M6: Techniques for atmosphere-ocean wave coupling

Principal investigators: Prof. Michael Hinze (Universität Hamburg), Dr. Jeff Carpenter (Helmholtz Center Geesthacht)

Visualization of the air flow over water waves in laboratory experiments using particle imaging velocimetry and laser induced fluorescence techniques. The different panels of the figure show increasing values (from a to e) of the wave age. In all panels, the colors represent values of the horizontal velocity with scale on the right of each panel. Seperation of the air flow from the crests of the waves is clearly seen beginning in (c). © M. Buckley, 2015

We propose to develop new techniques to examine the energy pathways between the atmosphere and ocean due to the dynamics of wind-generated ocean surface waves. This is done primarily through the development of a numerical process model to describe the physical effects at the sharp density interface between atmosphere and ocean, as well as a novel field campaign designed to measure the near-surface ocean energy budget. The connection between these two different methods of analysing the surface wave energy processes will be developed primarily in the future stages of the research proposal. However, a comparison and validation of the numerical model is planned through the analysis and simulation of collected laboratory data using the field methods. Therefore, the primary goal of this subproject is to build up the infrastructure for new process modelling of atmosphere-ocean coupling that is required for the next phase of the CRC.

The numerical modelling will be developed with the help of diffuse interface approaches for multiphase flows with variable densities. Using a variable-density model results in a system of the Cahn-Hilliard/Navier-Stokes type that has already been used to successfully simulate idealised bubble dynamics. We tackle this mathematical model numerically with fully adaptive and integrated numerical schemes tailored to the simulation of variable density multiphase flows governed by diffuse interface models. Our approach is based on a fully adaptive, integrated, efficient, and reliable, numerical method for the simulation of two-dimensional multiphase flows with variable densities. Here, fully adaptive, integrated, efficient, and reliable means that the mesh resolution is chosen by the numerical algorithm according to a prescribed error tolerance in the a posteriori error control on the basis of residual-based error indicators, which allow to estimate the true error from below (efficient) and from above (reliable). The diffuse interface method provides a thermodynamically consistent treatment of the air-water interface that will be extended to model the growth and evolution of wind-generated water waves, and in the next phase of the CRC, atmosphere-ocean interaction. To the best of the applicants knowledge this study would be the first to develop a diffuse interface model to be used in the study of atmosphere-ocean interactions. This shall be done by extending our approach to the simulation of three-dimensional flows, where we incorporate the simulation of surface waves via appropriate forcing terms and boundary conditions. We envision that the development of such a model will allow for detailed process modelling that permits a new understanding and parameterisation of atmosphere-ocean energy transfers.

Parallel with the development of such a model, we propose to conduct a field study to quantify the near-surface energy budget. This would be done by extending an already funded project being carried out at the Helmholtz Zentrum Geesthacht (HZG) designed to measure wind energy input to surface waves. Through this already planned field work, the particle imaging velocimetry (PIV) and laser induced fluorescence (LIF) techniques will be used in situ. As a part of the present CRC project, we shall extend the existing field work to measure the dissipation of energy in the surface wave field and upper ocean mixed layer. This will be done by providing direct microstructure-based and PIV-based measurements of upper ocean turbulence dissipation, as well as through optical techniques of measuring whitecap coverage and wave breaking statistics. This experiment will be the first to combine both energy input and dissipation estimates using these techniques to the surface wave field, and can be used to construct a near-surface ocean energy budget.

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