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

Viewed

Total article views: 2,863 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,153 631 79 2,863 290 49 50
  • HTML: 2,153
  • PDF: 631
  • XML: 79
  • Total: 2,863
  • Supplement: 290
  • BibTeX: 49
  • EndNote: 50
Views and downloads (calculated since 20 Sep 2021)
Cumulative views and downloads (calculated since 20 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,863 (including HTML, PDF, and XML) Thereof 2,677 with geography defined and 186 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
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