Coastal polynyas are regions of open water, surrounded by the sea ice cover, which form in the polar regions. Their opening is mostly driven by the wind stress, which pushes the ice away from the coast, allowing for intense, continuous frazil ice production in the open-water region. Polynyas play an important role in sea ice production, dense water formation and ocean-atmosphere interactions. To accurately estimate the amount of sea ice produced in polynya, it is crucial to know the rate of sea ice displacement away from shore. Yet, despite the high importance of this phenomenon, there is a scarcity of observational research about it. While there exist some idealised theoretical studies, there is lack of high resolution empirical data, which would allow for validation and general advancement of knowledge in this subject - especially regarding the short term, detailed dynamics. This study focused on the observation and analysis of the dynamical evolution of Terra Nova Bay Polynya, based on a high resolution dataset, manually prepared, as a part of this study. The dataset consists of set of results from analysis of satellite images from the period 2012-2017. It provides estimates of the velocities at which the frazil ice was displaced offshore during polynya events. Given dataset stands out due to its unprecedented high temporal resolution, which gives several results per day, while previously, at most only 2 measurements per day were available. This feature is essential, to accurately describe polynya dynamics, as they can open and close even within 24h. While it is true that strong, elongated wind (in the case of Terra Nova Bay Polynya, katabatic wind) is a necessary condition to open a coastal polynya, this assumption - present in several studies - that wind stress alone can describe the full evolution of a polynya holds true only in its initial stages, as the analysis presented in this study shows that wind stress does not solely control polynya dynamics, especially beyond the initial phase. To fully capture the dynamics in the later stages, it is necessary to also consider properties of sea ice. The findings highlight the importance of distinguishing between different stages of polynya evolution and changing mechanisms controlling them. The dataset developed in this work provides a strong foundation for future studies and already offers valuable insights into the subject of polynyas.