Bushfire models

September 7, 2020 — August 19, 2020

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Figure 1: American forest fire 1904. No further metadata because Internet archive took their content off Flickr

Press: Silicon valley wildfire spotting.

bushfire.io aggregates bushfire information.

Wildfire & Emergency Management

Figure 2

1 References

Dabrowski, Pagendam, Hilton, et al. 2023. “Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires.” Spatial Statistics.

Hilton, Sullivan, Swedosh, et al. 2018. “Incorporating Convective Feedback in Wildfire Simulations Using Pyrogenic Potential.” Environmental Modelling & Software.

Mandel, Beezley, Coen, et al. 2009. “Data Assimilation for Wildland Fires.” IEEE Control Systems Magazine.

Rochoux, Emery, Ricci, et al. 2015. “Towards Predictive Data-Driven Simulations of Wildfire Spread – Part II: Ensemble Kalman Filter for the State Estimation of a Front-Tracking Simulator of Wildfire Spread.” Natural Hazards and Earth System Sciences.

Rochoux, Ricci, Lucor, et al. 2014. “Towards Predictive Data-Driven Simulations of Wildfire Spread – Part I: Reduced-Cost Ensemble Kalman Filter Based on a Polynomial Chaos Surrogate Model for Parameter Estimation.” Natural Hazards and Earth System Sciences.

Rothermel. 1972. A Mathematical Model for Predicting Fire Spread in Wildland Fuels.