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This study introduces a novel Hybrid Ensemble Machine-Learning (HEML) algorithm to merge long-term satellite-based reanalysis precipitation products, enabling the estimation of super drought events in the Lake Victoria Basin. The algorithm shows excellent performance and captures spatiotemporal patterns of super drought characteristics, offering crucial insights for near-real-time drought monitoring and informed policy decisions.
