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...
| Autor principal: | |
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| Outros Autores: | , , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.5/17680 |
| País: | Portugal |
| Oai: | oai:www.repository.utl.pt:10400.5/17680 |