Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0
<p>Wildfires are becoming an increasing challenge to the sustainability of boreal peatland (BP) ecosystems and can alter the stability of boreal carbon storage. However, predicting the occurrence of rare and extreme BP fires proves to be challenging, and gaining a quantitative understanding of the f...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Copernicus Publications
2024-02-01
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| Series: | Geoscientific Model Development |
| Acceso en liña: | https://gmd.copernicus.org/articles/17/1525/2024/gmd-17-1525-2024.pdf |
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