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Muis, Sanne (author), Lin, Ning (author), Verlaan, M. (author), Winsemius, H.C. (author), Ward, Philip J. (author), Aerts, Jeroen C.J.H. (author)
The western North-Atlantic coast experienced major coastal floods in recent years. Coastal floods are primarily composed of tides and storm surges due to tropical (TCs) and extra-tropical cyclones (ETCs). We present a reanalysis from 1988 to 2015 of extreme sea levels that explicitly include TCs for the western North-Atlantic coastline....
journal article 2019
document
Wang, X. (author), Verlaan, M. (author), Apecechea, Maialen Irazoqui (author), Lin, H.X. (author)
In this study, a computation-efficient parameter estimation scheme for high-resolution global tide models is developed. The method is applied to Global Tide and Surge Model with an unstructured grid with a resolution of about 2.5 km in the coastal area and about 4.9 million cells. The estimation algorithm uses an iterative least squares...
journal article 2021
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Wang, X. (author), Verlaan, M. (author), Veenstra, Jelmer (author), Lin, H.X. (author)
Global tide and surge models play a major role in forecasting coastal flooding due to extreme events or climate change. The model performance is strongly affected by parameters such as bathymetry and bottom friction. In this study, we propose a method that estimates bathymetry globally and the bottom friction coefficient in shallow waters for a...
journal article 2022
document
Wang, X. (author), Verlaan, M. (author), Apecechea, Maialen Irazoqui (author), Lin, H.X. (author)
Accurate parameter estimation for the Global Tide and Surge Model (GTSM) benefits from observations with long time-series. However, increasing the number of measurements leads to a large computation demand and increased memory requirements, especially for the ensemble-based methods that assimilate the measurements at one batch. In this study,...
journal article 2022
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