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contributor authorChu, Kai
contributor authorBreugem, Willem Alexander
contributor authorLeyssen, Gert
contributor authorCornu, Tijs
contributor authorDecrop, Boudewijn
date accessioned2026-08-20T21:03:57Z
date available2026-08-20T21:03:57Z
date copyright2026/02/04
date issued2026
identifier otherJWPED5.WWENG-2421.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313895
description abstractAbstract 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 ...
publisherAmerican Society of Civil Engineers
titleOptimization of Salinity Data Assimilation for an Accurate Prediction of Density Variations during Marine Works
typeJournal Article
journal volume152
journal issue3
journal titleJournal of Waterway, Port, Coastal, and Ocean Engineering
identifier doi10.1061/JWPED5.WWENG-2421
journal fristpage04026004-1
journal lastpage04026004-11
page11
treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2026:;Volume ( 152 ):;issue: 003
contenttypeFulltext


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