Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/139761
Author(s): Isabel Iglesias
José Luís Pinho
Paulo Avilez Valente
William Melo
Ana Bio
Ana Gomes
José Vieira
Luísa Bastos
Fernando Veloso Gomes
Title: Improving Estuarine Hydrodynamic Forecasts Through Numerical Model Ensembles
Issue Date: 2022
Abstract: Numerical models are essential tools for the study and analysis of the hydrodynamics of estuarine systems. However, the model results contain uncertainties, which need to be minimized to increase the accuracy of predictions. In this work, the ensemble technique is proposed as a solution to improve hydrodynamic forecasts for estuarine regions. Two numerical models, openTELEMAC-MASCARET and Delft3D, were considered for the application of this technique to two Portuguese estuaries. Superensembles for three scenarios (summer, winter, and extreme event) were built to assess the effectiveness of the technique in improving water level prediction. Various weighing techniques were tested in the construction of the ensembles. Weighing techniques that consider the previous performance of each model alone outperformed other techniques. This was observed for all scenarios considered, at all sampling points and in both studied estuaries. The effect of the ensemble size was also analyzed. It was found that the size of the set is directly related to the prediction accuracy, with the best results provided by the superensembles with the highest number of elements. It is concluded that the combined use of several hydrodynamic models reduces the uncertainty of the results and increases the reliability and consistency of predictions for estuarine regions.
URI: https://hdl.handle.net/10216/139761
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:FCUP - Artigo em Revista Científica Internacional
FEUP - Artigo em Revista Científica Internacional
ICBAS - Artigo em Revista Científica Internacional

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