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What is Hybrid Model for Monthly Streamflow Prediction about?

This research article presents a hybrid model that combines deep learning with physically based hydrological models for improved monthly streamflow predictions. The model utilizes a simplified hydrological framework to enhance computational efficiency while maintaining accuracy, outperforming traditional models in predicting reservoir inflows. The findings indicate that this approach significantly reduces computational burdens and enhances predictive capabilities, especially in scenarios with limited traini

Author

shyam bhardwaj

Language

EN