Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-303-2022
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, Allan Spessa, Stefan H. Doerr, Gareth D. Clay, and Symon Mezbahuddin

Data sets

ProbFire: a probabilistic fire early warning system for Indonesia (0.1) Tadas Nikonovas https://doi.org/10.5281/zenodo.5206278

Model code and software

ProbFire Tadas Nikonovas https://doi.org/10.5281/zenodo.5939892

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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.
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