Export 25 results:
Filters: Author is Thomas Duff
2022
Filkov, A., Duff, T. & Penman, T. Determining threshold conditions for extreme fire behaviour - final project report. (Bushfire and Natural Hazards CRC, 2022).
2020
Filkov, A., Duff, T. & Penman, T. Determining threshold conditions for extreme fire behaviour - annual report 2019-2020. (Bushfire and Natural Hazards CRC, 2020).
Penman, T. et al. Effect of weather forecast errors on fire growth model projections. International Journal of Wildland Fire (2020). doi:https://doi.org/10.1071/WF19199
Cawson, J. et al. Exploring the key drivers of forest flammability in wet eucalypt forests using expert-derived conceptual models. Landscape Ecology 35, 1775–1798 (2020).
2019
Filkov, A., Duff, T. & Penman, T. Determining threshold conditions for extreme bushfire behaviour annual report 2018-2019. (Bushfire and Natural Hazards CRC, 2019).
Filkov, A., Duff, T. & Penman, T. Determining Threshold Conditions for Extreme Fire Behaviour Annual Report 2017-2018. (Bushfire and Natural Hazards CRC, 2019).
Filkov, A., Duff, T. & Penman, T. Frequency of Dynamic Fire Behaviours in Australian Forest Environments. Fire 3, (2019).
2018
Filkov, A., Duff, T. & Penman, T. Determining threshold conditions for extreme fire behaviour. (Bushfire and Natural Hazards CRC, 2018).
Filkov, A., Duff, T. & Penman, T. Extreme fire behaviours: Surveying fire management staff to determine behaviour frequencies and importance. AFAC18 (Bushfire and Natural Hazards CRC, 2018).
Filkov, A., Duff, T. & Penman, T. Improving Fire Behaviour Data Obtained from Wildfires. Forests 9, (2018).
Read, N., Duff, T. & Taylor, P. A lightning-caused wildfire ignition forecasting model for operational use. Agricultural and Forest Meteorology 253-254, 16 (2018).
2017
Filkov, A., Duff, T. & Penman, T. Determining threshold conditions for extreme fire behaviour: annual project report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
2016
Duff, T., Penman, T. & Filkov, A. Determining threshold conditions for extreme fire behaviour: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).
Quill, R. et al. Wind speed reduction induced by post-fire vegetation regrowth. AFAC16 (Bushfire and Natural Hazards CRC, 2016).
2015
Duff, T. & Penman, T. Determining threshold conditions for extreme fire behaviour. (2015).
Duff, T. & Penman, T. Determining threshold conditions for extreme fire behaviour: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).
Duff, T., Chong, D. & Tolhurst, K. G. 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).
Duff, T., Chong, D. & Tolhurst, K. G. 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).
2013
Duff, T., Chong, D. & Tolhurst, K. G. 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).
Chong, D., Tolhurst, K. G., Duff, T. & Cirulis, B. Sensitivity Analysis of PHOENIX RapidFire. (2013).
2012
Chong, D., Duff, T. & Tolhurst, K. G. Evaluation of weather data at different spatial and temporal scales on fire behaviour prediction using PHOENIX RapidFire 4.0 - Kilmore Case Study. (2012).
Chong, D., Tolhurst, K. G. & Duff, T. Incorporating Vertical Winds into PHOENIX RapidFire's Ember Dispersal Model. (2012).
Chong, D., Tolhurst, K. G. & Duff, T. PHOENIX RapidFire 4.0 Convection and Ember Dispersal Model. (2012).
Chong, D., Tolhurst, K. G. & Duff, T. PHOENIX RapidFire 4.0's Convective Plume Model. (2012).
Duff, T., Chong, D., Taylor, P. & Tolhurst, K. G. 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).