Challenges and Opportunities for Understanding Societal Impacts of Climate Extremes
Gabriele Messori, Emily Boyd, Joakim Nivre, Elena Raffetti
Uppsala University Stockholm University Royal Swedish Academy of Sciences Lund University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Climate extremes exact a heavy and differential toll on society. Reported economic losses are primarily concentrated in developed economies, whereas reported fatalities occur overwhelmingly in developing economies. Moreover, even at single locations the adverse impacts of extreme climate events are often unequally distributed across the population. Understanding such impacts holds enormous societal and economic value, and is a key step towards climate resilience and adaptation. Recent research advances include improved impact forecasting and enhanced understanding of how the interaction between human and natural systems shapes the impacts of climate extremes. Nonetheless, there are some key challenges that have hindered progress. We focus on three: Limited availability and quality of impact data, difficulties in understanding the processes leading to impacts and lack of reliable impact projections. We argue that newly released datasets and recent methodological and technical advances open a window of opportunity to address several dimensions of these challenges. Notable examples include extracting impact information from textual sources using large language models and developing impact projections using data-driven approaches. Moreover, interdisciplinary collaborations between the social and natural sciences can elucidate processes underlying past climate impacts and enable building storylines of future societal impacts. We call for building momentum in seizing these opportunities for a breakthrough in the study of impacts of climate extremes. Achieving meaningful progress will require interdisciplinary and intersectoral research, and strong collaboration across academic, policy and practitioner communities.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Climate change impacts on agriculture
Sustainability and Climate Change Governance · Climate Change, Adaptation, Migration