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Improving Precipitation Forecasts Through Machine Learning of the Decomposed High- and Low-Frequency Components
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DOI：10.1016/j.envsoft.2026.107070.png)
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Abstract
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• The decomposition method demonstrated superior performance in forecasting. • A separate modeling of high- and low- frequency subseries improves precipitation forecasts. • The support vector regression outperformed the other models in capturing nonlinear components.
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