F-Air originated from the QualeAria project as a tool to support the management and control of the operational execution of Integrated Modeling Chains for air quality forecasting.
In use since 2009, F-Air has progressively gained increased modularity and flexibility, allowing users the freedom to customize modeling chains for both operational applications and research studies.
Alternative modules are already available to manage:
- Input Data: From various sources including monitoring networks and large-scale models (GFS, ECMWF, COSMO, COPERNICUS).
- Meteorological and Air Quality Models: Such as RAMS, WRF, FARM, SPRAY.
- Post-Processing Configurations: Including maps, tables, spatial and temporal aggregated data, statistical analyses, and performance evaluations.
Developed in Python 3 and based on the FireWorks framework, F-Air can be easily extended to accommodate new input data or numerical codes as required by the user.
The system architecture allows for the automation of data flow control and the management of most exceptions by sending notifications upon process completion or error.
Easily portable, it can be installed both on-premise HPC systems and in cloud computing environments.
webF-Air is the web application designed to interface with the system manager.
Through an easy-to-understand interface, webF-Air allows users immediate remote access to running processes via common web browsers, including on mobile devices.
The application can interface with one or more independent F-Air installations to monitor the status of operational processes and review the produced outputs.
By accessing a selection of templates tailored to the user’s specific needs, new simulations can be configured and launched on remote servers.