Project: Risk & Decision Science

Bushfire reconstructions: Developing a data solution to support simulator evaluation

The compilation and analysis of large bushfire reconstruction datasets is an invaluable resource for both researchers and agencies. Exploration of past fires provides a unique opportunity to assess the accuracy and performance of bushfire simulators. Critical analysis of historical fire events may also assist in the development of more accurate predictive models and enhance our ability to anticipate and mitigate future fire risks. This project seeks to develop and provide a robust and standardised framework for collating complex datasets, for use in testing and validating bushfire simulators. A key outcome from this study will be the development of a centralised, consolidated dataset designed with the intention of being useful to both government and the broader bushfire community.

Project timeline: 12/2023 – 07/2024

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