EGU2020-9250
https://doi.org/10.5194/egusphere-egu2020-9250
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

A new tool for identifying boundary conditions in coastal oceanic models : First tryouts with a tidal model

Guillaume Koenig1, Clément Aldebert2, Cristèle Chevalier3, and Jean-Luc Devenon1
Guillaume Koenig et al.
  • 1Aix-Marseille Université, Université de Toulon, CNRS, IRD, MIO, UM 110, 13288 Marseille France
  • 2No affiliation
  • 3MIO, Institut de Recherche pour le Développement (IRD), Université d'Aix-Marseille, Université de Toulon, Marseille, France

If lateral boundary conditions are crucial for physical modelling of the ocean dynamics, their estimate may lack of accuracy in coastal regions. Data-assimilation has been a long-used tool to improve accuracy, but most of the existing popular methods are difficult to implement. To solve this, we tried a new and an easy-to-implement method to estimate boundary conditions. This method uses data assimilation with a stochastic gradient descent  and successive approximations of the boundary conditions. We  tested it with twin experiments on a tidal model in the lagoon of Ouano, in New-Caledonia. The method was successful and provided robust estimation of the boundary conditions with various settings of subsampling and noise for the pseudo-data. Here we present those results and discuss about how the stochastic gradient descent and the approximations have to be tuned.

How to cite: Koenig, G., Aldebert, C., Chevalier, C., and Devenon, J.-L.: A new tool for identifying boundary conditions in coastal oceanic models : First tryouts with a tidal model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9250, https://doi.org/10.5194/egusphere-egu2020-9250, 2020

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