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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.
Deel van: FHR reports. Flanders Hydraulics Research: Antwerp, meer

Beschikbaar in  Auteurs 
Documenttype: Projectrapport

Trefwoord
    Hazards > Weather hazards > Storms
Author keywords
    Hindcast; NEVLA

Auteurs  Top 
  • Chu, K.
  • Vanlede, J., meer
  • Maximova, T., meer
  • Decrop, B., meer

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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