Tides have essential effects on the ocean and climate. Most previous research applies parameterised tidal mixing to discuss their effects in models. By comparing the effect of a tidal mixing parameterisation and tidal forcing on the ocean state, we assess the advantages and disadvantages of the two methods. Our results show that tidal mixing in the North Pacific Ocean strongly affects the global thermohaline circulation. We also list some effects that are not considered in the parameterisation.

By induction, ocean tides generate electromagnetic signals. Since the launch of magnetometer satellite missions, these signals are increasingly used to infer electromagnetic properties of the Earth. In many of these inversions, ocean tide models are used to estimate oceanic tidal electromagnetic signals which are generated via electromagnetic induction. This study's goal is to provide tide model errors for electromagnetic inversion studies.

The study finds that changes in seawater temperature due to El Niño and La Niña, anomalous warm and cold events, are in principle detectable by means of the oceanic tidally induced magnetic field. Furthermore, subsurface processes in the onset of those anomalous events lead the surface processes by several months. This causes a lead in the oceanic tidally induced magnetic field signals over sea-surface temperature signals.

By using geological samples we are trying to validate the models that are reconstructing the sea level in the past 20 000 years. We applied proposed statistical method using 4 types of shells that were found in the area of the Hudson Bay on 140 members of model ensemble. After the comparison of the the results with studies from this area, we concluded that the method is suitable for validation of model ensemble based sea-level change caused by land movement of the Earth due to ice-age burden.

Global numerical models perform differently, as has been found in some model intercomparison studies, which mainly focused on components like evapotranspiration, soil moisture or runoff. We have applied terrestrial water storage that is estimated from a GRACE-based state-of-art post-processing method to validate four global numerical models and try to identify the advantages and deficiencies of a certain model. GRACE-based TWS demonstrates its additional benefits to improve the models in future.