Articles | Volume 21, issue 10
Research article
19 Oct 2021
Research article |  | 19 Oct 2021

ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread

Jeffrey Katan and Liliana Perez


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-179', Anonymous Referee #1, 16 Jul 2021
    • CC1: 'Reply on RC1', Liliana Perez, 24 Jul 2021
    • AC2: 'Reply on RC1', Jeffrey Katan, 08 Sep 2021
  • RC2: 'Comment on nhess-2021-179', James Millington, 20 Aug 2021
    • AC1: 'Reply on RC2', Jeffrey Katan, 08 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (12 Sep 2021) by Sven Fuchs
AR by Jeffrey Katan on behalf of the Authors (22 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (23 Sep 2021) by Sven Fuchs
Short summary
Wildfires are an integral part of ecosystems worldwide, but they also pose a serious risk to human life and property. To further our understanding of wildfires and allow experimentation without recourse to live fires, this study presents an agent-based modelling approach to combine the complexity possible with physical models with the ease of computation of empirical models. Model calibration and validation show bottom-up simulation tracks the core elements of complexity of fire across scales.
Final-revised paper