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    Optimization of Salinity Data Assimilation for an Accurate Prediction of Density Variations during Marine Works

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    JWPED5.WWENG-2421.pdf (19.15Mb)
    Date
    2026
    Author
    Chu, Kai
    Breugem, Willem Alexander
    Leyssen, Gert
    Cornu, Tijs
    Decrop, Boudewijn
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    Abstract
    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 ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4313895
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    • Journal of Waterway, Port, Coastal, and Ocean Engineering

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