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

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Cited articles

Aldrian, E. and Dwi Susanto, R.: Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature, Int. J. Climatol., 23, 1435–1452, https://doi.org/10.1002/joc.950, 2003. 
Alduchov, O. A. and Eskridge, R. E.: Improved Magnus Form Approximation of Saturation Vapor Pressure, J. Appl. Meteorol. Climatol., 35, 601–609, https://doi.org/10.1175/1520-0450(1996)035<0601:IMFAOS>2.0.CO;2, 1996. 
Arino, O., Casadio, S., and Serpe, D.: Global night-time fire season timing and fire count trends using the ATSR instrument series, Remote Sens. Environ., 116, 226–238, https://doi.org/10.1016/j.rse.2011.05.025, 2012. 
Barnston, A. G.: Linear Statistical Short-Term Climate Predictive Skill in the Northern Hemisphere, J. Climate, 7, 1513–1564, https://doi.org/10.1175/1520-0442(1994)007<1513:LSSTCP>2.0.CO;2, 1994. 
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. 
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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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