Extreme and mega fires result in significant damage to property and infrastructure and are associated with large suppression costs. These events occur when separate fires merge. Their increase occurrence in recent seasons highlight the importance of developing tools and technologies that better predict extreme events to aid fire response and inform strategies for greater resilience. This project combines fire field experiments with computer modelling to determine factors driving extreme fire development, and develop new knowledge and models. These enable better prediction of active fires, enhance the knowledge base of fire managers for critical decision making and improves risk modelling and mitigation planning for fire-prone communities.
Project timeline: 07/2021 – 06/2024