Bushfire models


Press: Silicon valley wildfire spotting.

References

Hilton, J. E., A. L. Sullivan, W. Swedosh, J. Sharples, and C. Thomas. 2018. “Incorporating Convective Feedback in Wildfire Simulations Using Pyrogenic Potential.” Environmental Modelling & Software 107 (September): 12–24. https://doi.org/10.1016/j.envsoft.2018.05.009.
Mandel, Jan, Jonathan D. Beezley, Janice L. Coen, and Minjeong Kim. 2009. “Data Assimilation for Wildland Fires.” IEEE Control Systems Magazine 29 (3): 47–65. https://doi.org/10.1109/MCS.2009.932224.
Rochoux, M. C., C. Emery, S. Ricci, B. Cuenot, and A. Trouvé. 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 15 (8): 1721–39. https://doi.org/10.5194/nhess-15-1721-2015.
Rochoux, M. C., S. Ricci, D. Lucor, B. Cuenot, and A. Trouvé. 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 14 (11): 2951. https://doi.org/10.5194/nhess-14-2951-2014.
Rothermel, Richard C. 1972. A Mathematical Model for Predicting Fire Spread in Wildland Fuels. Vol. 115. Intermountain Forest & Range Experiment Station, Forest Service, US ….

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