We are facing a climate crisis, and need to promptly reduce anthropogenic greenhouse gas emissions; for this reason, it is essential for the general public to engage in collective mit- igation behaviors. One of the psychological barriers to engaging in such behaviors is the unawareness that antropogenic global warming (AGW) is affecting people directly where they are, for example by increasing catastrophic extreme weather events. Climate scientists have developed tools such as Extreme Event Attribution (EEA), to understand the regional impacts of AGW at present, and to make projections of future developments. EEA identifies area-specific extreme weather events, and looks for evidence that the frequency, intensity and dynamics of these events have increased due to AGW. Such assessments can enhance the public’s perception of the vicinity and immediacy of the climate crisis, encouraging engage- ment in emission reduction behaviors. In this thesis a statistical and dynamic attribution study was carried out, to understand how AGW is affecting extreme precipitation events over Trentino (northern Italy), such as the 2018 Vaia storm. The results suggest that AGW increased the frequency of events as intense as Vaia by x3.4 CI[0.8, 12.0] from 1960-1985 to 1995-2021. Additionally, AGW increased the predictability (i.e. how predictable the temporal evolution of a Vaia-like atmospheric state is) and persistence of Vaia-like events, and induced thermodynamic changes that are likely responsible for the greater instensity of extreme precipitation like Vaia in Trentino. In response to the urgent need to inform local stakeholders, a communication study was planned, to convey this evidence to the residents of Trentino. In the study, participants will attend an educational video intervention on AGW- induced extreme weather in Trentino. Personal risk perception of AGW and behavioral engagement are hypothesized to increase from before to after the educational intervention.