Understanding the role of deep flaming in violent pyroconvective events. This project aims to improve the prediction of firestorms by combining state-of-the-art knowledge of dynamic bushfire behaviour with atmospheric models to provide a comprehensive understanding of how the heat and moisture released by a bushfire interacts with ambient atmospheric instability to produce extreme fire events. Firestorms represent the most extreme and catastrophic phase of development of a bushfire. They often c ....Understanding the role of deep flaming in violent pyroconvective events. This project aims to improve the prediction of firestorms by combining state-of-the-art knowledge of dynamic bushfire behaviour with atmospheric models to provide a comprehensive understanding of how the heat and moisture released by a bushfire interacts with ambient atmospheric instability to produce extreme fire events. Firestorms represent the most extreme and catastrophic phase of development of a bushfire. They often cause broad-scale loss of property, environmental damage and human fatalities. Firestorms cannot be suppressed, and so accurate and timely warnings of their occurrence, combined with appropriate community responses, are the only way of mitigating their effects. Better understanding of extreme fire processes may improve mitigation planning, community safety, environmental outcomes and emergency response measures.Read moreRead less
Understanding the Origin and Development of Extreme and Mega Bushfires. Extreme and megafires result in significant damage to property and infrastructure and are associated with large suppression costs. These events form when separate fires Merge. Their increase occurrence in recent seasons highlights 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 experiment ....Understanding the Origin and Development of Extreme and Mega Bushfires. Extreme and megafires result in significant damage to property and infrastructure and are associated with large suppression costs. These events form when separate fires Merge. Their increase occurrence in recent seasons highlights 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 to improve risk modelling and mitigation planning for fire-prone communities.Read moreRead less