Evaluation of machine learning approaches for large-scale agricultural drought forecasts to improve monitoring and preparedness in Brazil
<p>Drought events have increased in frequency and severity in recent years and result in significant economic losses. Although the Brazilian semi-arid Northeast has been historically associated with the impacts of drought, drought is of national concern. From 2011–2019, drought events w...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-04-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://nhess.copernicus.org/articles/25/1521/2025/nhess-25-1521-2025.pdf |
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