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Improving the predictive skills of hydrological models using a combinatorial optimization algorithm and artificial neural networks
(Springer, 2023)
[Abstract:] Ensemble modelling is a numerical technique used to combine the results of a number of different individual models in order to obtain more robust, better-fitting predictions. The main drawback of ensemble ...
Coupling artificial neural networks with the artificial bee colony algorithm for global calibration of hydrological models
(Springer, 2021)
[Abstract:] Hydrological models are widely used tools in water resources management. Their successful application requires an efficient calibration of the model parameters. Nowadays, there are very powerful global search ...
Regional streamflow prediction in northwest Spain: A comparative analysis of regionalisation schemes
(Elsevier, 2023)
[Abstract:] Study Region: The present study was conducted in 24 watersheds located in the region of Galicia, in the northwest of Spain, covering an extension of approximately 13,000 km.
Study focus: This study is focused ...