Juan Fernando Farfán Durán
Juan Fernando Farfán Durán
Ph.D student at University of A Coruña, Water and Environmental Engineering Group
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A hybrid neural network-based technique to improve the flow forecasting of physical and data-driven models: Methodology and case studies in Andean watersheds
JF Farfán, K Palacios, J Ulloa, A Avilés
Journal of Hydrology: Regional Studies 27, 100652, 2020
Assessing the effects of climate change on compound flooding in coastal river areas
M Bermúdez, JF Farfán, P Willems, L Cea
Water Resources Research 57 (10), e2020WR029321, 2021
A robust method to update local river inundation maps using global climate model output and weather typing based statistical downscaling
M Bermúdez, L Cea, E Van Uytven, P Willems, JF Farfán, J Puertas
Water Resources Management 34, 4345-4362, 2020
Coupling artificial neural networks with the artificial bee colony algorithm for global calibration of hydrological models
JF Farfán, L Cea
Neural Computing and Applications, 1-16, 2021
Improving the predictive skills of hydrological models using a combinatorial optimization algorithm and artificial neural networks
JF Farfán, L Cea
Modeling Earth Systems and Environment 9 (1), 1103-1118, 2023
Regional streamflow prediction in northwest Spain: A comparative analysis of regionalisation schemes
JF Farfán, L Cea
Journal of Hydrology: Regional Studies 47, 101427, 2023
Surrogate-Assisted Evolutionary Algorithm for the Calibration of Distributed Hydrological Models Based on Two-Dimensional Shallow Water Equations
JF Farfán-Durán, A Heidari, T Dhaene, I Couckuyt, L Cea
Water 16 (5), 652, 2024
Extension of 2D shallow water models to hydrological modelling
L Cea, E Bladé i Castellet, O García Feal, M Sanz Ramos, ...
Proceedings of the 39th IAHR World Congress: from Snow to Sea, SS-235-SS-244, 2022
Building hydrological single-model ensembles using artificial neural networks and a combinatorial optimization approach
JF Farfán-Durán, L Cea
EGU General Assembly Conference Abstracts, EGU21-8256, 2021
A swarm intelligence-based method for hydrological model calibration through a simulated solution space
JF Farfán, L Cea
EGU2020, 2020
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