Local Climate Data Stories: Data-driven Storytelling to Communicate Effects and Mitigation of Climate Change in a Local Context

Presenting the effects of and effective countermeasures for climate change is a significant challenge in science communication. Datadriven storytelling and narrative visualization can be part of the solution. However, the communication is limited when restricted to global or cross-regional scales, as climate effects are particular to the location and adaptions need to be local. In this work, we focus on data-driven storytelling that communicates local impacts of climate change. We analyze the adoption of data-driven storytelling by local news media in addressing climate-related topics. Further, we investigate the specific characteristics of the local scenario and present three application examples to showcase potential local datadriven stories. Since these examples are rooted in university teaching, we also discuss educational aspects. Finally, we summarize the interdisciplinary research challenges and opportunities for application associated with data-driven storytelling in a local context.