Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-69-2019
https://doi.org/10.5194/gmd-12-69-2019
Development and technical paper
 | 
03 Jan 2019
Development and technical paper |  | 03 Jan 2019

RandomFront 2.3: a physical parameterisation of fire spotting for operational fire spread models – implementation in WRF-SFIRE and response analysis with LSFire+

Andrea Trucchia, Vera Egorova, Anton Butenko, Inderpreet Kaur, and Gianni Pagnini

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Cited articles

Albini, F. A.: Spot fire distance from burning trees: a predictive model, Technical Report INT-56, U.S. Department of Agriculture Forest Service Intermountain Forest and Range Experiment Station, 1979.
Albini, F. A.: Potential Spotting Distance from Wind-Driven Surface Fires, Research Paper INT-309, U.S. Department of Agriculture Forest Service Intermountain Forest and Range Experiment Station, 1983.
Alexander, M. E.: Calculating and interpreting forest fire intensities, Can. J. Bot., 60, 349–357, 1982.
Anderson, H. E.: Aids to determining fuel models for estimating fire behavior. General Technical Report INT-122, Tech. rep., Intermountain Forest and Range Experiment Station, Ogden, UT, 1982.
Andrews, P. and Chase, C.: BEHAVE: Fire behavior prediction and fuel modeling system: BURN subsystem, part 2, Research Paper INT-260, USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, Utah 84401, 1989.
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Short summary
Wildfires are a concrete problem and impact on human life, property and the environment. An extremely dangerous phenomenon is so-called fire spotting, i.e., the generation of secondary ignitions responsible for dangerous flare-ups during wildfires. The aim of this research was to improve the tools used for risk management through the inclusion of fire spotting in operational wildfire simulators used by forest service agencies.