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Assessing the Effects of Climate Change on Compound Flooding in Coastal River Areas
(AGU Journals, 2021)
[Abstract] Flood assessment in coastal river areas is subject to complex dependencies and interactions between flood drivers. In addition, coastal areas are especially vulnerable to climate change, and thus its effects ...
A robust method to update local river inundation maps using global climate model output and weather typing based statistical downscaling
(Springer, 2020)
[Abstract:] Global warming is changing the magnitude and frequency of extreme precipitation events. This requires updating local rainfall intensity-duration-frequency (IDF) curves and flood hazard maps according to the ...
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 ...