Smartwatches are a rapidly growing market with big potential. However, the small screen of the device also poses new challenges when it comes to visualizations. Especially with more complex representations. Weather data offers many possible visualizations, which are on the more complex side. Whether it is the temperature course being displayed as a chart, or the humidity represented as a progress bar. In this work, the new weather application for smartwatches WeDaVis is introduced, using new ways of visualizing weather information. As the results of our user study revealed, did participants not prefer a specific type of data representation, but instead, the preferences depended on the type of weather information. Participants preferred the visualizations of WeDaVis for more unfamiliar data, as for example wind, and air pressure. Textual representations are preferred, when it comes to common information, like temperature. Additional results showed, that possibilities of interaction should be visualized, otherwise some participants had problems to identify them. As participants had diverse interests in weather information, applications should be customizable in the best case, and should show around six data representations on the main screen. The field of weather data on smartwatches is fairly new, and this project aims to contribute to this research by making an attempt to develop an efficient weather application, suitable for the use case of a smartwatch.