Running UFS Global-workflow on AWS, Azure and Google Cloud

Global-workflow (GW) is the end-to-end workflow designed to run global configurations of medium range weather forecasting for the Unified Forecast System (UFS) weather model. It supports both development and operational implementations. To effectively engage the weather enterprise and enable community modeling via the UFS, the Earth Prediction Innovation Center (EPIC) has successfully implemented GW on Amazon Web Service (AWS), a widely used computing platform that can make the model more accessible to the numerical weather prediction community. With this capability, EPIC will work closely with Weather enterprise inside and external to NOAA to train interested researchers to use GW on AWS, starting with tutorials on how to create clusters on NOAA parallelworks, how to clone GW on AWS, and then how to compile and run GW on AWS. EPIC will also start to invest how to run GW more efficiently, and how to run both on standard resolutions (e.g., C96, C192) and higher resolution (e.g., C768) UFS model and Data Assimilation on AWS, and other cloud platforms like Azure, and Google Cloud.