Articles | Volume 26, issue 7
https://doi.org/10.5194/nhess-26-3085-2026
https://doi.org/10.5194/nhess-26-3085-2026
Research article
 | 
03 Jul 2026
Research article |  | 03 Jul 2026

Enhancing long-term reservoir inflow forecasting: an integrated approach combining switch prediction method, ensemble rainfall forecasts, and machine learning techniques

Hsuan-Yu Lin, Jhih-Huang Wang, and Ming-Jui Chang

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Short summary
Reservoir operators need reliable forecasts during typhoons to reduce flood risks and secure water supplies. In this study, we developed a method that combines multiple weather forecasts with computer models trained on past rainfall and reservoir inflow records. The approach improved inflow forecasts up to three days ahead, helping reservoir managers make earlier decisions, improve flood control, and better prepare for future extreme weather.
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