As the trend for larger and more frequent wildfires continues, a team of scientists, engineers, technologists, firefighters and government and industry professionals is working on a project, called WIFIRE, to build an end-to-end cyberinfrastructure for simulation, prediction and visualization of wildfire behavior.
The WIFIRE system will analyze wildfire dynamics with specific emphasis on the climate. The system will integrate heterogeneous satellite information and remote sensor data by computational techniques like signal processing, visualization, modeling and data assimilation to develop a scalable method to monitor weather patterns and predict the spread of a wildfire.
The project started with a three-year, $2.65 million grant to the University of California at San Diego in October 2013 when participants in the project began integration and cataloging of data from sensors, satellites and scientific models to create scalable wildfire models. Participants include the San Diego Supercomputer Center (SDSC), the California Institute for Telecommunications and Information Technology’s Qualcomm Institute and the University of Maryland.