In September 2013, the University of California at San Diego (UCSD) was awarded a grant to build an end-to-end cyberinfrastructure (CI), called WIFIRE, for real-time and data-driven simulation, prediction and visualization of wildfire behavior. The San Diego Supercomputer Center (SDSC) and Calit2's Qualcomm Institute are building this integrated CI system to support social-ecological resilience to the changing fire ecology regime in the face of urban dynamics and climate change, together with collaborators from UCSD's Jacobs School of Engineering and UMD's Department of Fire Protection Engineering.
The WIFIRE CI integrates networked observations, e.g., heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling and data assimilation to provide a scalable, technological, and educational solution to monitor weather patterns to predict a wildfire's Rate of Spread. Our collaborative WIFIRE team of scientists, engineers, technologists, government policy managers, private industry, and firefighters architect and implement CI pathways that enable joint innovation for wildfire management. Scientific workflows are used as an integrative distributed programming model and simplify the implementation of engineering modules for data-driven simulation, prediction and visualization while allowing integration with large-scale computing facilities.