| dc.description.abstract | This project takes on the challenges of visualizing uncertainty in weather forecasts, aiming to create efficient, simple, and user-friendly solutions that present complex data. Specifically, it focuses on the visualization of precipitation, wind, and temperature. The preliminary research explored the field of data visualization, with the aim to find challenges and opportunities within the field. Uncertainty visualization became the chosen subject as the existing literature showed gaps open to explore further, and weather forecasts were specifically relevant due to the complexity of data and user comprehension. Literature and the project’s qualitative research uncovers how uncertainty information can be helpful for decision-making and risk evaluation. When uncertainty is not presented, users frequently draw from their past experiences and knowledge to interpret forecasts, thereby forming their own mental models of uncertainty. New insights led to ideation and concept development, which resulted in new ways to visualize uncertainty in weather forecasting. | en_US |
