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Model‐en data‐analyse ten behoeve van betere tij‐verwachtingen: sub report 4. Hindcast with 2D NEVLA
Chu, K.; Vanlede, J.; Maximova, T.; Decrop, B.; Deschamps, M.; Verwaest, T.; Mostaert, F. (2017). Model‐en data‐analyse ten behoeve van betere tij‐verwachtingen: sub report 4. Hindcast with 2D NEVLA. Version 2.0. FHR reports, 16_016_4. Flanders Hydraulics Research: Antwerp. X, 57 + 2 p. appendices pp.
Part of: FHR reports. Flanders Hydraulics Research: Antwerp, more
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Document type: Project report
Keywords
    Hazards > Weather hazards > Storms
    Hydraulics and sediment > Hydrodynamics > Current velocities  and patterns
    Hydraulics and sediment > Hydrodynamics > Tides
    Literature and desktop study
Author keywords
    Hindcast; NEVLA
Authors  Top 
Abstract
    This study investigates the causes of under prediction of high water levels by the operational forecasting system during two recent storm periods. Sensitivity analysis has shown wind forcing is of great importance. Hirlam wind with forecast horizon of 6 hours does not necessarily possess the best quality. Salinity shows potential positive impact on model performance, however extensive model calibration and validation are recommended before including it on the operational forecasting system (VSSKS). The river discharge and different nesting scripts show limited impact on water level predictions.
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