Deciphering the impact of uncertainty on the accuracy of large wildfire spread simulations

Predicting wildfire spread is a challenging task fraught with uncertainties. ‘Perfect’ predictions are unfeasible since uncertainties will always be present. Improving fire spread predictions is important to reduce its negative environmental impacts. Here, we propose to understand, characterize, and...

Full description

Bibliographic Details
Main Author: Benali, Akli Ait (author)
Other Authors: Ervilha, Ana R. (author), Sá, Ana C.L. (author), Fernandes, Paulo M. (author), Pinto, Renata (author), Trigo, Ricardo M. (author), Cardoso Pereira, José Miguel (author)
Format: article
Language:eng
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10400.5/17680
Country:Portugal
Oai:oai:www.repository.utl.pt:10400.5/17680