Crown fire initiation of a thunderstorm

Author:

McCarthy Nicholas F.ORCID,McGowan Hamish,Guyot Adrien,Dowdy Andrew,Sturgess Andrew,Twomey Ben

Abstract

Understanding bushfire–atmosphere interactions is essential for accurate prediction of fire behaviour, and for the safe and effective strategic management of fires to mitigate risk to people and property. Bushfires with feedbacks to thunderstorms represent the most extreme form of fire–atmosphere interaction, with potential to initiate tornadoes, lightning and hazardous winds causing dangerous fire behaviour and new ignitions many kilometres from the fire front. However, there is very little evidence that links quantitative fire behaviour with observed thunderstorm dynamics. Here we combine stochastic modelling of fire behaviour with satellite and mobile weather radar data of a bushfire thunderstorm in Queensland, Australia. The results show the coupling between fire behaviour and thunderstorm development in a conditionally unstable atmosphere. The process by which the coupling occurs raises questions as to the cause and effect relationship of the bushfire-initiated thunderstorms and associated fire behaviour. Recommendations for future research are made, highlighting the need for understanding links between modelled and observed fire behaviour dynamics and atmospheric thermodynamics.

Funder

University of Queensland Collaborative Industry Engagement Funding

Queensland Fire and Emergency Services

Country Fire Authority

Publisher

CSIRO Publishing

Subject

Ecology,Forestry

Reference52 articles.

1. Limitations on the accuracy of model predictions of wildland fire behaviour: a state-of-the-knowledge overview.;The Forestry Chronicle,2013

2. Arizona Department of Forestry and Fire Management (2013) ‘Yarnell Hill Fire: Serious Accident Investigation Report.’ (Office of the State Forester: Phoenix, AZ, USA)

3. Bluestein HB (2013) ‘Severe Convective Storms and Tornadoes. Vol. 10’. pp. 978–973. (Springer: Heidelberg, Germany)

4. Correcting Himawari-8 Advanced Himawari Imager data for the production of vivid true-color imagery.;Journal of Atmospheric and Oceanic Technology,2019

5. Prediction of fire spread in grasslands.;International Journal of Wildland Fire,1998

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