WRF on the Cloud

LADCO is seeking to understand the best practices for submitting and managing multiprocessor computing jobs on a cloud computing platform. In particular, LADCO would like to develop a WRF production environment that utilizes cloud-based computing. The goal of this project is to prototype a WRF production environment on a public, on-demand high performance computing service in the cloud to create a WRF platform-as-a-service (PaaS) solution. The WRF PaaS must meet the following objectives:

• Configurable computing and storage to scale, as needed, to meet that needs of different WRF applications
• Configurable WRF options to enable changing grids, simulation periods, physics options, and input data
• Flexible cloud deployment from a command line interface to initiate computing clusters and spawn WRF jobs in the cloud