Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation

Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation

Abstract Understanding snow and ice melt dynamics is vital for flood risk assessment and effective water resource management in populated river basins sourced in inaccessible high-mountains. This study provides an AI-enabled hybrid approach integrating glacio-hydrological model outputs (GSM-SOCONT),...

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Bibliographic Details
Main Authors: Jamal Hassan Ougahi, John S Rowan
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Artificial Intelligence (AI)
Hydrological modelling
Hybrid models
Machine learning
Deep learning
Glacier-runoff simulation
Online Access:https://doi.org/10.1038/s41598-025-87187-1
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https://doi.org/10.1038/s41598-025-87187-1

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