The project aim is to gain a deeper insight in the flow dynamics of Canadian Arctic and Baffin Bay. The Canadian Arctic Archipelago (CAA) is a complex area formed by narrow straits and islands in the Arctic. It is an important pathway for tidal energy exchange, freshwater, and sea-ice transport from the Arctic Ocean to the Labrador Sea and ultimately to the Atlantic Ocean. The flux of freshwater through the CAA plays an important role in the local freshwater budget of the Arctic and North Atlantic and may play an important role in convective processes in the Labrador Sea. Changes in the circulation of freshened seawater and ice can significantly affect the distribution of sea-ice in the Arctic, recirculation of the surface waters and freshwater fluxes around Greenland as well as the strength of ocean circulation in the Atlantic and, therefore, have the potential to influence both regional and global climate. Yet, the ocean circulation in this region is poorly understood. Tides may contribute to sea ice deformation, they produce mixing and heat anomalies required for polynya formation. These periodic openings of the pack ice influence heat exchange and enhance the rate of ice production. On the other hand ice conditions and stratification cause seasonal variations in the tidal constituents. It is known that ocean waves can fracture ice and hence stimulate melting. On the other hand, decreased ice coverage can give larger fetch for wave generation. The contribution of sea ice on freshwater fluxes is not clearly understood. Our ultimate goal is to develop high resolution regional coupled ice-ocean-wave model which accurately simulate mass, heat and salt transports, correctly reproduces tidal wave dynamics, capture the complex tidal structure,resolve residual currents and tide-induced water transports along the coast and in the narrow straights. Since winds modulate the state of the sea ice cover, determining variability in multi-year and first-year ice distribution, regions of net growth and melt of sea ice, and the amount of total freshwater content, the meteorological forcing should also be included.The first step is to setup a high-resolution tidal model of the domain. We start with a model two-dimensional (depth integrated) model run, to simulate the water surface elevation and barotropic tidal velocities. The model will be calibrated and validated against available water level and current data. Specific results of interest include predictions of tidal datums, such as mean high water, tidal range, etc., at all points in the model domain. Additionally, calculations of root-mean-square tidal speed will be made to indicate regions of strong tidal mixing.