Wave growth rate estimations using diffusive interface simulations
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Global circulation models are sensitive to the ocean- and atmosphere coupling along the air-sea interface. A profound understanding of the wind-wave exchange processes is therefore indispensable for accurate weather predictions and climate models. The latter are gaining importance in a world of a quickly progressing climate change. In particular, identification and quantification of the energy transfer mechanisms that initiate wave growth are are not sufficiently understood and a focal point of present efforts. Though various methods for the prediction of energy wave growth rates have been published which showed promising results for restricted wind-wave scenarios, a general theory has still not been established. We present results of a hybrid scale-resolving, numerical method that fully resolves both the air and water phase. The model employs a diffusive Cahn-Hilliard Volume-of-Fluid approach in combination with a hybrid turbulence model and replicates arbitrary wind- wave scenarios at high resolution. Data processing strictly follows experimental approaches and thereby supports joint numerical/experimental studies. Based on these coupled two-phase flow simulations, various energetic pathways to explain the wave growth under different wind-wave scenarios will be analyzed and compared to recent open field PIV measurements. Results should provide insights into the understanding of wave growth mechanisms.