Optimization of Salinity Data Assimilation for an Accurate Prediction of Density Variations during Marine Works
View/ Open
Date
2026Author
Chu, Kai
Breugem, Willem Alexander
Leyssen, Gert
Cornu, Tijs
Decrop, Boudewijn
Metadata
Show full item recordAbstract
Abstract Data assimilation improves the accuracy of numerical models by integrating observational
data into model predictions, with the ensemble Kalman filter (EnKF) being a widely
used technique. Despite its effectiveness, EnKF is often computationally ... Practical Applications This study presents a fast and reliable data assimilation method to improve predictions
of salinity in estuaries by integrating field measurements into hydrodynamic models.
During the tunnel immersion project in the Scheldt Estuary ...