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Skill of large-scale seasonal drought impact forecasts
<p>Forecasting of drought impacts is still lacking in drought early-warning systems (DEWSs), which presently do not go beyond hazard forecasting. Therefore, we developed drought impact functions using machine learning approaches (logistic regression and random forest) to predict drought impact...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2020-06-01
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| Colecção: | Natural Hazards and Earth System Sciences |
| Acesso em linha: | https://www.nat-hazards-earth-syst-sci.net/20/1595/2020/nhess-20-1595-2020.pdf |
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