Impact‐Based Drought Detection via Interpretable Machine Learning and Causal Discovery
Abstract The intensification of drought events due to climate change presents unprecedented risks and widespread socioenvironmental impacts. Traditional drought indices, which rely on hydrometeorological anomalies, often fall short in capturing the full extent of these impacts, as they primarily foc...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2026-02-01
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| coleção: | Journal of Geophysical Research: Machine Learning and Computation |
| Acesso em linha: | https://doi.org/10.1029/2025JH000693 |
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