A fully automated and integrated multi-scale forecasting scheme for emergency preparedness

The models are run in sequence to generate the layers of data necessary during an actual event. The sequence is fully automated using Python and Shell scripts, which allow users to interact with each model through a series of Graphical User Interfaces. The development of technology described here would not only satisfy the scope of the project, but also be of great significance to national homeland security in the area of emergency preparedness and response.