Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3791-2023
https://doi.org/10.5194/essd-15-3791-2023
Data description paper
 | 
23 Aug 2023
Data description paper |  | 23 Aug 2023

The Portuguese Large Wildfire Spread database (PT-FireSprd)

Akli Benali, Nuno Guiomar, Hugo Gonçalves, Bernardo Mota, Fábio Silva, Paulo M. Fernandes, Carlos Mota, Alexandre Penha, João Santos, José M. C. Pereira, and Ana C. L. Sá

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Cited articles

Albini, F. A.: Wildland Fires: Predicting the behavior of wildland fires – among nature's most potent forces – can save lives, money, and natural resources, Am. Sci., 72, 590–597, 1984. 
Alcasena, F., Ager, A., Le Page, Y., Bessa, P., Loureiro, C., and Oliveira, T.: Assessing wildfire exposure to communities and protected areas in Portugal, Fire, 4, 82, https://doi.org/10.3390/fire404008, 2021. 
Alexander, M. and Cruz, M. G.: Are the applications of wildland fire behaviour models getting ahead of their evaluation again?, Environ. Model. Softw., 41, 65–71, https://doi.org/10.1016/j.envsoft.2012.11.001, 2013. 
Alexander, M. E. and Cruz, M. G.: Evaluating a model for predicting active crown fire rate of spread using wildfire observations, Can. J. Forest Res., 36, 3015–3028, https://doi.org/10.1139/x06-174, 2006. 
Alexander, M. E. and Lanoville, R. A.: Wildfires as a source of fire behavior data: a case study from Northwest Territories, Canada. 9th Conf. Fire and Forest Meteorology, 21–24 April, San Diego, CA, American Meteorological Society, Boston, Mass, 86–93, 1987. 
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Short summary
We reconstructed the spread of 80 large wildfires that burned recently in Portugal and calculated metrics that describe how wildfires behave, such as rate of spread, growth rate, and energy released. We describe the fire behaviour distribution using six percentile intervals that can be easily communicated to both research and management communities. The database will help improve our current knowledge on wildfire behaviour and support better decision making.
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