Paper summary generated by OpenAI: This paper proposes a novel approach to actionable climate information by reversing the traditional impact chain methodology, focusing on end-user needs. By linking specific climate risk thresholds to emissions pathways, the authors highlight the importance of understanding socioeconomic factors and value judgments in identifying these thresholds. The approach is exemplified through case studies addressing health-related heat risks in Berlin, fire weather in Portugal, and glacier mass loss in High Mountain Asia. The findings underscore the potential benefits of stringent emissions reductions for local decision-makers and society at large.
