The Weather On Demand Framework

This paper describes the Weather On Demand (WOD) forecasting framework which is a software stack used to run operational and on-demand weather forecasts. The WOD framework is a distributed system for: Running the WRF weather model for data-assimilation and forecasts by triggering either scheduled or on-demand jobs. Gathering upstream weather forecasts and observations from a wide variety of sources. Processing data for long to medium-term storage. Making results available through APIs. Making data files available to custom post-processors. Much effort is put into starting processing as soon as the required data becomes available, and in parallel where possible. In addition to being able to create short- to medium-range weather forecasts for any location on the globe, users are granted access to a plethora of both global and regional weather forecasts and observations, as well as seasonal outlooks from the National Oceanic and Atmospheric Admin-istration (NOAA) in the USA through WOD integrated APIs. All this information can be inte-grated with third party software solutions via the WOD APIs. The software is maintained in Git and can be installed on suitable hardware, bringing the full flexibility and power of the WRF modelling system to the user in a matter of hours.