bucket.
Interested users may visit EPIC’s GW landing page to access related resources and receive additional support through the NOAA/EMC GitHub Discussions Forum by
For more information about this release, including contributors, see the GW release article on the EPIC Community Portal!
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