Automatic calibration of a tidal estuary model of the Scheldt using data assimilation algorithm
Chu, K.; Breugem, W.A.; Wang, L.; Wolf, T.; Koutrouveli, T.; Decrop, B. (2022). Automatic calibration of a tidal estuary model of the Scheldt using data assimilation algorithm, in: Bourban, S.E. et al. Proceedings of the XXVIIIth TELEMAC user conference, 18-19 October 2022, Paris-Saclay. pp. 289-296
In: Bourban, S.E. et al. (2022). Proceedings of the XXVIIIth TELEMAC user conference, 18-19 October 2022, Paris-Saclay. EDF Direction Recherche et Développement: Paris-Saclay. 307 pp.
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Documenttype: Congresbijdrage
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| Author keywords |
Automatic calibration, tidal estuary, TELEMAC-3D, Scheldt, ADAO, TELAPY |
| Auteurs | | Top |
- Chu, K.
- Breugem, W.A.
- Wang, L.
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- Wolf, T.
- Koutrouveli, T.
- Decrop, B.
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| Abstract |
A tidal estuary model of the Scheldt is developed in TELEMAC-3D. The model is calibrated on bottom roughness using an automatic procedure. The Python module TELAPY, is online coupled with the Python ADAO library from the SALOME platform. The 3D-Variational data assimilation algorithm is adopted to improve water level predictions along the estuary. The automatic calibration routine steers iterative runs, after each of which the bottom roughness is updated based on the minimization of a cost function. After automatic calibration, the model reproduces the hydrodynamics in the Scheldt Estuary accurately. For instance, the averaged root-mean-square-error (RMSE) of the water level is reduced to 12 cm and the M2 tidal amplitude is accurately reproduced. The Scheldt model is also validated for stormy period and validated against ADCP transect data. Therefore, the Scheldt model is considered as a reliable and efficient tool for various applications in the estuary. |
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