Articles | Volume 22, issue 2
Nat. Hazards Earth Syst. Sci., 22, 303–322, 2022
https://doi.org/10.5194/nhess-22-303-2022
Nat. Hazards Earth Syst. Sci., 22, 303–322, 2022
https://doi.org/10.5194/nhess-22-303-2022

Research article 04 Feb 2022

Research article | 04 Feb 2022

ProbFire: a probabilistic fire early warning system for Indonesia

Tadas Nikonovas et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-245', Anonymous Referee #1, 26 Sep 2021
    • AC1: 'Reply on RC1', Tadas Nikonovas, 24 Nov 2021
  • RC2: 'Comment on nhess-2021-245', Anonymous Referee #2, 15 Oct 2021
    • AC2: 'Reply on RC2', Tadas Nikonovas, 24 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (02 Dec 2021) by Margreth Keiler
AR by Tadas Nikonovas on behalf of the Authors (06 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (22 Dec 2021) by Margreth Keiler
AR by Tadas Nikonovas on behalf of the Authors (23 Dec 2021)  Author's response    Manuscript
Download
Short summary
Extreme fire episodes in Indonesia emit large amounts of greenhouse gasses and have negative effects on human health in the region. In this study we show that such burning events can be predicted several months in advance in large parts of Indonesia using existing seasonal climate forecasts and forest cover change datasets. A reliable early fire warning system would enable local agencies to prepare and mitigate the worst of the effects.
Altmetrics
Final-revised paper
Preprint