WIFIRE helps firefighters get a jump on wildfires
WIFIRE helps firefighters get a jump on wildfires
04 September 2014
published by National Science Foundation
USA — Wildfire suppression costs in the United States have averaged $1.54 billion annually for the last 10 years. So how are we becoming more prepared for these disasters?
The NSF supported WIFIRE initiative, led jointly by the University of California (UC), San Diego, and the University of Maryland, will better monitor, predict and mitigate wildfires in the future. Take a look to see just exactly how this wildfire monitoring system will help to monitor environmental conditions and predict where and how fast a wildfire will spread.
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In recent years, the number and scale of wildfires in the U.S. has risen, threatening cities and forests, and forcing large-scale evacuations. The National Science Foundation (NSF) is supporting the WIFIRE initiative, led jointly by the University of California (UC), San Diego, and the University of Maryland, to better monitor, predict and mitigate wildfires in the future.
WIFIRE merges observations, such as satellite imagery and real-time data from sensors in the field, with computational techniques like signal processing, visualization, modeling and data assimilation, to monitor environmental conditions and predict where and how fast a wildfire will spread. The project is part of the NSF Hazards SEES program, which enhances sustainability through the use of advanced technologies and new methods.
Participants in WIFIRE include researchers from the San Diego Supercomputer Center (SDSC), the California Institute for Telecommunications and Information Technology’s (Calit2) Qualcomm Institute, and the Mechanical and Aerospace Engineering (MAE) department at UC San Diego’s Jacobs School of Engineering. Also participating in the project is the University of Maryland’s Department of Fire Protection Engineering.
WIFIRE helps firefighters get a jump on wildfires