A review on machine learning models for drought monitoring and forecasting
Drought, driven by shifting climate patterns, increasingly threatens hydropower, agriculture, and water supply systems, necessitating robust early detection and forecasting frameworks. This review critically examines recent machine learning (ML) approaches to drought prediction, focusing on meteorol...
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| Autores principales: | , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2025-01-01
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| Colección: | Climate Risk Management |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2212096325000725 |
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