Bushfire models



Press: Silicon valley wildfire spotting.

bushfire.io aggregates bushfire information.

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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