Development of a Dynamically Coupled Wind-Wave Model for Improved Modelling of Coastal Flooding
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As a result of rising sea levels and increasing number of extreme weather events due to the climate change, the risk of flooding in coastal areas is increasing as well. To investigate the associated hazards, the MSCA RESCUER doctoral network works on improved simulation codes to model shallow water waves, different flooding scenarios and sediment and pollutant transport in coastal, riverine and estuarine environments. The background of the present study is related to improving the flood risk assessment due to intermediate storms. For that purpose, a dynamically coupled wind-wave co-simulation model with bidirectional interaction is under development. With this, the use of uncertain and highly case specific empirical wind forcing coefficients can be avoided, providing a universal tool to investigate the shallow water waves interacting with the atmospheric wind. In this model, the coupling of the different solvers is realised through a message passing interface (MPI). For the new model, the Nektar++ computational fluid dynamics framework and the Uhaina shallow water solver are utilised. Among many other modules, Nektar++ has a fully non-linear potential flow solver - for deep water - and an incompressible Navier-Stokes solver suitable for the simulation of the wind over waves. While Uhaina is a Boussinesq shallow water model with additional models to simulate flooding and drying in urban areas developed by INRIA and BRGM. To model the physical interaction, the free surface elevation and the air pressure field is communicated between the solvers, iterating them in an alternating way. My presentation will focus on the development, current status and potential use cases of the new wind-wave model. A reference case study with commercial wave models about the Limfjord region in Denmark will be presented, with a great emphasis on the potential improvements by the new dynamically coupled model.
