Improving Hybrid Models for Precipitation Forecasting by Combining Nonlinear Machine Learning Methods

Precipitation forecast is key for water resources management in semi-arid climates. The traditional hybrid models simulate linear and nonlinear components of precipitation series separately. But they do not still provide accurate forecasts. This research aims to improve hybrid models by using an ens...

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