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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gianni Pagnini on behalf of the Authors (11 Sep 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Oct 2018) by Tomomichi Kato
RR by Anonymous Referee #1 (11 Oct 2018)
ED: Publish subject to minor revisions (review by editor) (11 Oct 2018) by Tomomichi Kato
AR by Gianni Pagnini on behalf of the Authors (17 Oct 2018)  Author's response    Manuscript
ED: Publish as is (28 Nov 2018) by Tomomichi Kato
AR by Gianni Pagnini on behalf of the Authors (08 Dec 2018)  Author's response    Manuscript
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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.