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Dataset underlying the study "Ensemble Data Assimilation of Water Levels in a Hydrodynamic Model to Improve Estuarine Salinity Forecasts"

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · updated 16 June 2026

What's in it

In this study, we investigated whether assimilating water level observations can improve salinity forecasts in the Rhine–Meuse Delta. An Ensemble Kalman Filter was implemented to assimilate water level observations in a three-dimensional hydrodynamic model. The dataset includes two NetCDF datasets containing model output data of salinity and waterlevel for the reference simulation and for the ensemble kalman filter experiment and a README.txt file with additional information.

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