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

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

doi:https://doi.org/10.5194/gmd-12-69-2019

Articles | Volume 12, issue 1

https://doi.org/10.5194/gmd-12-69-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-69-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

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

Model code and software

LSMLIB K. T. Chu and M. Prodanovic http://ktchu.serendipityresearch.org/software/lsmlib/

fireLib C. D. Bevins https://www.frames.gov/catalog/935

WRF-SFIRE J. Mandel https://github.com/openwfm/wrf-fire/

Implementations of RandomFront 2.3 in LSFire+ and WRF-SFIRE A. Trucchia https://gitlab.bcamath.org/atrucchia/randomfront-wrfsfire-lsfire

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.