Improving prediction and assessment of global fires using multilayer neural networks
Abstract Fires determine vegetation patterns, impact human societies, and are a part of complex feedbacks into the global climate system. Empirical and process-based models differ in their scale and mechanistic assumptions, giving divergent predictions of fire drivers and extent. Although humans hav...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/a3ab8a19941149dc9df7cb901805c0e6 |
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