University of Maryland Centre for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, MD, 21532, USA.
Department of Applied Ecology, Campus Box 7617, North Carolina State University Campus, Raleigh, NC, 27695, USA.
Nat Commun. 2019 Feb 12;10(1):614. doi: 10.1038/s41467-019-08540-3.
A major challenge in articulating human dimensions of climate change lies in translating global climate forecasts into impact assessments that are intuitive to the public. Climate-analog mapping involves matching the expected future climate at a location (e.g., a person's city of residence) with current climate of another, potentially familiar, location - thereby providing a more relatable, place-based assessment of climate change. For 540 North American urban areas, we used climate-analog mapping to identify the location that has a contemporary climate most similar to each urban area's expected 2080's climate. We show that climate of most urban areas will shift considerably and become either more akin to contemporary climates hundreds of kilometers away and mainly to the south or will have no modern equivalent. Combined with an interactive web application, we provide an intuitive means of raising public awareness of the implications of climate change for 250 million urban residents.
在阐述气候变化的人文维度方面,主要面临的挑战之一在于如何将全球气候预测转化为公众易于理解的影响评估。气候类似性映射涉及将某个地点(例如,一个人的居住城市)的预期未来气候与另一个可能熟悉的地点的当前气候进行匹配,从而提供更相关、基于地点的气候变化评估。对于 540 个北美城市地区,我们使用气候类似性映射来确定与每个城市地区预期的 2080 年代气候最相似的地理位置。我们表明,大多数城市地区的气候将发生重大变化,要么变得与数百公里外的现代气候更为相似,主要是向南,要么将没有现代气候的对应物。结合一个交互式网络应用程序,我们提供了一种直观的方式,使公众了解气候变化对 2.5 亿城市居民的影响。