New avant-garde hydrological simulations using artificial neuronal networks are presented in the new paper published by some Team Iber members. Have a look to the publication:
Farfán, J.F., Cea, L., 2021. Coupling artificial neural networks with the artificial bee colony algorithm for glob...
Members of Iber Team, in collaboration with other colleagues, develop a method to update intensity-duration-frequency (IDF) rainfall curves, which are then used to force the hydrological-hydrualic coupled model of Iber to assess the flood hazard changes due to Climate Change.Have a llok to the ...
Members of Team Iber, in collaboration with other universities and research groups, have been investigating the potential relationships between the Antecedent Mositure Conditions (AMC) and the infiltration losses method based on Curve Number (CN) providing valuable opportunities and potential b...
Members of the Team Iber presents a flood forecasting system based on Iber, combining the hydrological processes and GPU-paralelization for predicting discharges and water levels at food prone areas of coastal catchments. The next paper is the reference publication:
Fraga, I., Cea, L, Puerta...