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Researchers from Colorado State University have developed a new framework using artificial intelligence to generate multiple, diverse rainfall scenarios instead of just a single prediction. This approach improves forecast accuracy and helps assess the level of uncertainty in future climate conditions. The study demonstrated that this framework can enhance rainfall prediction accuracy up to two weeks in advance, supporting decision-making processes in agriculture, water resource management, and disaster preparedness. The researchers hope to expand the method to include longer-term forecasts and additional weather variables to further improve the reliability of future predictions.
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