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...
Main Authors: | S. J. Sutanto, M. van der Weert, V. Blauhut, H. A. J. Van Lanen |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-06-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://www.nat-hazards-earth-syst-sci.net/20/1595/2020/nhess-20-1595-2020.pdf |
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