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Filters: Author is Thomas Duff
Determining threshold conditions for extreme fire behaviour - final project report. (Bushfire and Natural Hazards CRC, 2022).
Determining threshold conditions for extreme fire behaviour - annual report 2019-2020. (Bushfire and Natural Hazards CRC, 2020).
Effect of weather forecast errors on fire growth model projections. International Journal of Wildland Fire (2020). doi:https://doi.org/10.1071/WF19199
Exploring the key drivers of forest flammability in wet eucalypt forests using expert-derived conceptual models. Landscape Ecology 35, 1775–1798 (2020).
Determining threshold conditions for extreme bushfire behaviour annual report 2018-2019. (Bushfire and Natural Hazards CRC, 2019).
Determining Threshold Conditions for Extreme Fire Behaviour Annual Report 2017-2018. (Bushfire and Natural Hazards CRC, 2019).
Determining threshold conditions for extreme fire behaviour. (Bushfire and Natural Hazards CRC, 2018).
Extreme fire behaviours: Surveying fire management staff to determine behaviour frequencies and importance. AFAC18 (Bushfire and Natural Hazards CRC, 2018).
A lightning-caused wildfire ignition forecasting model for operational use. Agricultural and Forest Meteorology 253-254, 16 (2018).
Determining threshold conditions for extreme fire behaviour: annual project report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
Determining threshold conditions for extreme fire behaviour: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).
Wind speed reduction induced by post-fire vegetation regrowth. AFAC16 (Bushfire and Natural Hazards CRC, 2016).
Determining threshold conditions for extreme fire behaviour: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).
Erratum to “Using discrete event simulation cellular automata models to determine multi-mode travel times and routes of terrestrial suppression resources to wildland fires". European Journal of Operational Research 245, 339-340 (2015).
Using discrete event simulation cellular automata models to determine multi-mode travel times and routes of terrestrial suppression resources to wildland fires. European Journal of Operational Research 241, 763-770 (2015).
Quantifying spatio-temporal differences between fire shapes: Estimating fire travel paths for the improvement of dynamic spread models. Environmental Modelling & Software 46, 33-43 (2013).
Procrustes based metrics for spatial validation and calibration of two-dimensional perimeter spread models: A case study considering fire. Agricultural and Forest Meteorology 160, 110 - 117 (2012).