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This study employs Copula-based probabilistic modeling to assess crop-yield loss risks due to drought in sub-Saharan Africa, focusing on maize, millet, and sorghum from 1980 to 2012. The findings reveal that yield loss severity from drought exceeds the severity of drought itself, with precipitation during critical growth stages being the primary factor affecting yields. The research highlights the importance of probabilistic methods for understanding drought impacts and suggests further investigation into c

Author

kimcholho24

Language

EN